Mehryar Mohri - RankMe

350 papers A* 83A 26B 20C 14Misc 3Journal 155Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Theoretical Framework for Modular Learning of Robust Generative Models. CoRR Corinna Cortes, Mehryar Mohri, Yutao Zhong
2026	J	`jnl`	Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization. CoRR Ruichen Jiang, Zakaria Mhammedi, Mehryar Mohri, Aryan Mokhtari
2026	J	`jnl`	Efficient Opportunistic Approachability. CoRR Teodor Vanislavov Marinov, Mehryar Mohri, Princewill Okoroafor, Jon Schneider, Julian Zimmert
2026	J	`jnl`	Next-Token Prediction and Regret Minimization. CoRR Mehryar Mohri, Clayton Sanford, Jon Schneider, Kiran Vodrahalli, Yifan Wu
2026	J	`jnl`	Rational Transductors. CoRR Mehryar Mohri
2026	J	`jnl`	Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance. CoRR Jacob L. Block, Mehryar Mohri, Aryan Mokhtari, Sanjay Shakkottai
2025	A*	`conf`	Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. ICML Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. CoRR Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Beyond Tsybakov: Model Margin Noise and ℋ-Consistency Bounds. CoRR Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Budgeted Multiple-Expert Deferral. CoRR Giulia DeSalvo, Clara Mohri, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Coherence Mechanisms for Provable Self-Improvement. CoRR Mehryar Mohri, Jon Schneider, Yifan Wu
2025	B	`conf`	Enhanced H-Consistency Bounds. ALT Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	High-Dimensional Calibration from Swap Regret. CoRR Maxwell Fishelson, Noah Golowich, Mehryar Mohri, Jon Schneider
2025	J	`jnl`	Improved Balanced Classification with Theoretically Grounded Loss Functions. CoRR Corinna Cortes, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Mastering Multiple-Expert Routing: Realizable CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	A*	`conf`	Mastering Multiple-Expert Routing: Realizable H-Consistency and Strong Guarantees for Learning to Defer. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	A*	`conf`	Principled Algorithms for Optimizing Generalized Metrics in Binary Classification. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Principled Algorithms for Optimizing Generalized Metrics in Binary Classification. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	A*	`conf`	Rate-Preserving Reductions for Blackwell Approachability. COLT Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2025	A*	`conf`	Swap Regret and Correlated Equilibria Beyond Normal-Form Games. EC Eshwar Ram Arunachaleswaran, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2025	J	`jnl`	Swap Regret and Correlated Equilibria Beyond Normal-Form Games. CoRR Eshwar Ram Arunachaleswaran, Natalie Collina, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2024	Misc	`conf`	A Theory of Learning with Competing Objectives and User Feedback. ISAIM Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
2024	A*	`conf`	A Universal Growth Rate for Learning with Smooth Surrogate Losses. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	A Universal Growth Rate for Learning with Smooth Surrogate Losses. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Best-effort adaptation. Ann. Math. Artif. Intell. Pranjal Awasthi, Corinna Cortes, Mehryar Mohri
2024	A*	`conf`	Cardinality-Aware Set Prediction and Top-$k$ Classification. NeurIPS Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Cardinality-Aware Set Prediction and Top-k Classification. CoRR Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	Differentially Private Domain Adaptation with Theoretical Guarantees. ICML Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri
2024	J	`jnl`	Enhanced H-Consistency Bounds. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	H-Consistency Guarantees for Regression. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	H-Consistency Guarantees for Regression. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	Multi-Label Learning with Stronger Consistency Guarantees. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Multi-Label Learning with Stronger Consistency Guarantees. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	B	`conf`	Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms. ALT Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	Misc	`conf`	Principled Approaches for Learning to Defer with Multiple Experts. ISAIM Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Rate-Preserving Reductions for Blackwell Approachability. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2024	A*	`conf`	Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	Regression with Multi-Expert Deferral. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Regression with Multi-Expert Deferral. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A	`conf`	Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention. AISTATS Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Theory and algorithms for learning with rejection in binary classification. Ann. Math. Artif. Intell. Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2024	J	`jnl`	Top-k Classification and Cardinality-Aware Prediction. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Best-Effort Adaptation. CoRR Pranjal Awasthi, Corinna Cortes, Mehryar Mohri
2023	A*	`conf`	Cross-Entropy Loss Functions: Theoretical Analysis and Applications. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Cross-Entropy Loss Functions: Theoretical Analysis and Applications. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Differentially Private Domain Adaptation with Theoretical Guarantees. CoRR Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri
2023	A*	`conf`	H-Consistency Bounds for Pairwise Misranking Loss Surrogates. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A*	`conf`	H-Consistency Bounds: Characterization and Extensions. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Principled Approaches for Learning to Defer with Multiple Experts. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A	`conf`	Principled Approaches for Private Adaptation from a Public Source. AISTATS Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
2023	B	`conf`	Pseudonorm Approachability and Applications to Regret Minimization. ALT Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2023	J	`jnl`	Pseudonorm Approachability and Applications to Regret Minimization. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2023	J	`jnl`	Ranking with Abstention. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A*	`conf`	Reinforcement Learning Can Be More Efficient with Multiple Rewards. ICML Christoph Dann, Yishay Mansour, Mehryar Mohri
2023	A*	`conf`	Structured Prediction with Stronger Consistency Guarantees. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A	`conf`	Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness. AISTATS Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A*	`conf`	Two-Stage Learning to Defer with Multiple Experts. NeurIPS Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
2022	J	`jnl`	A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning. CoRR Christoph Dann, Mehryar Mohri, Tong Zhang, Julian Zimmert
2022	A*	`conf`	Differentially Private Learning with Margin Guarantees. NeurIPS Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
2022	J	`jnl`	Differentially Private Learning with Margin Guarantees. CoRR Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
2022	A*	`conf`	Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. ICML Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2022	J	`jnl`	Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2022	A*	`conf`	H-Consistency Bounds for Surrogate Loss Minimizers. ICML Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2022	J	`jnl`	H-Consistency Estimation Error of Surrogate Loss Minimizers. CoRR Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2022	A*	`conf`	Multi-Class $H$-Consistency Bounds. NeurIPS Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2022	J	`jnl`	Multiple-source adaptation theory and algorithms - addendum. Ann. Math. Artif. Intell. Judy Hoffman, Mehryar Mohri, Ningshan Zhang
2022	J	`jnl`	Private Domain Adaptation from a Public Source. CoRR Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh
2022	A*	`conf`	Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality. NeurIPS Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert
2022	J	`jnl`	Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality. CoRR Teodor V. Marinov, Mehryar Mohri, Julian Zimmert
2022	A*	`conf`	Strategizing against Learners in Bayesian Games. COLT Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2022	J	`jnl`	Strategizing against Learners in Bayesian Games. CoRR Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian Sivan
2021	A*	`conf`	A Discriminative Technique for Multiple-Source Adaptation. ICML Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang
2021	J	`jnl`	A Field Guide to Federated Optimization. CoRR Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
2021	J	`jnl`	A Finer Calibration Analysis for Adversarial Robustness. CoRR Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2021	A*	`conf`	A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning. NeurIPS Christoph Dann, Mehryar Mohri, Tong Zhang, Julian Zimmert
2021	A	`conf`	A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. AISTATS Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh, Ke Wu
2021	J	`jnl`	Adapting to Misspecification in Contextual Bandits. CoRR Dylan J. Foster, Claudio Gentile, Mehryar Mohri, Julian Zimmert
2021	J	`jnl`	Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2021	A*	`conf`	Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations. NeurIPS Ayush Sekhari, Christoph Dann, Mehryar Mohri, Yishay Mansour, Karthik Sridharan
2021	J	`jnl`	Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2021	A*	`conf`	Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. NeurIPS Christoph Dann, Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert
2021	J	`jnl`	Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning. CoRR Christoph Dann, Teodor V. Marinov, Mehryar Mohri, Julian Zimmert
2021	A*	`conf`	Boosting with Multiple Sources. NeurIPS Corinna Cortes, Mehryar Mohri, Dmitry Storcheus, Ananda Theertha Suresh
2021	A*	`conf`	Breaking the centralized barrier for cross-device federated learning. NeurIPS Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh
2021	A*	`conf`	Calibration and Consistency of Adversarial Surrogate Losses. NeurIPS Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
2021	J	`jnl`	Calibration and Consistency of Adversarial Surrogate Losses. CoRR Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
2021	A	`conf`	Communication-Efficient Agnostic Federated Averaging. Interspeech Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh
2021	J	`jnl`	Communication-Efficient Agnostic Federated Averaging. CoRR Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh
2021	A	`conf`	Corralling Stochastic Bandit Algorithms. AISTATS Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri
2021	A*	`conf`	Learning with User-Level Privacy. NeurIPS Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh
2021	J	`jnl`	Learning with User-Level Privacy. CoRR Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh
2021	J	`jnl`	Multiple-source adaptation theory and algorithms. Ann. Math. Artif. Intell. Ningshan Zhang, Mehryar Mohri, Judy Hoffman
2021	A*	`conf`	On the Existence of The Adversarial Bayes Classifier. NeurIPS Pranjal Awasthi, Natalie Frank, Mehryar Mohri
2021	J	`jnl`	On the Existence of the Adversarial Bayes Classifier (Extended Version). CoRR Pranjal Awasthi, Natalie S. Frank, Mehryar Mohri
2021	A*	`conf`	Relative Deviation Margin Bounds. ICML Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh
2020	J	`jnl`	A Theory of Multiple-Source Adaptation with Limited Target Labeled Data. CoRR Yishay Mansour, Mehryar Mohri, Ananda Theertha Suresh, Ke Wu
2020	A*	`conf`	Adapting to Misspecification in Contextual Bandits. NeurIPS Dylan J. Foster, Claudio Gentile, Mehryar Mohri, Julian Zimmert
2020	A*	`conf`	Adaptive Region-Based Active Learning. ICML Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2020	J	`jnl`	Adaptive Region-Based Active Learning. CoRR Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2020	A*	`conf`	Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks. ICML Pranjal Awasthi, Natalie Frank, Mehryar Mohri
2020	J	`jnl`	Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks. CoRR Pranjal Awasthi, Natalie Frank, Mehryar Mohri
2020	A*	`conf`	Agnostic Learning with Multiple Objectives. NeurIPS Corinna Cortes, Mehryar Mohri, Javier Gonzalvo, Dmitry Storcheus
2020	J	`jnl`	Beyond Individual and Group Fairness. CoRR Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri
2020	J	`jnl`	Corralling Stochastic Bandit Algorithms. CoRR Raman Arora, Teodor V. Marinov, Mehryar Mohri
2020	J	`jnl`	Discrepancy-Based Theory and Algorithms for Forecasting Non-Stationary Time Series. Ann. Math. Artif. Intell. Vitaly Kuznetsov, Mehryar Mohri
2020	A*	`conf`	FedBoost: A Communication-Efficient Algorithm for Federated Learning. ICML Jenny Hamer, Mehryar Mohri, Ananda Theertha Suresh
2020	J	`jnl`	Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning. CoRR Sai Praneeth Karimireddy, Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh
2020	J	`jnl`	Multiple-Source Adaptation with Domain Classifiers. CoRR Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh, Ningshan Zhang
2020	J	`jnl`	On the Rademacher Complexity of Linear Hypothesis Sets. CoRR Pranjal Awasthi, Natalie Frank, Mehryar Mohri
2020	A*	`conf`	Online Learning with Dependent Stochastic Feedback Graphs. ICML Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2020	A*	`conf`	PAC-Bayes Learning Bounds for Sample-Dependent Priors. NeurIPS Pranjal Awasthi, Satyen Kale, Stefani Karp, Mehryar Mohri
2020	A*	`conf`	Reinforcement Learning with Feedback Graphs. NeurIPS Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2020	J	`jnl`	Reinforcement Learning with Feedback Graphs. CoRR Christoph Dann, Yishay Mansour, Mehryar Mohri, Ayush Sekhari, Karthik Sridharan
2020	J	`jnl`	Relative Deviation Margin Bounds. CoRR Corinna Cortes, Mehryar Mohri, Ananda Theertha Suresh
2020	A*	`conf`	SCAFFOLD: Stochastic Controlled Averaging for Federated Learning. ICML Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh
2020	J	`jnl`	Three Approaches for Personalization with Applications to Federated Learning. CoRR Yishay Mansour, Mehryar Mohri, Jae Ro, Ananda Theertha Suresh
2019	A*	`conf`	Active Learning with Disagreement Graphs. ICML Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Ningshan Zhang, Claudio Gentile
2019	J	`jnl`	AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles. CoRR Charles Weill, Javier Gonzalvo, Vitaly Kuznetsov, Scott Yang, Scott Yak, Hanna Mazzawi, Eugen Hotaj, Ghassen Jerfel, Vladimir Macko, Ben Adlam, Mehryar Mohri, Corinna Cortes
2019	J	`jnl`	Adaptation Based on Generalized Discrepancy. J. Mach. Learn. Res. Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina
2019	J	`jnl`	Advances and Open Problems in Federated Learning. CoRR Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2019	A*	`conf`	Agnostic Federated Learning. ICML Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh
2019	J	`jnl`	Agnostic Federated Learning. CoRR Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh
2019	A*	`conf`	Bandits with Feedback Graphs and Switching Costs. NeurIPS Raman Arora, Teodor Vanislavov Marinov, Mehryar Mohri
2019	J	`jnl`	Bandits with Feedback Graphs and Switching Costs. CoRR Raman Arora, Teodor V. Marinov, Mehryar Mohri
2019	A*	`conf`	Hypothesis Set Stability and Generalization. NeurIPS Dylan J. Foster, Spencer Greenberg, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan
2019	J	`jnl`	Hypothesis Set Stability and Generalization. CoRR Dylan J. Foster, Spencer Greenberg, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan
2019	A*	`conf`	Learning GANs and Ensembles Using Discrepancy. NeurIPS Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang
2019	J	`jnl`	Learning GANs and Ensembles Using Discrepancy. CoRR Ben Adlam, Corinna Cortes, Mehryar Mohri, Ningshan Zhang
2019	A*	`conf`	Online Learning with Sleeping Experts and Feedback Graphs. ICML Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
2019	B	`conf`	Online Non-Additive Path Learning under Full and Partial Information. ALT Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth
2019	A	`conf`	Region-Based Active Learning. AISTATS Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Ningshan Zhang
2019	A*	`conf`	Regularized Gradient Boosting. NeurIPS Corinna Cortes, Mehryar Mohri, Dmitry Storcheus
2019	J	`jnl`	Relative deviation learning bounds and generalization with unbounded loss functions. Ann. Math. Artif. Intell. Corinna Cortes, Spencer Greenberg, Mehryar Mohri
2019	J	`jnl`	SCAFFOLD: Stochastic Controlled Averaging for On-Device Federated Learning. CoRR Sai Praneeth Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U. Stich, Ananda Theertha Suresh
2018	B	`ed.`	Algorithmic Learning Theory, ALT 2018, 7-9 April 2018, Lanzarote, Canary Islands, Spain ALT Firdaus Janoos, Mehryar Mohri, Karthik Sridharan
2018	A*	`conf`	Algorithms and Theory for Multiple-Source Adaptation. NeurIPS Judy Hoffman, Mehryar Mohri, Ningshan Zhang
2018	J	`jnl`	Algorithms and Theory for Multiple-Source Adaptation. CoRR Judy Hoffman, Mehryar Mohri, Ningshan Zhang
2018	A	`conf`	Competing with Automata-based Expert Sequences. AISTATS Mehryar Mohri, Scott Yang
2018	A*	`conf`	Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses. NeurIPS Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Dmitry Storcheus, Scott Yang
2018	J	`jnl`	Generalization bounds for learning weighted automata. Theor. Comput. Sci. Borja Balle, Mehryar Mohri
2018	A*	`conf`	Logistic Regression: The Importance of Being Improper. COLT Dylan J. Foster, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan
2018	J	`jnl`	Logistic Regression: The Importance of Being Improper. CoRR Dylan J. Foster, Satyen Kale, Haipeng Luo, Mehryar Mohri, Karthik Sridharan
2018	A*	`conf`	Online Learning with Abstention. ICML Corinna Cortes, Giulia DeSalvo, Claudio Gentile, Mehryar Mohri, Scott Yang
2018	J	`jnl`	Online Non-Additive Path Learning under Full and Partial Information. CoRR Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Holakou Rahmanian, Manfred K. Warmuth
2018	J	`jnl`	Parameter-free online learning via model selection. CoRR Dylan J. Foster, Satyen Kale, Mehryar Mohri, Karthik Sridharan
2018	A*	`conf`	Policy Regret in Repeated Games. NeurIPS Raman Arora, Michael Dinitz, Teodor Vanislavov Marinov, Mehryar Mohri
2018	J	`jnl`	Policy Regret in Repeated Games. CoRR Raman Arora, Michael Dinitz, Teodor V. Marinov, Mehryar Mohri
2018	J	`jnl`	Theory and Algorithms for Forecasting Time Series. CoRR Vitaly Kuznetsov, Mehryar Mohri
2017	J	`jnl`	A disambiguation algorithm for weighted automata. Theor. Comput. Sci. Mehryar Mohri, Michael D. Riley
2017	A*	`conf`	AdaNet: Adaptive Structural Learning of Artificial Neural Networks. ICML Corinna Cortes, Xavier Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
2017	—	`conf`	Discriminative State Space Models. NIPS Vitaly Kuznetsov, Mehryar Mohri
2017	J	`jnl`	Generalization bounds for non-stationary mixing processes. Mach. Learn. Vitaly Kuznetsov, Mehryar Mohri
2017	J	`jnl`	Multiple-Source Adaptation for Regression Problems. CoRR Judy Hoffman, Mehryar Mohri, Ningshan Zhang
2017	J	`jnl`	On-line Learning with Abstention. CoRR Corinna Cortes, Giulia DeSalvo, Mehryar Mohri, Scott Yang
2017	J	`jnl`	Online Learning with Expert Automata. CoRR Mehryar Mohri, Scott Yang
2017	—	`conf`	Online Learning with Transductive Regret. NIPS Scott Yang, Mehryar Mohri
2017	—	`conf`	Parameter-Free Online Learning via Model Selection. NIPS Dylan J. Foster, Satyen Kale, Mehryar Mohri, Karthik Sridharan
2016	A	`conf`	Accelerating Online Convex Optimization via Adaptive Prediction. AISTATS Mehryar Mohri, Scott Yang
2016	J	`jnl`	AdaNet: Adaptive Structural Learning of Artificial Neural Networks. CoRR Corinna Cortes, Xavi Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
2016	A	`conf`	Adaptive Algorithms and Data-Dependent Guarantees for Bandit Convex Optimization. UAI Scott Yang, Mehryar Mohri
2016	—	`conf`	Boosting with Abstention. NIPS Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2016	J	`jnl`	Generalization Bounds for Weighted Automata. CoRR Borja Balle, Mehryar Mohri
2016	J	`jnl`	Learning Algorithms for Second-Price Auctions with Reserve. J. Mach. Learn. Res. Mehryar Mohri, Andres Muñoz Medina
2016	A	`conf`	Learning N-Gram Language Models from Uncertain Data. INTERSPEECH Vitaly Kuznetsov, Hank Liao, Mehryar Mohri, Michael Riley, Brian Roark
2016	B	`conf`	Learning with Rejection. ALT Corinna Cortes, Giulia DeSalvo, Mehryar Mohri
2016	—	`conf`	Optimistic Bandit Convex Optimization. NIPS Scott Yang, Mehryar Mohri
2016	A*	`conf`	Random Composite Forests. AAAI Giulia DeSalvo, Mehryar Mohri
2016	B	`conf`	Structural Online Learning. ALT Mehryar Mohri, Scott Yang
2016	—	`conf`	Structured Prediction Theory Based on Factor Graph Complexity. NIPS Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Scott Yang
2016	J	`jnl`	Structured Prediction Theory and Voted Risk Minimization. CoRR Corinna Cortes, Mehryar Mohri, Vitaly Kuznetsov, Scott Yang
2016	A*	`conf`	Time series prediction and online learning. COLT Vitaly Kuznetsov, Mehryar Mohri
2015	J	`jnl`	Accelerating Optimization via Adaptive Prediction. CoRR Mehryar Mohri, Scott Yang
2015	A*	`conf`	Adaptation Algorithm and Theory Based on Generalized Discrepancy. KDD Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina
2015	J	`jnl`	Automata and Graph Compression. CoRR Mehryar Mohri, Michael Riley, Ananda Theertha Suresh
2015	B	`conf`	Automata and graph compression. ISIT Mehryar Mohri, Michael Riley, Ananda Theertha Suresh
2015	J	`jnl`	Foundations of Coupled Nonlinear Dimensionality Reduction. CoRR Dmitry Storcheus, Mehryar Mohri, Afshin Rostamizadeh
2015	—	`conf`	Generalization Bounds for Supervised Dimensionality Reduction. FE@NIPS Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus
2015	—	`conf`	Kernel Extraction via Voted Risk Minimization. FE@NIPS Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri
2015	—	`conf`	Learning Theory and Algorithms for Forecasting Non-stationary Time Series. NIPS Vitaly Kuznetsov, Mehryar Mohri
2015	—	`conf`	Learning Weighted Automata. CAI Borja Balle, Mehryar Mohri
2015	B	`conf`	Learning with Deep Cascades. ALT Giulia DeSalvo, Mehryar Mohri, Umar Syed
2015	J	`jnl`	Non-parametric Revenue Optimization for Generalized Second Price Auctions. CoRR Mehryar Mohri, Andres Muñoz Medina
2015	A	`conf`	Non-parametric Revenue Optimization for Generalized Second Price auctions.. UAI Mehryar Mohri, Andres Muñoz Medina
2015	C	`conf`	On the Disambiguation of Weighted Automata. CIAA Mehryar Mohri, Michael D. Riley
2015	B	`conf`	On the Rademacher Complexity of Weighted Automata. ALT Borja Balle, Mehryar Mohri
2015	A*	`conf`	On-Line Learning Algorithms for Path Experts with Non-Additive Losses. COLT Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Manfred K. Warmuth
2015	—	`conf`	Revenue Optimization against Strategic Buyers. NIPS Mehryar Mohri, Andres Muñoz Medina
2015	A*	`conf`	Structural Maxent Models. ICML Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
2015	J	`jnl`	Voted Kernel Regularization. CoRR Corinna Cortes, Prasoon Goyal, Vitaly Kuznetsov, Mehryar Mohri
2014	J	`jnl`	Adaptation Algorithm and Theory Based on Generalized Discrepancy. CoRR Corinna Cortes, Mehryar Mohri, Andres Muñoz Medina
2014	—	`conf`	Conditional Swap Regret and Conditional Correlated Equilibrium. NIPS Mehryar Mohri, Scott Yang
2014	B	`conf`	Corporate learning at scale: lessons from a large online course at google. L@S Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong
2014	A*	`conf`	Deep Boosting. ICML Corinna Cortes, Mehryar Mohri, Umar Syed
2014	J	`jnl`	Domain adaptation and sample bias correction theory and algorithm for regression. Theor. Comput. Sci. Corinna Cortes, Mehryar Mohri
2014	A*	`conf`	Ensemble Methods for Structured Prediction. ICML Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
2014	B	`conf`	Generalization Bounds for Time Series Prediction with Non-stationary Processes. ALT Vitaly Kuznetsov, Mehryar Mohri
2014	—	`conf`	Learning Ensembles of Structured Prediction Rules. ACL (1) Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri
2014	A*	`conf`	Learning Theory and Algorithms for revenue optimization in second price auctions with reserve. ICML Mehryar Mohri, Andres Muñoz Medina
2014	—	`conf`	Multi-Class Deep Boosting. NIPS Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
2014	J	`jnl`	On the Disambiguation of Weighted Automata. CoRR Mehryar Mohri, Michael D. Riley
2014	—	`conf`	Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers. NIPS Mehryar Mohri, Andres Muñoz Medina
2014	J	`jnl`	Revenue Optimization in Posted-Price Auctions with Strategic Buyers. CoRR Mehryar Mohri, Andres Muñoz Medina
2013	J	`jnl`	Large-scale SVD and manifold learning. J. Mach. Learn. Res. Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri, Henry A. Rowley
2013	—	`conf`	Learning Kernels Using Local Rademacher Complexity. NIPS Corinna Cortes, Marius Kloft, Mehryar Mohri
2013	J	`jnl`	Learning Theory and Algorithms for Revenue Optimization in Second-Price Auctions with Reserve. CoRR Mehryar Mohri, Andres Muñoz Medina
2013	—	`conf`	Multi-Class Classification with Maximum Margin Multiple Kernel. ICML (3) Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2013	J	`jnl`	On the Disambiguation of Finite Automata and Functional Transducers. Int. J. Found. Comput. Sci. Mehryar Mohri
2013	J	`jnl`	Perceptron Mistake Bounds CoRR Mehryar Mohri, Afshin Rostamizadeh
2013	J	`jnl`	Relative Deviation Learning Bounds and Generalization with Unbounded Loss Functions. CoRR Corinna Cortes, Spencer Greenberg, Mehryar Mohri
2013	J	`jnl`	Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation. CoRR Spencer Greenberg, Mehryar Mohri
2012	C	`conf`	A Disambiguation Algorithm for Finite Automata and Functional Transducers. CIAA Mehryar Mohri
2012	—	`conf`	Accuracy at the Top. NIPS Stephen P. Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic
2012	J	`jnl`	Algorithms for Learning Kernels Based on Centered Alignment CoRR Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2012	J	`jnl`	Algorithms for Learning Kernels Based on Centered Alignment. J. Mach. Learn. Res. Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2012	J	`jnl`	Ensembles of Kernel Predictors CoRR Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2012	—	`book`	Foundations of Machine Learning. Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar
2012	J	`jnl`	L2 Regularization for Learning Kernels CoRR Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2012	J	`jnl`	Multiple Source Adaptation and the Renyi Divergence CoRR Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2012	J	`jnl`	New Analysis and Algorithm for Learning with Drifting Distributions CoRR Mehryar Mohri, Andres Muñoz Medina
2012	B	`conf`	New Analysis and Algorithm for Learning with Drifting Distributions. ALT Mehryar Mohri, Andres Muñoz Medina
2012	J	`jnl`	Sampling Methods for the Nyström Method. J. Mach. Learn. Res. Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
2012	—	`conf`	Spectral Learning of General Weighted Automata via Constrained Matrix Completion. NIPS Borja Balle, Mehryar Mohri
2011	J	`jnl`	A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels. Int. J. Found. Comput. Sci. Cyril Allauzen, Corinna Cortes, Mehryar Mohri
2011	A	`conf`	Can matrix coherence be efficiently and accurately estimated? AISTATS Mehryar Mohri, Ameet Talwalkar
2011	J	`jnl`	Combinatorial and Algorithmic Aspects of Sequence Processing (Dagstuhl Seminar 11081). Dagstuhl Reports Maxime Crochemore, Lila Kari, Mehryar Mohri, Dirk Nowotka
2011	B	`conf`	Domain Adaptation in Regression. ALT Corinna Cortes, Mehryar Mohri
2011	A	`conf`	Ensembles of Kernel Predictors. UAI Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2011	J	`jnl`	General Algorithms for Testing the Ambiguity of Finite Automata and the Double-Tape Ambiguity of Finite-State Transducers. Int. J. Found. Comput. Sci. Cyril Allauzen, Mehryar Mohri, Ashish Rastogi
2010	A*	`ed.`	COLT 2010 - The 23rd Conference on Learning Theory, Haifa, Israel, June 27-29, 2010 COLT Adam Tauman Kalai, Mehryar Mohri
2010	A	`conf`	Discriminative Topic Segmentation of Text and Speech. AISTATS Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein
2010	J	`jnl`	Efficient and Robust Music Identification With Weighted Finite-State Transducers. IEEE Trans. Speech Audio Process. Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein
2010	—	`conf`	Expected Sequence Similarity Maximization. HLT-NAACL Cyril Allauzen, Shankar Kumar, Wolfgang Macherey, Mehryar Mohri, Michael Riley
2010	A*	`conf`	Generalization Bounds for Learning Kernels. ICML Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2010	A	`conf`	Half Transductive Ranking. AISTATS Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri
2010	C	`conf`	Large-Scale Training of SVMs with Automata Kernels. CIAA Cyril Allauzen, Corinna Cortes, Mehryar Mohri
2010	—	`conf`	Learning Bounds for Importance Weighting. NIPS Corinna Cortes, Yishay Mansour, Mehryar Mohri
2010	J	`jnl`	On the Estimation of Coherence CoRR Mehryar Mohri, Ameet Talwalkar
2010	A	`conf`	On the Impact of Kernel Approximation on Learning Accuracy. AISTATS Corinna Cortes, Mehryar Mohri, Ameet Talwalkar
2010	J	`jnl`	Preference-based learning to rank. Mach. Learn. Nir Ailon, Mehryar Mohri
2010	J	`jnl`	Stability Bounds for Stationary phi-mixing and beta-mixing Processes. J. Mach. Learn. Res. Mehryar Mohri, Afshin Rostamizadeh
2010	A*	`conf`	Two-Stage Learning Kernel Algorithms. ICML Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2009	A	`conf`	A new quality measure for topic segmentation of text and speech. INTERSPEECH Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein
2009	J	`jnl`	Domain Adaptation: Learning Bounds and Algorithms CoRR Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2009	A*	`conf`	Domain Adaptation: Learning Bounds and Algorithms. COLT Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2009	—	`conf`	Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models. NIPS Gideon Mann, Ryan T. McDonald, Mehryar Mohri, Nathan Silberman, Dan Walker
2009	—	`conf`	Ensemble Nystrom Method. NIPS Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
2009	A	`conf`	Gaussian Margin Machines. AISTATS Koby Crammer, Mehryar Mohri, Fernando Pereira
2009	J	`jnl`	General suffix automaton construction algorithm and space bounds. Theor. Comput. Sci. Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein
2009	A	`conf`	L2 Regularization for Learning Kernels. UAI Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2009	—	`conf`	Learning Non-Linear Combinations of Kernels. NIPS Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2009	J	`jnl`	Linear-Space Computation of the Edit-Distance between a String and a Finite Automaton CoRR Cyril Allauzen, Mehryar Mohri
2009	A	`conf`	Multiple Source Adaptation and the Rényi Divergence. UAI Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2009	J	`jnl`	N-Way Composition of Weighted Finite-State Transducers. Int. J. Found. Comput. Sci. Cyril Allauzen, Mehryar Mohri
2009	J	`jnl`	New Generalization Bounds for Learning Kernels CoRR Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
2009	A*	`conf`	On sampling-based approximate spectral decomposition. ICML Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
2009	—	`conf`	Polynomial Semantic Indexing. NIPS Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri
2009	A	`conf`	Sampling Techniques for the Nystrom Method. AISTATS Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar
2009	J	`jnl`	Stability Analysis and Learning Bounds for Transductive Regression Algorithms CoRR Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi
2008	J	`jnl`	3-Way Composition of Weighted Finite-State Transducers CoRR Cyril Allauzen, Mehryar Mohri
2008	C	`conf`	3-Way Composition of Weighted Finite-State Transducers. CIAA Cyril Allauzen, Mehryar Mohri
2008	A*	`conf`	An Efficient Reduction of Ranking to Classification. COLT Nir Ailon, Mehryar Mohri
2008	—	`conf`	Domain Adaptation with Multiple Sources. NIPS Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh
2008	J	`jnl`	General Algorithms for Testing the Ambiguity of Finite Automata CoRR Cyril Allauzen, Mehryar Mohri, Ashish Rastogi
2008	C	`conf`	General Algorithms for Testing the Ambiguity of Finite Automata. Developments in Language Theory Cyril Allauzen, Mehryar Mohri, Ashish Rastogi
2008	J	`jnl`	Kernel methods for learning languages. Theor. Comput. Sci. Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
2008	—	`conf`	Learning with Weighted Transducers. FSMNLP Corinna Cortes, Mehryar Mohri
2008	J	`jnl`	On the Computation of the Relative Entropy of Probabilistic Automata. Int. J. Found. Comput. Sci. Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley
2008	—	`conf`	Rademacher Complexity Bounds for Non-I.I.D. Processes. NIPS Mehryar Mohri, Afshin Rostamizadeh
2008	J	`jnl`	Sample Selection Bias Correction Theory CoRR Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh
2008	B	`conf`	Sample Selection Bias Correction Theory. ALT Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh
2008	A*	`conf`	Sequence kernels for predicting protein essentiality. ICML Cyril Allauzen, Mehryar Mohri, Ameet Talwalkar
2008	J	`jnl`	Stability Bound for Stationary Phi-mixing and Beta-mixing Processes CoRR Mehryar Mohri, Afshin Rostamizadeh
2008	A*	`conf`	Stability of transductive regression algorithms. ICML Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi
2007	—	`conf`	An Alternative Ranking Problem for Search Engines. WEA Corinna Cortes, Mehryar Mohri, Ashish Rastogi
2007	J	`jnl`	An efficient reduction of ranking to classification CoRR Nir Ailon, Mehryar Mohri
2007	C	`conf`	Factor Automata of Automata and Applications. CIAA Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein
2007	J	`jnl`	L Int. J. Found. Comput. Sci. Corinna Cortes, Mehryar Mohri, Ashish Rastogi
2007	A*	`conf`	Learning Languages with Rational Kernels. COLT Corinna Cortes, Leonid Kontorovich, Mehryar Mohri
2007	A*	`conf`	Magnitude-preserving ranking algorithms. ICML Corinna Cortes, Mehryar Mohri, Ashish Rastogi
2007	C	`conf`	OpenFst: A General and Efficient Weighted Finite-State Transducer Library. CIAA Cyril Allauzen, Michael Riley, Johan Schalkwyk, Wojciech Skut, Mehryar Mohri
2007	—	`conf`	Robust Music Identification, Detection, and Analysis. ISMIR Mehryar Mohri, Pedro J. Moreno, Eugene Weinstein
2007	—	`conf`	Stability Bounds for Non-i.i.d. Processes. NIPS Mehryar Mohri, Afshin Rostamizadeh
2006	B	`conf`	A Unified Construction of the Glushkov, Follow, and Antimirov Automata. MFCS Cyril Allauzen, Mehryar Mohri
2006	B	`conf`	Efficient Computation of the Relative Entropy of Probabilistic Automata. LATIN Corinna Cortes, Mehryar Mohri, Ashish Rastogi, Michael Riley
2006	B	`conf`	Learning Linearly Separable Languages. ALT Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
2006	—	`conf`	On Transductive Regression. NIPS Corinna Cortes, Mehryar Mohri
2006	C	`conf`	On the Computation of Some Standard Distances Between Probabilistic Automata. CIAA Corinna Cortes, Mehryar Mohri, Ashish Rastogi
2006	—	`conf`	Probabilistic Context-Free Grammar Induction Based on Structural Zeros. HLT-NAACL Mehryar Mohri, Brian Roark
2005	—	`conf`	A Comparison of Classifiers for Detecting Emotion from Speech. ICASSP (1) Izhak Shafran, Mehryar Mohri
2005	A*	`conf`	A general regression technique for learning transductions. ICML Corinna Cortes, Mehryar Mohri, Jason Weston
2005	A*	`conf`	Margin-Based Ranking Meets Boosting in the Middle. COLT Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire
2005	J	`jnl`	Moment Kernels for Regular Distributions. Mach. Learn. Corinna Cortes, Mehryar Mohri
2005	—	`conf`	Multi-armed Bandit Algorithms and Empirical Evaluation. ECML Joannès Vermorel, Mehryar Mohri
2005	J	`jnl`	The design principles and algorithms of a weighted grammar library. Int. J. Found. Comput. Sci. Cyril Allauzen, Mehryar Mohri, Brian Roark
2005	J	`jnl`	Weighted Automata in Text and Speech Processing CoRR Mehryar Mohri, Fernando Pereira, Michael Riley
2004	C	`conf`	A General Weighted Grammar Library. CIAA Cyril Allauzen, Mehryar Mohri, Brian Roark
2004	—	`conf`	A generalized construction of integrated speech recognition transducers. ICASSP (1) Cyril Allauzen, Mehryar Mohri, Michael Riley, Brian Roark
2004	J	`jnl`	An optimal pre-determinization algorithm for weighted transducers. Theor. Comput. Sci. Cyril Allauzen, Mehryar Mohri
2004	—	`conf`	Confidence Intervals for the Area Under the ROC Curve. NIPS Corinna Cortes, Mehryar Mohri
2004	A*	`conf`	Distribution kernels based on moments of counts. ICML Corinna Cortes, Mehryar Mohri
2004	J	`jnl`	Rational Kernels: Theory and Algorithms. J. Mach. Learn. Res. Corinna Cortes, Patrick Haffner, Mehryar Mohri
2004	A*	`conf`	Statistical Modeling for Unit Selection in Speech Synthesis. ACL Mehryar Mohri, Cyril Allauzen, Michael Riley
2003	—	`conf`	AUC Optimization vs. Error Rate Minimization. NIPS Corinna Cortes, Mehryar Mohri
2003	C	`conf`	An Efficient Pre-determinization Algorithm. CIAA Cyril Allauzen, Mehryar Mohri
2003	J	`jnl`	Edit-Distance Of Weighted Automata: General Definitions And Algorithms. Int. J. Found. Comput. Sci. Mehryar Mohri
2003	J	`jnl`	Efficient Algorithms for Testing the Twins Property. J. Autom. Lang. Comb. Cyril Allauzen, Mehryar Mohri
2003	J	`jnl`	Finitely Subsequential Transducers. Int. J. Found. Comput. Sci. Cyril Allauzen, Mehryar Mohri
2003	A*	`conf`	Generalized Algorithms for Constructing Statistical Language Models. ACL Cyril Allauzen, Mehryar Mohri, Brian Roark
2003	—	`conf`	Generalized optimization algorithm for speech recognition transducers. ICASSP (1) Cyril Allauzen, Mehryar Mohri
2003	—	`conf`	Lattice kernels for spoken-dialog classification. ICASSP (1) Corinna Cortes, Patrick Haffner, Mehryar Mohri
2003	A*	`conf`	Learning from Uncertain Data. COLT Mehryar Mohri
2003	A*	`conf`	Positive Definite Rational Kernels. COLT Corinna Cortes, Patrick Haffner, Mehryar Mohri
2003	A	`conf`	Weighted automata kernels - general framework and algorithms. INTERSPEECH Corinna Cortes, Patrick Haffner, Mehryar Mohri
2002	A	`conf`	A comparison of two LVR search optimization techniques. INTERSPEECH Stephan Kanthak, Hermann Ney, Michael Riley, Mehryar Mohri
2002	A	`conf`	An efficient algorithm for the n-best-strings problem. INTERSPEECH Mehryar Mohri, Michael Riley
2002	C	`conf`	Edit-Distance of Weighted Automata. CIAA Mehryar Mohri
2002	J	`jnl`	Generic e-Removal and Input e-Normalization Algorithms for Weighted Transducers. Int. J. Found. Comput. Sci. Mehryar Mohri
2002	—	`conf`	Rational Kernels. NIPS Corinna Cortes, Patrick Haffner, Mehryar Mohri
2002	J	`jnl`	Semiring Frameworks and Algorithms for Shortest-Distance Problems. J. Autom. Lang. Comb. Mehryar Mohri
2002	J	`jnl`	Weighted finite-state transducers in speech recognition. Comput. Speech Lang. Mehryar Mohri, Fernando Pereira, Michael Riley
2002	C	`conf`	p-Subsequentiable Transducers. CIAA Cyril Allauzen, Mehryar Mohri
2001	A	`conf`	A weight pushing algorithm for large vocabulary speech recognition. INTERSPEECH Mehryar Mohri, Michael Riley
2000	J	`jnl`	Context-Free Recognition with Weighted Automata. Grammars Corinna Cortes, Mehryar Mohri
2000	C	`conf`	Generic epsilon -Removal Algorithm for Weighted Automata. CIAA Mehryar Mohri
2000	J	`jnl`	Minimization algorithms for sequential transducers. Theor. Comput. Sci. Mehryar Mohri
2000	J	`jnl`	The Design Principles of a Weighted Finite-State Transducer Library. Theor. Comput. Sci. Mehryar Mohri, Fernando C. N. Pereira, Michael Riley
1999	—	`conf`	Integrated context-dependent networks in very large vocabulary speech recognition. EUROSPEECH Mehryar Mohri, Michael Riley
1999	J	`jnl`	Network optimizations for large-vocabulary speech recognition. Speech Commun. Mehryar Mohri, Michael Riley
1999	—	`conf`	Rapid unit selection from a large speech corpus for concatenative speech synthesis. EUROSPEECH Mark C. Beutnagel, Mehryar Mohri, Michael Riley
1998	—	`conf`	Dynamic Compilation of Weighted Context-Free Grammars. COLING-ACL Mehryar Mohri, Fernando C. N. Pereira
1998	Misc	`conf`	Full expansion of context-dependent networks in large vocabulary speech recognition. ICASSP Mehryar Mohri, Michael Riley, Donald Hindle, Andrej Ljolje, Fernando C. N. Pereira
1998	—	`conf`	VPQ: a spoken language interface to large scale directory information. ICSLP Bruce Buntschuh, Candace A. Kamm, Giuseppe Di Fabbrizio, Alicia Abella, Mehryar Mohri, Shrikanth S. Narayanan, Ilija Zeljkovic, R. Doug Sharp, Jeremy H. Wright, S. Marcus, J. Shaffer, R. Duncan, Jay G. Wilpon
1997	—	`conf`	A Rational Design for a Weighted Finite-State Transducer Library. Workshop on Implementing Automata Mehryar Mohri, Fernando C. N. Pereira, Michael Riley
1997	J	`jnl`	Finite-State Transducers in Language and Speech Processing. Comput. Linguistics Mehryar Mohri
1997	J	`jnl`	String-Matching with Automata. Nord. J. Comput. Mehryar Mohri
1997	—	`conf`	Transducer composition for context-dependent network expansion. EUROSPEECH Michael Riley, Fernando Pereira, Mehryar Mohri
1997	—	`conf`	Weighted determinization and minimization for large vocabulary speech recognition. EUROSPEECH Mehryar Mohri, Michael Riley
1996	J	`jnl`	Algorithms for Speech Recognition and Language Processing CoRR Mehryar Mohri, Michael Riley, Richard Sproat
1996	J	`jnl`	An Efficient Compiler for Weighted Rewrite Rules CoRR Mehryar Mohri, Richard Sproat
1996	A*	`conf`	An Efficient Compiler for Weighted Rewrite Rules. ACL Mehryar Mohri, Richard Sproat
1996	J	`jnl`	On some applications of finite-state automata theory to natural language processing. Nat. Lang. Eng. Mehryar Mohri
1995	C	`conf`	Computation of French Temporal Expressions to Query Databases. NLDB Denis Maurel, Mehryar Mohri
1995	B	`conf`	Matching Patterns of An Automaton. CPM Mehryar Mohri
1994	A*	`conf`	Compact Representations by Finite-State Transducers. ACL Mehryar Mohri
1994	J	`jnl`	Compact Representations by Finite-State Transducers. CoRR Mehryar Mohri
1994	B	`conf`	Minimization of Sequential Transducers. CPM Mehryar Mohri
1994	J	`jnl`	Syntactic Analysis by Local Grammars Automata: an Efficient Algorithm. CoRR Mehryar Mohri