Ambuj Tewari - RankMe

271 papers A* 54A 29B 4Misc 1Journal 157Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distribution-Free Robust Predict-Then-Optimize in Function Spaces. CoRR Yash Patel, Ambuj Tewari
2026	J	`jnl`	On Generation in Metric Spaces. CoRR Jiaxun Li, Vinod Raman, Ambuj Tewari
2025	J	`jnl`	A Characterization of List Language Identification in the Limit. CoRR Moses Charikar, Chirag Pabbaraju, Ambuj Tewari
2025	A*	`conf`	A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs. ICML Kihyuk Hong, Ambuj Tewari
2025	J	`jnl`	A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs. CoRR Kihyuk Hong, Ambuj Tewari
2025	J	`jnl`	A Greedy PDE Router for Blending Neural Operators and Classical Methods. CoRR Sahana Rayan, Yash P. Patel, Ambuj Tewari
2025	A*	`conf`	A Theoretical Framework for Partially-Observed Reward States in RLHF. ICLR Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari
2025	B	`conf`	A Unified Theory of Supervised Online Learnability. ALT Vinod Raman, Unique Subedi, Ambuj Tewari
2025	J	`jnl`	An Asymptotically Optimal Algorithm for the Convex Hull Membership Problem. Trans. Mach. Learn. Res. Gang Qiao, Ambuj Tewari
2025	J	`jnl`	Characterizing the Multiclass Learnability of Forgiving 0-1 Loss Functions. CoRR Jacob Trauger, Tyson Trauger, Ambuj Tewari
2025	J	`jnl`	Continuum Transformers Perform In-Context Learning by Operator Gradient Descent. CoRR Abhiti Mishra, Yash Patel, Ambuj Tewari
2025	J	`jnl`	Controlling Statistical, Discretization, and Truncation Errors in Learning Fourier Linear Operators. Trans. Mach. Learn. Res. Unique Subedi, Ambuj Tewari
2025	J	`jnl`	Examining the Impact of Local Constraint Violations on Energy Computations in DFT. J. Comput. Chem. Vaibhav Khanna, Bikash Kanungo, Vikram Gavini, Ambuj Tewari, Paul M. Zimmerman
2025	A*	`conf`	Generation through the lens of learning theory. COLT Vinod Raman, Jiaxun Li, Ambuj Tewari
2025	J	`jnl`	Generator-Mediated Bandits: Thompson Sampling for GenAI-Powered Adaptive Interventions. CoRR Marc Brooks, Gabriel Durham, Kihyuk Hong, Ambuj Tewari
2025	J	`jnl`	If generative AI is the answer, what is the question? CoRR Ambuj Tewari
2025	A	`conf`	Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span. AISTATS Woojin Chae, Kihyuk Hong, Yufan Zhang, Ambuj Tewari, Dabeen Lee
2025	J	`jnl`	Learning to Partially Defer for Sequences. CoRR Sahana Rayan, Ambuj Tewari
2025	A*	`conf`	Leveraging Offline Data in Linear Latent Contextual Bandits. ICML Chinmaya Kausik, Kevin Tan, Ambuj Tewari
2025	J	`jnl`	Offline Constrained Reinforcement Learning under Partial Data Coverage. CoRR Kihyuk Hong, Ambuj Tewari
2025	J	`jnl`	On Next-Token Prediction in LLMs: How End Goals Determine the Consistency of Decoding Algorithms. CoRR Jacob Trauger, Ambuj Tewari
2025	A*	`conf`	On the Benefits of Active Data Collection in Operator Learning. ICML Unique Subedi, Ambuj Tewari
2025	J	`jnl`	Operator Learning for Schrödinger Equation: Unitarity, Error Bounds, and Time Generalization. CoRR Yash P. Patel, Unique Subedi, Ambuj Tewari
2025	J	`jnl`	Operator Learning: A Statistical Perspective. CoRR Unique Subedi, Ambuj Tewari
2025	J	`jnl`	Quantum Learning Theory Beyond Batch Binary Classification. Quantum Preetham Mohan, Ambuj Tewari
2025	A	`conf`	Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs. AISTATS Kihyuk Hong, Woojin Chae, Yufan Zhang, Dabeen Lee, Ambuj Tewari
2025	—	`conf`	The Complexity of Sequential Prediction in Dynamical Systems. L4DC Vinod Raman, Unique Subedi, Ambuj Tewari
2025	J	`jnl`	Zero-Shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities. CoRR Tara Radvand, Mojtaba Abdolmaleki, Mohamed Mostagir, Ambuj Tewari
2024	J	`jnl`	A Characterization of Multioutput Learnability. J. Mach. Learn. Res. Vinod Raman, Unique Subedi, Ambuj Tewari
2024	J	`jnl`	A Framework for Partially Observed Reward-States in RLHF. CoRR Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari
2024	A*	`conf`	A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs. ICML Kihyuk Hong, Ambuj Tewari
2024	J	`jnl`	A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Low-Rank MDPs. CoRR Kihyuk Hong, Ambuj Tewari
2024	A	`conf`	A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning. AISTATS Kihyuk Hong, Yuhang Li, Ambuj Tewari
2024	A*	`conf`	Apple Tasting: Combinatorial Dimensions and Minimax Rates. COLT Vinod Raman, Unique Subedi, Ananth Raman, Ambuj Tewari
2024	A	`conf`	Conformal Contextual Robust Optimization. AISTATS Yash P. Patel, Sahana Rayan, Ambuj Tewari
2024	J	`jnl`	Conformal Robust Control of Linear Systems. CoRR Yash P. Patel, Sahana Rayan, Ambuj Tewari
2024	J	`jnl`	Contextual Bandits with Arm Request Costs and Delays. CoRR Lai Wei, Ambuj Tewari, Michael A. Cianfrocco
2024	J	`jnl`	Error Bounds for Learning Fourier Linear Operators. CoRR Unique Subedi, Ambuj Tewari
2024	J	`jnl`	Generation through the lens of learning theory. CoRR Vinod Raman, Ambuj Tewari
2024	J	`jnl`	Joint learning of linear time-invariant dynamical systems. Autom. Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2024	J	`jnl`	Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span. CoRR Woojin Chae, Kihyuk Hong, Yufan Zhang, Ambuj Tewari, Dabeen Lee
2024	J	`jnl`	Leveraging Offline Data in Linear Latent Bandits. CoRR Chinmaya Kausik, Kevin Tan, Ambuj Tewari
2024	B	`conf`	Multiclass Online Learnability under Bandit Feedback. ALT Ananth Raman, Vinod Raman, Unique Subedi, Idan Mehalel, Ambuj Tewari
2024	J	`jnl`	Near Optimal Pure Exploration in Logistic Bandits. CoRR Eduardo Ochoa Rivera, Ambuj Tewari
2024	A	`conf`	Offline Policy Evaluation and Optimization Under Confounding. AISTATS Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari
2024	J	`jnl`	On the Benefits of Active Data Collection in Operator Learning. CoRR Unique Subedi, Ambuj Tewari
2024	A*	`conf`	On the Computational Complexity of Private High-dimensional Model Selection. NeurIPS Saptarshi Roy, Zehua Wang, Ambuj Tewari
2024	A*	`conf`	Online Classification with Predictions. NeurIPS Vinod Raman, Ambuj Tewari
2024	J	`jnl`	Online Classification with Predictions. CoRR Vinod Raman, Ambuj Tewari
2024	B	`conf`	Online Infinite-Dimensional Regression: Learning Linear Operators. ALT Unique Subedi, Vinod Raman, Ambuj Tewari
2024	A*	`conf`	Online Learning with Set-valued Feedback. COLT Vinod Raman, Unique Subedi, Ambuj Tewari
2024	J	`jnl`	Optimal Thresholding Linear Bandit. CoRR Eduardo Ochoa Rivera, Ambuj Tewari
2024	J	`jnl`	Provably Efficient Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs. CoRR Kihyuk Hong, Yufan Zhang, Ambuj Tewari
2024	A*	`conf`	Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. ICLR Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
2024	J	`jnl`	Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. CoRR Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
2024	A	`conf`	Sequence Length Independent Norm-Based Generalization Bounds for Transformers. AISTATS Jacob Trauger, Ambuj Tewari
2024	A*	`conf`	Smoothed Online Classification can be Harder than Batch Classification. NeurIPS Vinod Raman, Unique Subedi, Ambuj Tewari
2024	J	`jnl`	Smoothed Online Classification can be Harder than Batch Classification. CoRR Vinod Raman, Unique Subedi, Ambuj Tewari
2024	J	`jnl`	The Complexity of Sequential Prediction in Dynamical Systems. CoRR Vinod Raman, Unique Subedi, Ambuj Tewari
2024	A*	`conf`	Variational Inference with Coverage Guarantees in Simulation-Based Inference. ICML Yash P. Patel, Declan McNamara, Jackson Loper, Jeffrey Regier, Ambuj Tewari
2023	J	`jnl`	A Characterization of Multilabel Learnability. CoRR Vinod Raman, Unique Subedi, Ambuj Tewari
2023	J	`jnl`	A Characterization of Online Multiclass Learnability. CoRR Vinod Raman, Unique Subedi, Ambuj Tewari
2023	J	`jnl`	A Combinatorial Characterization of Online Learning Games with Bounded Losses. CoRR Vinod Raman, Unique Subedi, Ambuj Tewari
2023	J	`jnl`	A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning. CoRR Kihyuk Hong, Yuhang Li, Ambuj Tewari
2023	J	`jnl`	An Asymptotically Optimal Algorithm for the One-Dimensional Convex Hull Feasibility Problem. CoRR Gang Qiao, Ambuj Tewari
2023	A	`conf`	An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge. AISTATS Kihyuk Hong, Yuhang Li, Ambuj Tewari
2023	J	`jnl`	Conformal Contextual Robust Optimization. CoRR Yash P. Patel, Sahana Rayan, Ambuj Tewari
2023	J	`jnl`	Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial. npj Digit. Medicine Jitao Wang, Yu Fang, Elena Frank, Maureen A. Walton, Margit Burmeister, Ambuj Tewari, Walter H. Dempsey, Timothy NeCamp, Srijan Sen, Zhenke Wu
2023	J	`jnl`	Generalization Bounds in the Predict-Then-Optimize Framework. Math. Oper. Res. Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari
2023	A*	`conf`	Learning Mixtures of Markov Chains and MDPs. ICML Chinmaya Kausik, Kevin Tan, Ambuj Tewari
2023	A	`conf`	Learning in online MDPs: is there a price for handling the communicating case? UAI Gautam Chandrasekaran, Ambuj Tewari
2023	J	`jnl`	Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit. J. Chem. Inf. Model. Eunjae Shim, Ambuj Tewari, Tim Cernak, Paul M. Zimmerman
2023	J	`jnl`	Multiclass Online Learnability under Bandit Feedback. CoRR Ananth Raman, Vinod Raman, Unique Subedi, Ambuj Tewari
2023	A*	`conf`	Multiclass Online Learning and Uniform Convergence. COLT Steve Hanneke, Shay Moran, Vinod Raman, Unique Subedi, Ambuj Tewari
2023	A*	`conf`	On Proper Learnability between Average- and Worst-case Robustness. NeurIPS Vinod Raman, Unique Subedi, Ambuj Tewari
2023	J	`jnl`	On the Computational Complexity of Private High-dimensional Model Selection via the Exponential Mechanism. CoRR Saptarshi Roy, Ambuj Tewari
2023	A*	`conf`	On the Learnability of Multilabel Ranking. NeurIPS Vinod Raman, Unique Subedi, Ambuj Tewari
2023	J	`jnl`	On the Learnability of Multilabel Ranking. CoRR Vinod Raman, Unique Subedi, Ambuj Tewari
2023	J	`jnl`	On the Minimax Regret in Online Ranking with Top-k Feedback. CoRR Mingyuan Zhang, Ambuj Tewari
2023	J	`jnl`	Online Infinite-Dimensional Regression: Learning Linear Operators. CoRR Vinod Raman, Unique Subedi, Ambuj Tewari
2023	J	`jnl`	Online Learning with Set-Valued Feedback. CoRR Vinod Raman, Unique Subedi, Ambuj Tewari
2023	J	`jnl`	Quantum Learning Theory Beyond Batch Binary Classification. CoRR Preetham Mohan, Ambuj Tewari
2023	J	`jnl`	Revisiting the Learnability of Apple Tasting. CoRR Vinod Raman, Unique Subedi, Ananth Raman, Ambuj Tewari
2023	J	`jnl`	Sequence Length Independent Norm-Based Generalization Bounds for Transformers. CoRR Jacob Trauger, Ambuj Tewari
2023	A*	`conf`	Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits. ICML Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari
2023	J	`jnl`	Variational Inference with Coverage Guarantees. CoRR Yash P. Patel, Declan McNamara, Jackson Loper, Jeffrey Regier, Ambuj Tewari
2022	J	`jnl`	Achieving Representative Data via Convex Hull Feasibility Sampling Algorithms. CoRR Laura Niss, Yuekai Sun, Ambuj Tewari
2022	J	`jnl`	Adaptive Learning for Discovery. CoRR Ziping Xu, Eunjae Shim, Ambuj Tewari, Paul M. Zimmerman
2022	A*	`conf`	Adaptive Sampling for Discovery. NeurIPS Ziping Xu, Eunjae Shim, Ambuj Tewari, Paul M. Zimmerman
2022	J	`jnl`	An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge. CoRR Kihyuk Hong, Yuhang Li, Ambuj Tewari
2022	A	`conf`	Balancing adaptability and non-exploitability in repeated games. UAI Anthony DiGiovanni, Ambuj Tewari
2022	J	`jnl`	Conformer-RL: A deep reinforcement learning library for conformer generation. J. Comput. Chem. Runxuan Jiang, Tarun Gogineni, Joshua Kammeraad, Yifei He, Ambuj Tewari, Paul M. Zimmerman
2022	—	`conf`	Efficient Reinforcement Learning with Prior Causal Knowledge. CLeaR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2022	J	`jnl`	Learning Mixtures of Markov Chains and MDPs. CoRR Chinmaya Kausik, Kevin Tan, Ambuj Tewari
2022	J	`jnl`	Offline Policy Evaluation and Optimization under Confounding. CoRR Kevin Tan, Yangyi Lu, Chinmaya Kausik, Yixin Wang, Ambuj Tewari
2022	A*	`conf`	On the Statistical Benefits of Curriculum Learning. ICML Ziping Xu, Ambuj Tewari
2022	A*	`conf`	Online Agnostic Multiclass Boosting. NeurIPS Vinod Raman, Ambuj Tewari
2022	J	`jnl`	Online Agnostic Multiclass Boosting. CoRR Vinod Raman, Ambuj Tewari
2022	J	`jnl`	Probabilistically Robust PAC Learning. CoRR Vinod Raman, Unique Subedi, Ambuj Tewari
2022	J	`jnl`	Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits. CoRR Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari
2022	A	`conf`	Weighted Gaussian Process Bandits for Non-stationary Environments. AISTATS Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff
2021	J	`jnl`	Balancing Adaptability and Non-exploitability in Repeated Games. CoRR Anthony DiGiovanni, Ambuj Tewari
2021	J	`jnl`	Bandit Algorithms for Precision Medicine. CoRR Yangyi Lu, Ziping Xu, Ambuj Tewari
2021	A*	`conf`	Causal Bandits with Unknown Graph Structure. NeurIPS Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2021	J	`jnl`	Causal Bandits with Unknown Graph Structure. CoRR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2021	J	`jnl`	Causal Markov Decision Processes: Learning Good Interventions Efficiently. CoRR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2021	A	`conf`	Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns. AISTATS Ziping Xu, Amirhossein Meisami, Ambuj Tewari
2021	J	`jnl`	Joint Learning of Linear Time-Invariant Dynamical Systems. CoRR Aditya Modi, Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2021	A	`conf`	Low-Rank Generalized Linear Bandit Problems. AISTATS Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2021	J	`jnl`	On the Statistical Benefits of Curriculum Learning. CoRR Ziping Xu, Ambuj Tewari
2021	J	`jnl`	Online Learning in Adversarial MDPs: Is the Communicating Case Harder than Ergodic? CoRR Gautam Chandrasekaran, Ambuj Tewari
2021	J	`jnl`	Optimism-Based Adaptive Regulation of Linear-Quadratic Systems. IEEE Trans. Autom. Control. Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2021	A*	`conf`	Representation Learning Beyond Linear Prediction Functions. NeurIPS Ziping Xu, Ambuj Tewari
2021	J	`jnl`	Representation Learning Beyond Linear Prediction Functions. CoRR Ziping Xu, Ambuj Tewari
2021	A	`conf`	Thompson sampling for Markov games with piecewise stationary opponent policies. UAI Anthony DiGiovanni, Ambuj Tewari
2021	J	`jnl`	Weighted Gaussian Process Bandits for Non-stationary Environments. CoRR Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness B. Shroff
2020	J	`jnl`	Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns. CoRR Ziping Xu, Amir Meisami, Ambuj Tewari
2020	J	`jnl`	Federated Learning via Synthetic Data. CoRR Jack Goetz, Ambuj Tewari
2020	J	`jnl`	Input perturbations for adaptive control and learning. Autom. Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2020	J	`jnl`	Low-Rank Generalized Linear Bandit Problems. CoRR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari
2020	J	`jnl`	Near-optimal Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms for the Non-episodic Setting. CoRR Ziping Xu, Ambuj Tewari
2020	A	`conf`	No-regret Exploration in Contextual Reinforcement Learning. UAI Aditya Modi, Ambuj Tewari
2020	J	`jnl`	On Learnability under General Stochastic Processes. CoRR A. Philip Dawid, Ambuj Tewari
2020	J	`jnl`	On adaptive Linear-Quadratic regulators. Autom. Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2020	A*	`conf`	On the Equivalence between Online and Private Learnability beyond Binary Classification. NeurIPS Young Hun Jung, Baekjin Kim, Ambuj Tewari
2020	J	`jnl`	On the Equivalence between Online and Private Learnability beyond Binary Classification. CoRR Young Hun Jung, Baekjin Kim, Ambuj Tewari
2020	A	`conf`	Randomized Exploration for Non-Stationary Stochastic Linear Bandits. UAI Baekjin Kim, Ambuj Tewari
2020	A	`conf`	Regret Analysis of Bandit Problems with Causal Background Knowledge. UAI Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, William Yan
2020	A*	`conf`	Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting. NeurIPS Ziping Xu, Ambuj Tewari
2020	A	`conf`	Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. AISTATS Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh
2020	A*	`conf`	TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search. NeurIPS Tarun Gogineni, Ziping Xu, Exequiel Punzalan, Runxuan Jiang, Joshua Kammeraad, Ambuj Tewari, Paul M. Zimmerman
2020	J	`jnl`	TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search. CoRR Tarun Gogineni, Ziping Xu, Exequiel Punzalan, Runxuan Jiang, Joshua Kammeraad, Ambuj Tewari, Paul M. Zimmerman
2020	J	`jnl`	What Does the Machine Learn? Knowledge Representations of Chemical Reactivity. J. Chem. Inf. Model. Joshua Kammeraad, Jack Goetz, Eric Walker, Ambuj Tewari, Paul M. Zimmerman
2020	A	`conf`	What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination. UAI Laura Niss, Ambuj Tewari
2019	J	`jnl`	Contextual Markov Decision Processes using Generalized Linear Models. CoRR Aditya Modi, Ambuj Tewari
2019	J	`jnl`	Finite-Time Adaptive Stabilization of Linear Systems. IEEE Trans. Autom. Control. Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2019	A*	`conf`	Generalization Bounds in the Predict-then-Optimize Framework. NeurIPS Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari
2019	J	`jnl`	Generalization Bounds in the Predict-then-Optimize Framework. CoRR Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari
2019	J	`jnl`	Learning To Predict Reaction Conditions: Relationships between Solvent, Molecular Structure, and Catalyst. J. Chem. Inf. Model. Eric Walker, Joshua Kammeraad, Jonathan Goetz, Michael T. Robo, Ambuj Tewari, Paul M. Zimmerman
2019	J	`jnl`	Near-optimal Oracle-efficient Algorithms for Stationary and Non-Stationary Stochastic Linear Bandits. CoRR Baekjin Kim, Ambuj Tewari
2019	J	`jnl`	Not All are Made Equal: Consistency of Weighted Averaging Estimators Under Active Learning. CoRR Jack Goetz, Ambuj Tewari
2019	—	`conf`	On Applications of Bootstrap in Continuous Space Reinforcement Learning. CDC Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2019	J	`jnl`	On Applications of Bootstrap in Continuous Space Reinforcement Learning. CoRR Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2019	A*	`conf`	On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems. NeurIPS Baekjin Kim, Ambuj Tewari
2019	J	`jnl`	On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems. CoRR Baekjin Kim, Ambuj Tewari
2019	J	`jnl`	Online Boosting for Multilabel Ranking with Top-k Feedback. CoRR Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
2019	A*	`conf`	Online Learning via the Differential Privacy Lens. NeurIPS Jacob D. Abernethy, Young Hun Jung, Chansoo Lee, Audra McMillan, Ambuj Tewari
2019	A	`conf`	Online Multiclass Boosting with Bandit Feedback. AISTATS Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
2019	—	`conf`	Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems. DSW Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2019	J	`jnl`	Randomized Algorithms for Data-Driven Stabilization of Stochastic Linear Systems. CoRR Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2019	J	`jnl`	Regret Analysis of Causal Bandit Problems. CoRR Yangyi Lu, Amirhossein Meisami, Ambuj Tewari, Zhenyu Yan
2019	A*	`conf`	Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems. NeurIPS Young Hun Jung, Ambuj Tewari
2019	J	`jnl`	Regret Bounds for Thompson Sampling in Restless Bandit Problems. CoRR Young Hun Jung, Ambuj Tewari
2019	J	`jnl`	Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles. CoRR Aditya Modi, Nan Jiang, Ambuj Tewari, Satinder Singh
2019	J	`jnl`	Thompson Sampling in Non-Episodic Restless Bandits. CoRR Young Hun Jung, Marc Abeille, Ambuj Tewari
2019	J	`jnl`	What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-Contamination. CoRR Laura Niss, Ambuj Tewari
2018	A*	`conf`	Active Learning for Non-Parametric Regression Using Purely Random Trees. NeurIPS Jack Goetz, Ambuj Tewari, Paul M. Zimmerman
2018	A*	`conf`	But How Does It Work in Theory? Linear SVM with Random Features. NeurIPS Yitong Sun, Anna C. Gilbert, Ambuj Tewari
2018	J	`jnl`	But How Does It Work in Theory? Linear SVM with Random Features. CoRR Anna C. Gilbert, Ambuj Tewari, Yitong Sun
2018	J	`jnl`	Finite Time Adaptive Stabilization of LQ Systems. CoRR Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2018	J	`jnl`	Finite time identification in unstable linear systems. Autom. Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2018	J	`jnl`	Input Perturbations for Adaptive Regulation and Learning. CoRR Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2018	B	`conf`	Markov Decision Processes with Continuous Side Information. ALT Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari
2018	J	`jnl`	On Optimality of Adaptive Linear-Quadratic Regulators. CoRR Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2018	A	`conf`	Online Boosting Algorithms for Multi-label Ranking. AISTATS Young Hun Jung, Ambuj Tewari
2018	J	`jnl`	Online Multiclass Boosting with Bandit Feedback. CoRR Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
2018	J	`jnl`	Random ReLU Features: Universality, Approximation, and Composition. CoRR Yitong Sun, Anna C. Gilbert, Ambuj Tewari
2018	J	`jnl`	Sampled fictitious play is Hannan consistent. Games Econ. Behav. Zifan Li, Ambuj Tewari
2017	—	`conf`	Action Centered Contextual Bandits. NIPS Kristjan H. Greenewald, Ambuj Tewari, Susan A. Murphy, Predrag V. Klasnja
2017	J	`jnl`	An Actor-Critic Contextual Bandit Algorithm for Personalized Mobile Health Interventions. CoRR Huitian Lei, Ambuj Tewari, Susan A. Murphy
2017	J	`jnl`	Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial Multi-armed Bandits. CoRR Zifan Li, Ambuj Tewari
2017	J	`jnl`	Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial Multi-armed Bandits. J. Mach. Learn. Res. Zifan Li, Ambuj Tewari
2017	J	`jnl`	Cost-Sensitive Learning with Noisy Labels. J. Mach. Learn. Res. Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari
2017	J	`jnl`	Finite Time Analysis of Optimal Adaptive Policies for Linear-Quadratic Systems. CoRR Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2017	J	`jnl`	Finite Time Identification in Unstable Linear Systems. CoRR Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2017	—	`ch.`	From Ads to Interventions: Contextual Bandits in Mobile Health. Mobile Health - Sensors, Analytic Methods, and Applications Ambuj Tewari, Susan A. Murphy
2017	J	`jnl`	Markov Decision Processes with Continuous Side Information. CoRR Aditya Modi, Nan Jiang, Satinder Singh, Ambuj Tewari
2017	J	`jnl`	Online Boosting Algorithms for Multi-label Ranking. CoRR Young Hun Jung, Ambuj Tewari
2017	J	`jnl`	Online Learning to Rank with Top-k Feedback. J. Mach. Learn. Res. Sougata Chaudhuri, Ambuj Tewari
2017	J	`jnl`	Online Learning via Differential Privacy. CoRR Jacob D. Abernethy, Chansoo Lee, Audra McMillan, Ambuj Tewari
2017	J	`jnl`	Online Multiclass Boosting. CoRR Young Hun Jung, Ambuj Tewari
2017	—	`conf`	Online multiclass boosting. NIPS Young Hun Jung, Jack Goetz, Ambuj Tewari
2017	J	`jnl`	Optimality of Fast-Matching Algorithms for Random Networks With Applications to Structural Controllability. IEEE Trans. Control. Netw. Syst. Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2017	J	`jnl`	Partial Hard Thresholding. IEEE Trans. Inf. Theory Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon
2016	J	`jnl`	Generalization error bounds for learning to rank: Does the length of document lists matter? CoRR Ambuj Tewari, Sougata Chaudhuri
2016	A*	`conf`	Handling Class Imbalance in Link Prediction Using Learning to Rank Techniques. AAAI Bopeng Li, Sougata Chaudhuri, Ambuj Tewari
2016	J	`jnl`	Mixture Proportion Estimation via Kernel Embedding of Distributions. CoRR Harish G. Ramaswamy, Clayton Scott, Ambuj Tewari
2016	A*	`conf`	Mixture Proportion Estimation via Kernel Embeddings of Distributions. ICML Harish G. Ramaswamy, Clayton Scott, Ambuj Tewari
2016	A*	`conf`	On Structural Properties of MDPs that Bound Loss Due to Shallow Planning. IJCAI Nan Jiang, Satinder Singh, Ambuj Tewari
2016	A	`conf`	Online Learning to Rank with Feedback at the Top. AISTATS Sougata Chaudhuri, Ambuj Tewari
2016	J	`jnl`	Online Learning to Rank with Feedback at the Top. CoRR Sougata Chaudhuri, Ambuj Tewari
2016	J	`jnl`	Online Learning to Rank with Top-k Feedback. CoRR Sougata Chaudhuri, Ambuj Tewari
2016	—	`conf`	Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games. NIPS Sougata Chaudhuri, Ambuj Tewari
2016	J	`jnl`	Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games. CoRR Sougata Chaudhuri, Ambuj Tewari
2016	J	`jnl`	Regularized Estimation in High Dimensional Time Series under Mixing Conditions. CoRR Kam Chung Wong, Ambuj Tewari, Zifan Li
2016	J	`jnl`	Sampled Fictitious Play is Hannan Consistent. CoRR Zifan Li, Ambuj Tewari
2015	—	`conf`	Alternating Minimization for Regression Problems with Vector-valued Outputs. NIPS Prateek Jain, Ambuj Tewari
2015	J	`jnl`	Consistent Algorithms for Multiclass Classification with a Reject Option. CoRR Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal
2015	A*	`conf`	Convex Calibrated Surrogates for Hierarchical Classification. ICML Harish G. Ramaswamy, Ambuj Tewari, Shivani Agarwal
2015	—	`conf`	Fighting Bandits with a New Kind of Smoothness. NIPS Jacob D. Abernethy, Chansoo Lee, Ambuj Tewari
2015	J	`jnl`	Fighting Bandits with a New Kind of Smoothness. CoRR Jacob D. Abernethy, Chansoo Lee, Ambuj Tewari
2015	A*	`conf`	Generalization error bounds for learning to rank: Does the length of document lists matter? ICML Ambuj Tewari, Sougata Chaudhuri
2015	A	`conf`	Online Ranking with Top-1 Feedback. AISTATS Sougata Chaudhuri, Ambuj Tewari
2015	J	`jnl`	Online learning via sequential complexities. J. Mach. Learn. Res. Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
2015	J	`jnl`	Optimality of Fast Matching Algorithms for Random Networks with Applications to Structural Controllability. CoRR Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis
2015	J	`jnl`	Perceptron like Algorithms for Online Learning to Rank. CoRR Sougata Chaudhuri, Ambuj Tewari
2015	—	`conf`	Predtron: A Family of Online Algorithms for General Prediction Problems. NIPS Prateek Jain, Nagarajan Natarajan, Ambuj Tewari
2014	—	`conf`	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation. NIPS Prateek Jain, Ambuj Tewari, Purushottam Kar
2014	J	`jnl`	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation. CoRR Prateek Jain, Ambuj Tewari, Purushottam Kar
2014	A*	`conf`	Online Linear Optimization via Smoothing. COLT Jacob D. Abernethy, Chansoo Lee, Abhinav Sinha, Ambuj Tewari
2014	J	`jnl`	Online Linear Optimization via Smoothing. CoRR Jacob D. Abernethy, Chansoo Lee, Abhinav Sinha, Ambuj Tewari
2014	J	`jnl`	Online Ranking with Top-1 Feedback. CoRR Sougata Chaudhuri, Ambuj Tewari
2014	J	`jnl`	Perceptron-like Algorithms and Generalization Bounds for Learning to Rank. CoRR Sougata Chaudhuri, Ambuj Tewari
2014	J	`jnl`	Prediction and clustering in signed networks: a local to global perspective. J. Mach. Learn. Res. Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon, Ambuj Tewari
2013	—	`conf`	Convex Calibrated Surrogates for Low-Rank Loss Matrices with Applications to Subset Ranking Losses. NIPS Harish G. Ramaswamy, Shivani Agarwal, Ambuj Tewari
2013	—	`conf`	Learning with Noisy Labels. NIPS Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari
2013	A*	`conf`	On Robust Estimation of High Dimensional Generalized Linear Models. IJCAI Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
2013	J	`jnl`	On the Nonasymptotic Convergence of Cyclic Coordinate Descent Methods. SIAM J. Optim. Ankan Saha, Ambuj Tewari
2013	J	`jnl`	Prediction and Clustering in Signed Networks: A Local to Global Perspective CoRR Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon
2012	J	`jnl`	Deterministic MDPs with Adversarial Rewards and Bandit Feedback CoRR Raman Arora, Ofer Dekel, Ambuj Tewari
2012	A	`conf`	Deterministic MDPs with Adversarial Rewards and Bandit Feedback. UAI Raman Arora, Ofer Dekel, Ambuj Tewari
2012	J	`jnl`	Feature Clustering for Accelerating Parallel Coordinate Descent CoRR Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David J. Haglin
2012	—	`conf`	Feature Clustering for Accelerating Parallel Coordinate Descent. NIPS Chad Scherrer, Ambuj Tewari, Mahantesh Halappanavar, David Haglin
2012	A*	`conf`	Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret. ICML Ofer Dekel, Ambuj Tewari, Raman Arora
2012	A*	`conf`	PAC Subset Selection in Stochastic Multi-armed Bandits. ICML Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, Peter Stone
2012	A*	`conf`	Parallelizing ListNet training using spark. SIGIR Shilpa Shukla, Matthew Lease, Ambuj Tewari
2012	A	`conf`	Perturbation based Large Margin Approach for Ranking. AISTATS Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
2012	J	`jnl`	REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs CoRR Peter L. Bartlett, Ambuj Tewari
2012	J	`jnl`	Regularization Techniques for Learning with Matrices. J. Mach. Learn. Res. Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari
2012	A*	`conf`	Scaling Up Coordinate Descent Algorithms for Large ICML Chad Scherrer, Mahantesh Halappanavar, Ambuj Tewari, David Haglin
2012	J	`jnl`	The Interplay Between Stability and Regret in Online Learning CoRR Ankan Saha, Prateek Jain, Ambuj Tewari
2011	A*	`conf`	Complexity-Based Approach to Calibration with Checking Rules. COLT Dean P. Foster, Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
2011	A	`conf`	Exploiting longer cycles for link prediction in signed networks. CIKM Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon
2011	—	`conf`	Greedy Algorithms for Structurally Constrained High Dimensional Problems. NIPS Ambuj Tewari, Pradeep Ravikumar, Inderjit S. Dhillon
2011	A	`conf`	Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback. AISTATS Ankan Saha, Ambuj Tewari
2011	—	`conf`	Nearest Neighbor based Greedy Coordinate Descent. NIPS Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari
2011	A	`conf`	On NDCG Consistency of Listwise Ranking Methods. AISTATS Pradeep Ravikumar, Ambuj Tewari, Eunho Yang
2011	J	`jnl`	On the Universality of Online Mirror Descent CoRR Nathan Srebro, Karthik Sridharan, Ambuj Tewari
2011	—	`conf`	On the Universality of Online Mirror Descent. NIPS Nati Srebro, Karthik Sridharan, Ambuj Tewari
2011	A*	`conf`	Online Learning: Beyond Regret. COLT Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
2011	J	`jnl`	Online Learning: Stochastic and Constrained Adversaries CoRR Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
2011	—	`conf`	Online Learning: Stochastic, Constrained, and Smoothed Adversaries. NIPS Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
2011	J	`jnl`	Orthogonal Matching Pursuit with Replacement CoRR Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon
2011	—	`conf`	Orthogonal Matching Pursuit with Replacement. NIPS Prateek Jain, Ambuj Tewari, Inderjit S. Dhillon
2011	J	`jnl`	Stochastic Methods for J. Mach. Learn. Res. Shai Shalev-Shwartz, Ambuj Tewari
2010	A*	`conf`	Composite Objective Mirror Descent. COLT John C. Duchi, Shai Shalev-Shwartz, Yoram Singer, Ambuj Tewari
2010	A*	`conf`	Convex Games in Banach Spaces. COLT Karthik Sridharan, Ambuj Tewari
2010	A	`conf`	Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity. AISTATS Sham M. Kakade, Ohad Shamir, Karthik Sindharan, Ambuj Tewari
2010	J	`jnl`	On the Finite Time Convergence of Cyclic Coordinate Descent Methods CoRR Ankan Saha, Ambuj Tewari
2010	J	`jnl`	Online Learning: Beyond Regret CoRR Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
2010	J	`jnl`	Online Learning: Random Averages, Combinatorial Parameters, and Learnability CoRR Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
2010	—	`conf`	Online Learning: Random Averages, Combinatorial Parameters, and Learnability. NIPS Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
2010	—	`conf`	Smoothness, Low Noise and Fast Rates. NIPS Nathan Srebro, Karthik Sridharan, Ambuj Tewari
2010	J	`jnl`	Smoothness, Low-Noise and Fast Rates CoRR Nathan Srebro, Karthik Sridharan, Ambuj Tewari
2009	J	`jnl`	Applications of strong convexity--strong smoothness duality to learning with matrices CoRR Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari
2009	J	`jnl`	Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity CoRR Sham M. Kakade, Ohad Shamir, Karthik Sridharan, Ambuj Tewari
2009	A	`conf`	REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPs. UAI Peter L. Bartlett, Ambuj Tewari
2009	A*	`conf`	Stochastic methods for ICML Shai Shalev-Shwartz, Ambuj Tewari
2008	A*	`conf`	Efficient bandit algorithms for online multiclass prediction. ICML Sham M. Kakade, Shai Shalev-Shwartz, Ambuj Tewari
2008	A*	`conf`	High-Probability Regret Bounds for Bandit Online Linear Optimization. COLT Peter L. Bartlett, Varsha Dani, Thomas P. Hayes, Sham M. Kakade, Alexander Rakhlin, Ambuj Tewari
2008	—	`conf`	On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization. NIPS Sham M. Kakade, Karthik Sridharan, Ambuj Tewari
2008	—	`conf`	On the Generalization Ability of Online Strongly Convex Programming Algorithms. NIPS Sham M. Kakade, Ambuj Tewari
2008	A*	`conf`	Optimal Stragies and Minimax Lower Bounds for Online Convex Games. COLT Jacob D. Abernethy, Peter L. Bartlett, Alexander Rakhlin, Ambuj Tewari
2007	A*	`conf`	Bounded Parameter Markov Decision Processes with Average Reward Criterion. COLT Ambuj Tewari, Peter L. Bartlett
2007	J	`jnl`	On the Consistency of Multiclass Classification Methods. J. Mach. Learn. Res. Ambuj Tewari, Peter L. Bartlett
2007	—	`conf`	Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs. NIPS Ambuj Tewari, Peter L. Bartlett
2007	J	`jnl`	Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results. J. Mach. Learn. Res. Peter L. Bartlett, Ambuj Tewari
2006	—	`conf`	Sample Complexity of Policy Search with Known Dynamics. NIPS Peter L. Bartlett, Ambuj Tewari
2005	A*	`conf`	On the Consistency of Multiclass Classification Methods. COLT Ambuj Tewari, Peter L. Bartlett
2004	A*	`conf`	Sparseness Versus Estimating Conditional Probabilities: Some Asymptotic Results. COLT Peter L. Bartlett, Ambuj Tewari
2002	Misc	`conf`	A Parallel DFA Minimization Algorithm. HiPC Ambuj Tewari, Utkarsh Srivastava, P. Gupta