Maryam Fazel

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 80

Top Venues

CoRR

CDC

NeurIPS

AAAI

Publications

Avinandan Bose, Simon Shaolei Du, Maryam Fazel
Offline Multi-task Transfer RL with Representational Penalization. CoRR (2024)
Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel
Emergent specialization from participation dynamics and multi-learner retraining. AISTATS (2024)
Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. ICLR (2024)
Reilly Raab, Ross Boczar, Maryam Fazel, Yang Liu
Fair Participation via Sequential Policies. AAAI (2024)
Qiwen Cui, Maryam Fazel, Simon S. Du
Learning Optimal Tax Design in Nonatomic Congestion Games. CoRR (2024)
Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin G. Jamieson
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. AISTATS (2024)
Weihang Xu, Maryam Fazel, Simon S. Du
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models. CoRR (2024)
Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement. ICLR (2023)
Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin G. Jamieson
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. CoRR (2023)
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. J. Mach. Learn. Res. 24 (2023)
Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. CoRR (2023)
Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
Stochastic Contextual Bandits with Long Horizon Rewards. CoRR (2023)
Omid Sadeghi, Maryam Fazel
No-Regret Online Prediction with Strategic Experts. CoRR (2023)
Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. L4DC (2023)
Omid Sadeghi, Maryam Fazel
No-Regret Online Prediction with Strategic Experts. NeurIPS (2023)
Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. Annu. Rev. Control. Robotics Auton. Syst. 6 (2023)
Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
Stochastic Contextual Bandits with Long Horizon Rewards. AAAI (2023)
Maryam Fazel, Omid Sadeghi
Fast First-Order Methods for Monotone Strongly DR-Submodular Maximization. ACDA (2023)
Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
Initializing Services in Interactive ML Systems for Diverse Users. CoRR (2023)
Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes. NeurIPS (2022)
Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. CoRR (2022)
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
Learning in Stochastic Monotone Games with Decision-Dependent Data. AISTATS (2022)
Maryam Fazel, Yin Tat Lee, Swati Padmanabhan, Aaron Sidford
Computing Lewis Weights to High Precision. SODA (2022)
Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. CoRR (2022)
Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
Offline congestion games: How feedback type affects data coverage requirement. CoRR (2022)
Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
Towards Sample-efficient Overparameterized Meta-learning. CoRR (2022)
Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
Learning in Congestion Games with Bandit Feedback. CoRR (2022)
Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
Learning in Congestion Games with Bandit Feedback. NeurIPS (2022)
Sarah Dean, Mihaela Curmei, Lillian J. Ratliff, Jamie Morgenstern, Maryam Fazel
Multi-learner risk reduction under endogenous participation dynamics. CoRR (2022)
Yang Zheng, Yue Sun, Maryam Fazel, Na Li
Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CoRR (2022)
Adhyyan Narang, Evan Faulkner, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
Multiplayer Performative Prediction: Learning in Decision-Dependent Games. CoRR (2022)
Mitas Ray, Lillian J. Ratliff, Dmitriy Drusvyatskiy, Maryam Fazel
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments. AAAI (2022)
Mitas Ray, Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments. CoRR (2022)
Yang Zheng, Yue Sun, Maryam Fazel, Na Li
Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. CDC (2022)
Vincent Roulet, Siddhartha S. Srinivasa, Maryam Fazel, Zaïd Harchaoui
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates. CoRR (2022)
Lijun Ding, Dmitriy Drusvyatskiy, Maryam Fazel
Flat minima generalize for low-rank matrix recovery. CoRR (2022)
Yue Sun, Samet Oymak, Maryam Fazel
System Identification via Nuclear Norm Regularization. CoRR (2022)
Dmitriy Drusvyatskiy, Maryam Fazel, Lillian J. Ratliff
. CDC (2022)
Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes
Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity. CoRR (2022)
Maryam Fazel, Yin Tat Lee, Swati Padmanabhan, Aaron Sidford
Computing Lewis Weights to High Precision. CoRR (2021)
Yue Sun, Maryam Fazel
Learning Optimal Controllers by Policy Gradient: Global Optimality via Convex Parameterization. CDC (2021)
Omid Sadeghi, Maryam Fazel
Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints. AISTATS (2021)
Omid Sadeghi, Prasanna Sanjay Raut, Maryam Fazel
Improved Regret Bounds for Online Submodular Maximization. CoRR (2021)
Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel
Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation. AAAI (2021)
Omid Sadeghi, Maryam Fazel
Faster First-Order Algorithms for Monotone Strongly DR-Submodular Maximization. CoRR (2021)
Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin G. Jamieson
Selective Sampling for Online Best-arm Identification. NeurIPS (2021)
Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel
Sample Efficient Subspace-Based Representations for Nonlinear Meta-Learning. ICASSP (2021)
Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
Towards Sample-efficient Overparameterized Meta-learning. NeurIPS (2021)
Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel
Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning. CoRR (2021)
Romain Camilleri, Zhihan Xiong, Maryam Fazel, Lalit Jain, Kevin Jamieson
Selective Sampling for Online Best-arm Identification. CoRR (2021)
Yue Sun, Samet Oymak, Maryam Fazel
Finite Sample System Identification: Optimal Rates and the Role of Regularization. L4DC (2020)
Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel
Online DR-Submodular Maximization with Stochastic Cumulative Constraints. CoRR (2020)
Vincent Roulet, Maryam Fazel, Siddhartha S. Srinivasa, Zaïd Harchaoui
On the Convergence of the Iterative Linear Exponential Quadratic Gaussian Algorithm to Stationary Points. ACC (2020)
Mitas Ray, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel
Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs. CoRR (2020)
Omid Sadeghi, Maryam Fazel
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints. AISTATS (2020)
Omid Sadeghi, Prasanna Sanjay Raut, Maryam Fazel
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints. NeurIPS (2020)
Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia
Fair Packing and Covering on a Relative Scale. SIAM J. Optim. 30 (4) (2020)
Yue Sun, Nicolas Flammarion, Maryam Fazel
Escaping from saddle points on Riemannian manifolds. NeurIPS (2019)
Omid Sadeghi, Reza Eghbali, Maryam Fazel
Competitive Algorithms for Online Budget-Constrained Continuous DR-Submodular Problems. CoRR (2019)
Yue Sun, Nicolas Flammarion, Maryam Fazel
Escaping from saddle points on Riemannian manifolds. CoRR (2019)
Omid Sadeghi, Maryam Fazel
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints. CoRR (2019)
Jingjing Bu, Afshin Mesbahi, Maryam Fazel, Mehran Mesbahi
LQR through the Lens of First Order Methods: Discrete-time Case. CoRR (2019)
Amin Jalali, Adel Javanmard, Maryam Fazel
New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation. CoRR (2019)
Dmitriy Drusvyatskiy, Maryam Fazel, Scott Roy
An Optimal First Order Method Based on Optimal Quadratic Averaging. SIAM J. Optim. 28 (1) (2018)
Jingjing Bu, Maryam Fazel, Mehran Mesbahi
Accelerated Consensus with Linear Rate of Convergence. ACC (2018)
Maryam Fazel, Rong Ge, Sham M. Kakade, Mehran Mesbahi
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator. ICML (2018)
Reza Eghbali, James Saunderson, Maryam Fazel
Competitive online algorithms for resource allocation over the positive semidefinite cone. Math. Program. 170 (1) (2018)
Reza Eghbali, James Saunderson, Maryam Fazel
Competitive Online Algorithms for Resource Allocation over the Positive Semidefinite Cone. CoRR (2018)
Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia
Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms. CoRR (2018)
Maryam Fazel, Rong Ge, Sham M. Kakade, Mehran Mesbahi
Global Convergence of Policy Gradient Methods for Linearized Control Problems. CoRR (2018)
Reza Eghbali, Maryam Fazel
Decomposable norm minimization with proximal-gradient homotopy algorithm. Comput. Optim. Appl. 66 (2) (2017)
Amin Jalali, Maryam Fazel, Lin Xiao
Variational Gram Functions: Convex Analysis and Optimization. SIAM J. Optim. 27 (4) (2017)
Amin Jalali, James Saunderson, Maryam Fazel, Babak Hassibi
Error bounds for Bregman denoising and structured natural parameter estimation. ISIT (2017)
Reza Eghbali, Maryam Fazel
Worst Case Competitive Analysis of Online Algorithms for Conic Optimization. CoRR (2016)
James Saunderson, Maryam Fazel, Babak Hassibi
Simple algorithms and guarantees for low rank matrix completion over F2. ISIT (2016)
Reza Eghbali, Maryam Fazel, Mehran Mesbahi
Worst case competitive analysis for online conic optimization. CDC (2016)
Kishore Jaganathan, James Saunderson, Maryam Fazel, Yonina C. Eldar, Babak Hassibi
Phaseless super-resolution using masks. ICASSP (2016)
Reza Eghbali, Maryam Fazel
Designing smoothing functions for improved worst-case competitive ratio in online optimization. NIPS (2016)
Amin Jalali, Qiyang Han, Ioana Dumitriu, Maryam Fazel
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models. NIPS (2016)
De Meng, Maryam Fazel, Mehran Mesbahi
Online algorithms for network formation. CDC (2016)
Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel
Convex Structured Controller Design in Finite Horizon. IEEE Trans. Control. Netw. Syst. 2 (1) (2015)
Maxim Grechkin, Maryam Fazel, Daniela M. Witten, Su-In Lee
Pathway Graphical Lasso. AAAI (2015)
Brian Hutchinson, Mari Ostendorf, Maryam Fazel
A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios. IEEE ACM Trans. Audio Speech Lang. Process. 23 (3) (2015)
De Meng, Maryam Fazel, Mehran Mesbahi
Proximal Alternating Direction Method of Multipliers for distributed optimization on weighted graphs. CDC (2015)
Samet Oymak, Amin Jalali, Maryam Fazel, Yonina C. Eldar, Babak Hassibi
Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices. IEEE Trans. Inf. Theory 61 (5) (2015)
Amin Jalali, Lin Xiao, Maryam Fazel
Variational Gram Functions: Convex Analysis and Optimization. CoRR (2015)
Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee
Node-based learning of multiple Gaussian graphical models. J. Mach. Learn. Res. 15 (1) (2014)
Reza Eghbali, Jon Swenson, Maryam Fazel
Exponentiated Subgradient Algorithm for Online Optimization under the Random Permutation Model. CoRR (2014)
Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov
Convex risk averse control design. CDC (2014)
Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov
Universal Convexification via Risk-Aversion. CoRR (2014)
Krishnamurthy Dvijotham, Maryam Fazel, Emanuel Todorov
Universal Convexification via Risk-Aversion. UAI (2014)
Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela M. Witten
Learning graphical models with hubs. J. Mach. Learn. Res. 15 (1) (2014)
Maryam Fazel, Ting Kei Pong, Defeng Sun, Paul Tseng
Hankel Matrix Rank Minimization with Applications to System Identification and Realization. SIAM J. Matrix Anal. Appl. 34 (3) (2013)
Krishnamurthy Dvijotham, Evangelos A. Theodorou, Emanuel Todorov, Maryam Fazel
Convexity of optimal linear controller design. CDC (2013)
Amin Jalali, Maryam Fazel
A convex method for learning d-valued models. GlobalSIP (2013)
Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel
Convex control design via covariance minimization. Allerton (2013)
Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel
Similarity-based clustering by left-stochastic matrix factorization. J. Mach. Learn. Res. 14 (1) (2013)
Krishnamurthy Dvijotham, Emanuel Todorov, Maryam Fazel
Convex Structured Controller Design. CoRR (2013)
Karthik Mohan, Palma London, Maryam Fazel, Daniela M. Witten, Su-In Lee
Node-Based Learning of Multiple Gaussian Graphical Models CoRR (2013)
Brian Hutchinson, Mari Ostendorf, Maryam Fazel
Exceptions in language as learned by the multi-factor sparse plus low-rank language model. ICASSP (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maryam Fazel