Fazel, Maryam

46 publications

L4DC 2025 Finite Sample Identification of Partially Observed Bilinear Dynamical Systems Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean

ICLRW 2025 Hybrid Preference Optimization for Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration Avinandan Bose, Zhihan Xiong, Aadirupa Saha, Simon Shaolei Du, Maryam Fazel

AISTATS 2025 Keeping up with Dynamic Attackers: Certifying Robustness to Adaptive Online Data Poisoning Avinandan Bose, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham

AISTATS 2025 Offline Multi-Task Transfer RL with Representational Penalization Avinandan Bose, Simon Shaolei Du, Maryam Fazel

JMLR 2025 On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control Vincent Roulet, Siddhartha Srinivasa, Maryam Fazel, Zaid Harchaoui

NeurIPS 2025 Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs Shulun Chen, Runlong Zhou, Zihan Zhang, Maryam Fazel, Simon Shaolei Du

ICLR 2024 A Black-Box Approach for Non-Stationary Multi-Agent Reinforcement Learning Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du

AISTATS 2024 A/B Testing and Best-Arm Identification for Linear Bandits with Robustness to Non-Stationarity Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin Jamieson

ICMLW 2024 Certifying Robustness to Adaptive Data Poisoning Avinandan Bose, Madeleine Udell, Laurent Lessard, Maryam Fazel, Krishnamurthy Dj Dvijotham

ICMLW 2024 Dual Approximation Policy Optimization Zhihan Xiong, Maryam Fazel, Lin Xiao

UAI 2024 Efficient Interactive Maximization of BP and Weakly Submodular Objectives Adhyyan Narang, Omid Sadeghi, Lillian Ratliff, Maryam Fazel, Jeff Bilmes

AISTATS 2024 Emergent Specialization from Participation Dynamics and Multi-Learner Retraining Sarah Dean, Mihaela Curmei, Lillian Ratliff, Jamie Morgenstern, Maryam Fazel

AAAI 2024 Fair Participation via Sequential Policies Reilly Raab, Ross Boczar, Maryam Fazel, Yang Liu

NeurIPS 2024 Initializing Services in Interactive ML Systems for Diverse Users Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel

NeurIPS 2024 Learning Optimal Tax Design in Nonatomic Congestion Games Qiwen Cui, Maryam Fazel, Simon S. Du

ICMLW 2024 Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models Weihang Xu, Maryam Fazel, Simon Shaolei Du

NeurIPS 2024 Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models Weihang Xu, Maryam Fazel, Simon S. Du

NeurIPSW 2023 Accelerating Inexact HyperGradient Descent for Bilevel Optimization Haikuo Yang, Luo Luo, Chris Junchi Li, Michael Jordan, Maryam Fazel

JMLR 2023 Multiplayer Performative Prediction: Learning in Decision-Dependent Games Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff

NeurIPS 2023 No-Regret Online Prediction with Strategic Experts Omid Sadeghi, Maryam Fazel

ICLR 2023 Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du

L4DC 2023 On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li

AAAI 2023 Stochastic Contextual Bandits with Long Horizon Rewards Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak

AISTATS 2022 Learning in Stochastic Monotone Games with Decision-Dependent Data Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian Ratliff

AAAI 2022 Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments Mitas Ray, Lillian J. Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel

NeurIPS 2022 Learning in Congestion Games with Bandit Feedback Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S Du

NeurIPS 2022 Near-Optimal Randomized Exploration for Tabular Markov Decision Processes Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S Du

AISTATS 2021 Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints Omid Sadeghi, Maryam Fazel

AAAI 2021 Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel

NeurIPS 2021 Selective Sampling for Online Best-Arm Identification Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin G. Jamieson

NeurIPS 2021 Towards Sample-Efficient Overparameterized Meta-Learning Yue Sun, Adhyyan Narang, Ibrahim Gulluk, Samet Oymak, Maryam Fazel

NeurIPS 2020 A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints Omid Sadeghi, Prasanna Raut, Maryam Fazel

L4DC 2020 Finite Sample System Identification: Optimal Rates and the Role of Regularization Yue Sun, Samet Oymak, Maryam Fazel

AISTATS 2020 Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints Omid Sadeghi, Maryam Fazel

NeurIPS 2019 Escaping from Saddle Points on Riemannian Manifolds Yue Sun, Nicolas Flammarion, Maryam Fazel

ICML 2018 Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator Maryam Fazel, Rong Ge, Sham Kakade, Mehran Mesbahi

NeurIPS 2016 Designing Smoothing Functions for Improved Worst-Case Competitive Ratio in Online Optimization Reza Eghbali, Maryam Fazel

NeurIPS 2016 Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models Amin Jalali, Qiyang Han, Ioana Dumitriu, Maryam Fazel

AAAI 2015 Pathway Graphical Lasso Maxim Grechkin, Maryam Fazel, Daniela M. Witten, Su-In Lee

JMLR 2014 Learning Graphical Models with Hubs Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela Witten

JMLR 2014 Node-Based Learning of Multiple Gaussian Graphical Models Karthik Mohan, Palma London, Maryam Fazel, Daniela Witten, Su-In Lee

UAI 2014 Universal Convexification via Risk-Aversion Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov

JMLR 2013 Similarity-Based Clustering by Left-Stochastic Matrix Factorization Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel

JMLR 2012 Iterative Reweighted Algorithms for Matrix Rank Minimization Karthik Mohan, Maryam Fazel

NeurIPS 2012 Structured Learning of Gaussian Graphical Models Karthik Mohan, Mike Chung, Seungyeop Han, Daniela Witten, Su-in Lee, Maryam Fazel

ICML 2011 Clustering by Left-Stochastic Matrix Factorization Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel