Maryam Fazel - RankMe

174 papers A* 22A 10B 8C 9Misc 6Journal 90Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cold-Start Personalization via Training-Free Priors from Structured World Models. CoRR Avinandan Bose, Shuyue Stella Li, Faeze Brahman, Pang Wei Koh, Simon Shaolei Du, Yulia Tsvetkov, Maryam Fazel, Lin Xiao, Asli Celikyilmaz
2026	J	`jnl`	Dynamics of Learning under User Choice: Overspecialization and Peer-Model Probing. CoRR Adhyyan Narang, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
2026	J	`jnl`	On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits. CoRR Leo Maynard-Zhang, Zhihan Xiong, Kevin Jamieson, Maryam Fazel
2025	J	`jnl`	Convergence Dynamics of Over-Parameterized Score Matching for a Single Gaussian. CoRR Yiran Zhang, Weihang Xu, Mo Zhou, Maryam Fazel, Simon Shaolei Du
2025	J	`jnl`	DoomArena: A framework for Testing AI Agents Against Evolving Security Threats. CoRR Léo Boisvert, Mihir Bansal, Chandra Kiran Reddy Evuru, Gabriel Huang, Abhay Puri, Avinandan Bose, Maryam Fazel, Quentin Cappart, Jason Stanley, Alexandre Lacoste, Alexandre Drouin, Krishnamurthy Dvijotham
2025	J	`jnl`	Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics. CoRR Sunmook Choi, Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	J	`jnl`	Extragradient Preference Optimization (EGPO): Beyond Last-Iterate Convergence for Nash Learning from Human Feedback. CoRR Runlong Zhou, Maryam Fazel, Simon S. Du
2025	—	`conf`	Finite Sample Identification of Partially Observed Bilinear Dynamical Systems. L4DC Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	J	`jnl`	Finite Sample Identification of Partially Observed Bilinear Dynamical Systems. CoRR Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	A*	`ed.`	Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025 ICML Aarti Singh, Maryam Fazel, Daniel Hsu, Simon Lacoste-Julien, Felix Berkenkamp, Tegan Maharaj, Kiri Wagstaff, Jerry Zhu
2025	J	`jnl`	Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs. INFORMS J. Optim. Mitas Ray, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel
2025	J	`jnl`	Gating is Weighting: Understanding Gated Linear Attention through In-context Learning. CoRR Yingcong Li, Davoud Ataee Tarzanagh, Ankit Singh Rawat, Maryam Fazel, Samet Oymak
2025	J	`jnl`	Global Convergence of Four-Layer Matrix Factorization under Random Initialization. CoRR Minrui Luo, Weihang Xu, Xiang Gao, Maryam Fazel, Simon Shaolei Du
2025	J	`jnl`	Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixtures. CoRR Mo Zhou, Weihang Xu, Maryam Fazel, Simon S. Du
2025	J	`jnl`	Iteratively reweighted kernel machines efficiently learn sparse functions. CoRR Libin Zhu, Damek Davis, Dmitriy Drusvyatskiy, Maryam Fazel
2025	A	`conf`	Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning. AISTATS Avinandan Bose, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham
2025	J	`jnl`	Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning. CoRR Avinandan Bose, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham
2025	J	`jnl`	LoRe: Personalizing LLMs via Low-Rank Reward Modeling. CoRR Avinandan Bose, Zhihan Xiong, Yuejie Chi, Simon Shaolei Du, Lin Xiao, Maryam Fazel
2025	A	`conf`	Offline Multi-task Transfer RL with Representational Penalization. AISTATS Avinandan Bose, Simon Shaolei Du, Maryam Fazel
2025	J	`jnl`	On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control. J. Mach. Learn. Res. Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui
2025	J	`jnl`	Personalized Reasoning: Just-In-Time Personalization and Why LLMs Fail At It. CoRR Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov
2025	J	`jnl`	Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs. CoRR Shulun Chen, Runlong Zhou, Zihan Zhang, Maryam Fazel, Simon S. Du
2025	—	`conf`	Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations. CDC Yahya Sattar, Sunmook Choi, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	J	`jnl`	Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations. CoRR Yahya Sattar, Sunmook Choi, Yassir Jedra, Maryam Fazel, Sarah Dean
2025	J	`jnl`	Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO. CoRR Ruizhe Shi, Minhak Song, Runlong Zhou, Zihan Zhang, Maryam Fazel, Simon S. Du
2025	J	`jnl`	Unregularized Linear Convergence in Zero-Sum Game from Preference Feedback. CoRR Shulun Chen, Runlong Zhou, Zihan Zhang, Maryam Fazel, Simon S. Du
2024	A*	`conf`	A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. ICLR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
2024	A	`conf`	A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. AISTATS Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin Jamieson
2024	J	`jnl`	Dual Approximation Policy Optimization. CoRR Zhihan Xiong, Maryam Fazel, Lin Xiao
2024	A	`conf`	Efficient Interactive Maximization of BP and Weakly Submodular Objectives. UAI Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes
2024	A	`conf`	Emergent specialization from participation dynamics and multi-learner retraining. AISTATS Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel
2024	A*	`conf`	Fair Participation via Sequential Policies. AAAI Reilly Raab, Ross Boczar, Maryam Fazel, Yang Liu
2024	J	`jnl`	Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration. CoRR Avinandan Bose, Zhihan Xiong, Aadirupa Saha, Simon Shaolei Du, Maryam Fazel
2024	A*	`conf`	Initializing Services in Interactive ML Systems for Diverse Users. NeurIPS Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie H. Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
2024	J	`jnl`	Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates. Open J. Math. Optim. Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui
2024	A*	`conf`	Learning Optimal Tax Design in Nonatomic Congestion Games. NeurIPS Qiwen Cui, Maryam Fazel, Simon S. Du
2024	J	`jnl`	Learning Optimal Tax Design in Nonatomic Congestion Games. CoRR Qiwen Cui, Maryam Fazel, Simon S. Du
2024	J	`jnl`	Offline Multi-task Transfer RL with Representational Penalization. CoRR Avinandan Bose, Simon Shaolei Du, Maryam Fazel
2024	J	`jnl`	Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models. CoRR Weihang Xu, Maryam Fazel, Simon S. Du
2024	A*	`conf`	Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models. NeurIPS Weihang Xu, Maryam Fazel, Simon S. Du
2023	J	`jnl`	A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. CoRR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2023	J	`jnl`	A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. CoRR Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin Jamieson
2023	—	`conf`	Fast First-Order Methods for Monotone Strongly DR-Submodular Maximization. ACDA Maryam Fazel, Omid Sadeghi
2023	J	`jnl`	Initializing Services in Interactive ML Systems for Diverse Users. CoRR Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
2023	J	`jnl`	Multiplayer Performative Prediction: Learning in Decision-Dependent Games. J. Mach. Learn. Res. Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
2023	A*	`conf`	No-Regret Online Prediction with Strategic Experts. NeurIPS Omid Sadeghi, Maryam Fazel
2023	J	`jnl`	No-Regret Online Prediction with Strategic Experts. CoRR Omid Sadeghi, Maryam Fazel
2023	A*	`conf`	Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement. ICLR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
2023	—	`conf`	On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. L4DC Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
2023	A*	`conf`	Stochastic Contextual Bandits with Long Horizon Rewards. AAAI Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
2023	J	`jnl`	Stochastic Contextual Bandits with Long Horizon Rewards. CoRR Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
2023	J	`jnl`	Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. Annu. Rev. Control. Robotics Auton. Syst. Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
2022	A*	`conf`	Computing Lewis Weights to High Precision. SODA Maryam Fazel, Yin Tat Lee, Swati Padmanabhan, Aaron Sidford
2022	A*	`conf`	Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments. AAAI Mitas Ray, Lillian J. Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel
2022	J	`jnl`	Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments. CoRR Mitas Ray, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
2022	—	`conf`	Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CDC Yang Zheng, Yue Sun, Maryam Fazel, Na Li
2022	J	`jnl`	Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CoRR Yang Zheng, Yue Sun, Maryam Fazel, Na Li
2022	J	`jnl`	Flat minima generalize for low-rank matrix recovery. CoRR Lijun Ding, Dmitriy Drusvyatskiy, Maryam Fazel
2022	—	`conf`	Improved Rates for Derivative Free Gradient Play in Strongly Monotone Games CDC Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
2022	J	`jnl`	Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity. CoRR Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes
2022	J	`jnl`	Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates. CoRR Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui
2022	A*	`conf`	Learning in Congestion Games with Bandit Feedback. NeurIPS Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2022	J	`jnl`	Learning in Congestion Games with Bandit Feedback. CoRR Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2022	A	`conf`	Learning in Stochastic Monotone Games with Decision-Dependent Data. AISTATS Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
2022	J	`jnl`	Multi-learner risk reduction under endogenous participation dynamics. CoRR Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel
2022	J	`jnl`	Multiplayer Performative Prediction: Learning in Decision-Dependent Games. CoRR Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
2022	A*	`conf`	Near-Optimal Randomized Exploration for Tabular Markov Decision Processes. NeurIPS Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du
2022	J	`jnl`	Offline congestion games: How feedback type affects data coverage requirement. CoRR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2022	J	`jnl`	On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. CoRR Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
2022	J	`jnl`	System Identification via Nuclear Norm Regularization. CoRR Yue Sun, Samet Oymak, Maryam Fazel
2022	J	`jnl`	Towards Sample-efficient Overparameterized Meta-learning. CoRR Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
2022	J	`jnl`	Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. CoRR Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
2021	J	`jnl`	Computing Lewis Weights to High Precision. CoRR Maryam Fazel, Yin Tat Lee, Swati Padmanabhan, Aaron Sidford
2021	A	`conf`	Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints. AISTATS Omid Sadeghi, Maryam Fazel
2021	J	`jnl`	Faster First-Order Algorithms for Monotone Strongly DR-Submodular Maximization. CoRR Omid Sadeghi, Maryam Fazel
2021	J	`jnl`	Improved Regret Bounds for Online Submodular Maximization. CoRR Omid Sadeghi, Prasanna Sanjay Raut, Maryam Fazel
2021	—	`conf`	Learning Optimal Controllers by Policy Gradient: Global Optimality via Convex Parameterization. CDC Yue Sun, Maryam Fazel
2021	A*	`conf`	Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation. AAAI Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel
2021	Misc	`conf`	Sample Efficient Subspace-Based Representations for Nonlinear Meta-Learning. ICASSP Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel
2021	J	`jnl`	Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning. CoRR Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel
2021	A*	`conf`	Selective Sampling for Online Best-arm Identification. NeurIPS Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin Jamieson
2021	J	`jnl`	Selective Sampling for Online Best-arm Identification. CoRR Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin Jamieson
2021	A*	`conf`	Towards Sample-efficient Overparameterized Meta-learning. NeurIPS Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
2020	A*	`conf`	A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints. NeurIPS Omid Sadeghi, Prasanna Sanjay Raut, Maryam Fazel
2020	J	`jnl`	Fair Packing and Covering on a Relative Scale. SIAM J. Optim. Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia
2020	—	`conf`	Finite Sample System Identification: Optimal Rates and the Role of Regularization. L4DC Yue Sun, Samet Oymak, Maryam Fazel
2020	J	`jnl`	Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs. CoRR Mitas Ray, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel
2020	C	`conf`	On the Convergence of the Iterative Linear Exponential Quadratic Gaussian Algorithm to Stationary Points. ACC Vincent Roulet, Maryam Fazel, Siddhartha S. Srinivasa, Zaïd Harchaoui
2020	A	`conf`	Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints. AISTATS Omid Sadeghi, Maryam Fazel
2020	J	`jnl`	Online DR-Submodular Maximization with Stochastic Cumulative Constraints. CoRR Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel
2019	J	`jnl`	Competitive Algorithms for Online Budget-Constrained Continuous DR-Submodular Problems. CoRR Omid Sadeghi, Reza Eghbali, Maryam Fazel
2019	A*	`conf`	Escaping from saddle points on Riemannian manifolds. NeurIPS Yue Sun, Nicolas Flammarion, Maryam Fazel
2019	J	`jnl`	Escaping from saddle points on Riemannian manifolds. CoRR Yue Sun, Nicolas Flammarion, Maryam Fazel
2019	J	`jnl`	LQR through the Lens of First Order Methods: Discrete-time Case. CoRR Jingjing Bu, Afshin Mesbahi, Maryam Fazel, Mehran Mesbahi
2019	J	`jnl`	New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation. CoRR Amin Jalali, Adel Javanmard, Maryam Fazel
2019	J	`jnl`	Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints. CoRR Omid Sadeghi, Maryam Fazel
2018	C	`conf`	Accelerated Consensus with Linear Rate of Convergence. ACC Jingjing Bu, Maryam Fazel, Mehran Mesbahi
2018	J	`jnl`	An Optimal First Order Method Based on Optimal Quadratic Averaging. SIAM J. Optim. Dmitriy Drusvyatskiy, Maryam Fazel, Scott Roy
2018	J	`jnl`	Competitive Online Algorithms for Resource Allocation over the Positive Semidefinite Cone. CoRR Reza Eghbali, James Saunderson, Maryam Fazel
2018	J	`jnl`	Competitive online algorithms for resource allocation over the positive semidefinite cone. Math. Program. Reza Eghbali, James Saunderson, Maryam Fazel
2018	J	`jnl`	Global Convergence of Policy Gradient Methods for Linearized Control Problems. CoRR Maryam Fazel, Rong Ge, Sham M. Kakade, Mehran Mesbahi
2018	A*	`conf`	Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator. ICML Maryam Fazel, Rong Ge, Sham M. Kakade, Mehran Mesbahi
2018	J	`jnl`	Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms. CoRR Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia
2017	J	`jnl`	Decomposable norm minimization with proximal-gradient homotopy algorithm. Comput. Optim. Appl. Reza Eghbali, Maryam Fazel
2017	B	`conf`	Error bounds for Bregman denoising and structured natural parameter estimation. ISIT Amin Jalali, James Saunderson, Maryam Fazel, Babak Hassibi
2017	J	`jnl`	Variational Gram Functions: Convex Analysis and Optimization. SIAM J. Optim. Amin Jalali, Maryam Fazel, Lin Xiao
2016	—	`conf`	Designing smoothing functions for improved worst-case competitive ratio in online optimization. NIPS Reza Eghbali, Maryam Fazel
2016	—	`conf`	Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models. NIPS Amin Jalali, Qiyang Han, Ioana Dumitriu, Maryam Fazel
2016	—	`conf`	Online algorithms for network formation. CDC De Meng, Maryam Fazel, Mehran Mesbahi
2016	Misc	`conf`	Phaseless super-resolution using masks. ICASSP Kishore Jaganathan, James Saunderson, Maryam Fazel, Yonina C. Eldar, Babak Hassibi
2016	B	`conf`	Simple algorithms and guarantees for low rank matrix completion over F2. ISIT James Saunderson, Maryam Fazel, Babak Hassibi
2016	J	`jnl`	Worst Case Competitive Analysis of Online Algorithms for Conic Optimization. CoRR Reza Eghbali, Maryam Fazel
2016	—	`conf`	Worst case competitive analysis for online conic optimization. CDC Reza Eghbali, Maryam Fazel, Mehran Mesbahi
2015	J	`jnl`	A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios. IEEE ACM Trans. Audio Speech Lang. Process. Brian Hutchinson, Mari Ostendorf, Maryam Fazel
2015	J	`jnl`	Convex Structured Controller Design in Finite Horizon. IEEE Trans. Control. Netw. Syst. Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel
2015	A*	`conf`	Pathway Graphical Lasso. AAAI Maxim Grechkin, Maryam Fazel, Daniela M. Witten, Su-In Lee
2015	—	`conf`	Proximal Alternating Direction Method of Multipliers for distributed optimization on weighted graphs. CDC De Meng, Maryam Fazel, Mehran Mesbahi
2015	J	`jnl`	Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices. IEEE Trans. Inf. Theory Samet Oymak, Amin Jalali, Maryam Fazel, Yonina C. Eldar, Babak Hassibi
2015	J	`jnl`	Variational Gram Functions: Convex Analysis and Optimization. CoRR Amin Jalali, Lin Xiao, Maryam Fazel
2014	—	`conf`	Convex risk averse control design. CDC Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov
2014	J	`jnl`	Exponentiated Subgradient Algorithm for Online Optimization under the Random Permutation Model. CoRR Reza Eghbali, Jon Swenson, Maryam Fazel
2014	J	`jnl`	Learning graphical models with hubs. J. Mach. Learn. Res. Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela M. Witten
2014	J	`jnl`	Node-based learning of multiple Gaussian graphical models. J. Mach. Learn. Res. Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee
2014	A	`conf`	Universal Convexification via Risk-Aversion. UAI Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov
2014	J	`jnl`	Universal Convexification via Risk-Aversion. CoRR Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov
2013	—	`conf`	A convex method for learning d-valued models. GlobalSIP Amin Jalali, Maryam Fazel
2013	J	`jnl`	Convex Structured Controller Design. CoRR Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel
2013	—	`conf`	Convex control design via covariance minimization. Allerton Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel
2013	—	`conf`	Convexity of optimal linear controller design. CDC Krishnamurthy Dvijotham, Evangelos A. Theodorou, Emanuel Todorov, Maryam Fazel
2013	Misc	`conf`	Exceptions in language as learned by the multi-factor sparse plus low-rank language model. ICASSP Brian Hutchinson, Mari Ostendorf, Maryam Fazel
2013	J	`jnl`	Hankel Matrix Rank Minimization with Applications to System Identification and Realization. SIAM J. Matrix Anal. Appl. Maryam Fazel, Ting Kei Pong, Defeng Sun, Paul Tseng
2013	J	`jnl`	Node-Based Learning of Multiple Gaussian Graphical Models CoRR Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee
2013	—	`conf`	Noisy estimation of simultaneously structured models: Limitations of convex relaxation. CDC Samet Oymak, Amin Jalali, Maryam Fazel, Babak Hassibi
2013	J	`jnl`	Random Access Compressed Sensing over Fading and Noisy Communication Channels. IEEE Trans. Wirel. Commun. Fatemeh Fazel, Maryam Fazel, Milica Stojanovic
2013	J	`jnl`	Similarity-based clustering by left-stochastic matrix factorization. J. Mach. Learn. Res. Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel
2012	A	`conf`	A Sparse Plus Low Rank Maximum Entropy Language Model. INTERSPEECH Brian Hutchinson, Mari Ostendorf, Maryam Fazel
2012	—	`conf`	A graph realization approach to network identification. CDC Marzieh Nabi-Abdolyousefi, Maryam Fazel, Mehran Mesbahi
2012	J	`jnl`	Compressed sensing in random access networks with applications to underwater monitoring. Phys. Commun. Fatemeh Fazel, Maryam Fazel, Milica Stojanovic
2012	C	`conf`	Constrained multiple kernel tracking for human limbs. ISCAS Shian-Ru Ke, Jenq-Neng Hwang, Maryam Fazel, Shen-Zheng Wang, Hung-I Pai
2012	J	`jnl`	Iterative reweighted algorithms for matrix rank minimization. J. Mach. Learn. Res. Karthik Mohan, Maryam Fazel
2012	B	`conf`	Random access compressed sensing over fading and noisy communication channels. ISIT Fatemeh Fazel, Maryam Fazel, Milica Stojanovic
2012	Misc	`conf`	Random access sensor networks: Field reconstruction from incomplete data. ITA Fatemeh Fazel, Maryam Fazel, Milica Stojanovic
2012	J	`jnl`	Simultaneously Structured Models with Application to Sparse and Low-rank Matrices CoRR Samet Oymak, Amin Jalali, Maryam Fazel, Yonina C. Eldar, Babak Hassibi
2012	—	`conf`	Structured Learning of Gaussian Graphical Models. NIPS Karthik Mohan, Michael Jae-Yoon Chung, Seungyeop Han, Daniela M. Witten, Su-In Lee, Maryam Fazel
2011	J	`jnl`	A Simplified Approach to Recovery Conditions for Low Rank Matrices CoRR Samet Oymak, Karthik Mohan, Maryam Fazel, Babak Hassibi
2011	B	`conf`	A simplified approach to recovery conditions for low rank matrices. ISIT Samet Oymak, Karthik Mohan, Maryam Fazel, Babak Hassibi
2011	A*	`conf`	Clustering by Left-Stochastic Matrix Factorization. ICML Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel
2011	Misc	`conf`	Design of a random access network for compressed sensing. ITA Fatemeh Fazel, Maryam Fazel, Milica Stojanovic
2011	—	`conf`	Impact of fading on random access compressed sensing. ACSCC Fatemeh Fazel, Maryam Fazel, Milica Stojanovic
2011	J	`jnl`	Low Rank Language Models for Small Training Sets. IEEE Signal Process. Lett. Brian Hutchinson, Mari Ostendorf, Maryam Fazel
2011	J	`jnl`	Random Access Compressed Sensing for Energy-Efficient Underwater Sensor Networks. IEEE J. Sel. Areas Commun. Fatemeh Fazel, Maryam Fazel, Milica Stojanovic
2010	—	`conf`	A Novel Multimedia Educational Speech Therapy System for Hearing Impaired Children. PCM (2) Azam Bastanfard, Nima Attaran Rezaei, Mahyar Mottaghizadeh, Maryam Fazel
2010	Misc	`conf`	A nullspace analysis of the nuclear norm heuristic for rank minimization. ICASSP Krishnamurthy Dvijotham, Maryam Fazel
2010	J	`jnl`	Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization. SIAM Rev. Benjamin Recht, Maryam Fazel, Pablo A. Parrilo
2010	—	`conf`	Iterative reweighted least squares for matrix rank minimization. Allerton Karthik Mohan, Maryam Fazel
2010	C	`conf`	Model discrimination of chemical reaction networks by linearization. ACC Daniel Georgiev, Maryam Fazel, Eric Klavins
2010	B	`conf`	New Restricted Isometry results for noisy low-rank recovery. ISIT Karthik Mohan, Maryam Fazel
2010	—	`conf`	Random access compressed sensing in underwater sensor networks. Allerton Fatemeh Fazel, Maryam Fazel, Milica Stojanovic
2010	C	`conf`	Reweighted nuclear norm minimization with application to system identification. ACC Karthik Mohan, Maryam Fazel
2010	B	`conf`	The Persian Linguistic Based Audio-Visual Data Corpus, AVA II, Considering Coarticulation. MMM Azam Bastanfard, Maryam Fazel, Alireza Abdi Kelishami, Mohammad Aghaahmadi
2009	B	`conf`	A comprehensive audio-visual corpus for teaching sound Persian phoneme articulation. SMC Azam Bastanfard, Maryam Fazel, Alireza Abdi Kelishami, Mohammad Aghaahmadi
2009	—	`conf`	Persian Viseme Classification for Developing Visual Speech Training Application. PCM Azam Bastanfard, Mohammad Aghaahmadi, Alireza Abdi Kelishami, Maryam Fazel, Maedeh Moghadam
2008	—	`conf`	Compressed sensing and robust recovery of low rank matrices. ACSCC Maryam Fazel, Emmanuel J. Candès, Ben Recht, Pablo A. Parrilo
2007	J	`jnl`	Portfolio optimization with linear and fixed transaction costs. Ann. Oper. Res. Miguel Sousa Lobo, Maryam Fazel, Stephen P. Boyd
2006	—	`conf`	Complexity in Automation of SOS Proofs: An Illustrative Example. CDC Dennice F. Gayme, Maryam Fazel, John C. Doyle
2006	C	`conf`	Stochastic reachability analysis in complex biological networks. ACC Hana El-Samad, Maryam Fazel, Xin Liu, Antonis Papachristodoulou, Stephen Prajna
2006	B	`conf`	Transient Analysis for Wireless Power Control. GLOBECOM Maryam Fazel, Dennice Maynard Gayme, Mung Chiang
2005	J	`jnl`	Amplitude and Sign Adjustment for Peak-to-Average-Power Reduction. IEEE Trans. Commun. Masoud Sharif, Cedric Florens, Maryam Fazel, Babak Hassibi
2005	—	`conf`	Network Utility Maximization With Nonconcave Utilities Using Sum-of-Squares Method. CDC/ECC Maryam Fazel, Mung Chiang
2005	A*	`conf`	Network utility maximization with nonconcave, coupled, and reliability-based uilities. SIGMETRICS Mung Chiang, Jang-Won Lee, A. Robert Calderbank, Daniel Pérez Palomar, Maryam Fazel
2004	—	`conf`	Peak to average power reduction using amplitude and sign adjustment. ICC Masoud Sharif, Cedric Florens, Maryam Fazel, Babak Hassibi
2004	C	`conf`	Rank minimization and applications in system theory. ACC Maryam Fazel, Haitham A. Hindi, Stephen P. Boyd
2003	C	`conf`	Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices. ACC Maryam Fazel, Haitham A. Hindi, Stephen P. Boyd
2001	C	`conf`	A rank minimization heuristic with application to minimum order system approximation. ACC Maryam Fazel, Haitham A. Hindi, Stephen P. Boyd