Maryam Fazel

According to our database1, Maryam Fazel authored at least 119 papers between 2001 and 2024.

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Bibliography

2024
Dual Approximation Policy Optimization.
CoRR, 2024

Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models.
CoRR, 2024

Offline Multi-task Transfer RL with Representational Penalization.
CoRR, 2024

Learning Optimal Tax Design in Nonatomic Congestion Games.
CoRR, 2024

A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Emergent specialization from participation dynamics and multi-learner retraining.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Fair Participation via Sequential Policies.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies.
Annu. Rev. Control. Robotics Auton. Syst., May, 2023

Multiplayer Performative Prediction: Learning in Decision-Dependent Games.
J. Mach. Learn. Res., 2023

Initializing Services in Interactive ML Systems for Diverse Users.
CoRR, 2023

No-Regret Online Prediction with Strategic Experts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fast First-Order Methods for Monotone Strongly DR-Submodular Maximization.
Proceedings of the SIAM Conference on Applied and Computational Discrete Algorithms, 2023

Stochastic Contextual Bandits with Long Horizon Rewards.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies.
CoRR, 2022

Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates.
CoRR, 2022

Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity.
CoRR, 2022

Multi-learner risk reduction under endogenous participation dynamics.
CoRR, 2022

System Identification via Nuclear Norm Regularization.
CoRR, 2022

Flat minima generalize for low-rank matrix recovery.
CoRR, 2022

Computing Lewis Weights to High Precision.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Near-Optimal Randomized Exploration for Tabular Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning in Congestion Games with Bandit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Improved Rates for Derivative Free Gradient Play in Strongly Monotone Games<sup>∗</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Learning in Stochastic Monotone Games with Decision-Dependent Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Faster First-Order Algorithms for Monotone Strongly DR-Submodular Maximization.
CoRR, 2021

Improved Regret Bounds for Online Submodular Maximization.
CoRR, 2021

Towards Sample-efficient Overparameterized Meta-learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Selective Sampling for Online Best-arm Identification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sample Efficient Subspace-Based Representations for Nonlinear Meta-Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Learning Optimal Controllers by Policy Gradient: Global Optimality via Convex Parameterization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Fair Packing and Covering on a Relative Scale.
SIAM J. Optim., 2020

Function Design for Improved Competitive Ratio in Online Resource Allocation with Procurement Costs.
CoRR, 2020

Online DR-Submodular Maximization with Stochastic Cumulative Constraints.
CoRR, 2020

A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Finite Sample System Identification: Optimal Rates and the Role of Regularization.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

On the Convergence of the Iterative Linear Exponential Quadratic Gaussian Algorithm to Stationary Points.
Proceedings of the 2020 American Control Conference, 2020

Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
LQR through the Lens of First Order Methods: Discrete-time Case.
CoRR, 2019

Competitive Algorithms for Online Budget-Constrained Continuous DR-Submodular Problems.
CoRR, 2019

New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation.
CoRR, 2019

Escaping from saddle points on Riemannian manifolds.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
An Optimal First Order Method Based on Optimal Quadratic Averaging.
SIAM J. Optim., 2018

Competitive online algorithms for resource allocation over the positive semidefinite cone.
Math. Program., 2018

Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms.
CoRR, 2018

Global Convergence of Policy Gradient Methods for Linearized Control Problems.
CoRR, 2018

Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator.
Proceedings of the 35th International Conference on Machine Learning, 2018

Accelerated Consensus with Linear Rate of Convergence.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Variational Gram Functions: Convex Analysis and Optimization.
SIAM J. Optim., 2017

Decomposable norm minimization with proximal-gradient homotopy algorithm.
Comput. Optim. Appl., 2017

Error bounds for Bregman denoising and structured natural parameter estimation.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Worst Case Competitive Analysis of Online Algorithms for Conic Optimization.
CoRR, 2016

Designing smoothing functions for improved worst-case competitive ratio in online optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Simple algorithms and guarantees for low rank matrix completion over F2.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Phaseless super-resolution using masks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Online algorithms for network formation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Worst case competitive analysis for online conic optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices.
IEEE Trans. Inf. Theory, 2015

Convex Structured Controller Design in Finite Horizon.
IEEE Trans. Control. Netw. Syst., 2015

A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios.
IEEE ACM Trans. Audio Speech Lang. Process., 2015

Proximal Alternating Direction Method of Multipliers for distributed optimization on weighted graphs.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Pathway Graphical Lasso.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Learning graphical models with hubs.
J. Mach. Learn. Res., 2014

Node-based learning of multiple Gaussian graphical models.
J. Mach. Learn. Res., 2014

Exponentiated Subgradient Algorithm for Online Optimization under the Random Permutation Model.
CoRR, 2014

Universal Convexification via Risk-Aversion.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Convex risk averse control design.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Random Access Compressed Sensing over Fading and Noisy Communication Channels.
IEEE Trans. Wirel. Commun., 2013

Hankel Matrix Rank Minimization with Applications to System Identification and Realization.
SIAM J. Matrix Anal. Appl., 2013

Similarity-based clustering by left-stochastic matrix factorization.
J. Mach. Learn. Res., 2013

Convex Structured Controller Design.
CoRR, 2013

Exceptions in language as learned by the multi-factor sparse plus low-rank language model.
Proceedings of the IEEE International Conference on Acoustics, 2013

A convex method for learning d-valued models.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Noisy estimation of simultaneously structured models: Limitations of convex relaxation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Convexity of optimal linear controller design.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Convex control design via covariance minimization.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Compressed sensing in random access networks with applications to underwater monitoring.
Phys. Commun., 2012

Iterative reweighted algorithms for matrix rank minimization.
J. Mach. Learn. Res., 2012

Structured Learning of Gaussian Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Random access sensor networks: Field reconstruction from incomplete data.
Proceedings of the 2012 Information Theory and Applications Workshop, 2012

Constrained multiple kernel tracking for human limbs.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

A Sparse Plus Low Rank Maximum Entropy Language Model.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

A graph realization approach to network identification.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Low Rank Language Models for Small Training Sets.
IEEE Signal Process. Lett., 2011

Random Access Compressed Sensing for Energy-Efficient Underwater Sensor Networks.
IEEE J. Sel. Areas Commun., 2011

Design of a random access network for compressed sensing.
Proceedings of the Information Theory and Applications Workshop, 2011

A simplified approach to recovery conditions for low rank matrices.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Clustering by Left-Stochastic Matrix Factorization.
Proceedings of the 28th International Conference on Machine Learning, 2011

Impact of fading on random access compressed sensing.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization.
SIAM Rev., 2010

A Novel Multimedia Educational Speech Therapy System for Hearing Impaired Children.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010

The Persian Linguistic Based Audio-Visual Data Corpus, AVA II, Considering Coarticulation.
Proceedings of the Advances in Multimedia Modeling, 2010

New Restricted Isometry results for noisy low-rank recovery.
Proceedings of the IEEE International Symposium on Information Theory, 2010

A nullspace analysis of the nuclear norm heuristic for rank minimization.
Proceedings of the IEEE International Conference on Acoustics, 2010

Reweighted nuclear norm minimization with application to system identification.
Proceedings of the American Control Conference, 2010

Model discrimination of chemical reaction networks by linearization.
Proceedings of the American Control Conference, 2010

Iterative reweighted least squares for matrix rank minimization.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Random access compressed sensing in underwater sensor networks.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
A comprehensive audio-visual corpus for teaching sound Persian phoneme articulation.
Proceedings of the IEEE International Conference on Systems, 2009

Persian Viseme Classification for Developing Visual Speech Training Application.
Proceedings of the Advances in Multimedia Information Processing, 2009

2008
Compressed sensing and robust recovery of low rank matrices.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Portfolio optimization with linear and fixed transaction costs.
Ann. Oper. Res., 2007

2006
Transient Analysis for Wireless Power Control.
Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

Complexity in Automation of SOS Proofs: An Illustrative Example.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Stochastic reachability analysis in complex biological networks.
Proceedings of the American Control Conference, 2006

2005
Amplitude and Sign Adjustment for Peak-to-Average-Power Reduction.
IEEE Trans. Commun., 2005

Network utility maximization with nonconcave, coupled, and reliability-based uilities.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2005

Network Utility Maximization With Nonconcave Utilities Using Sum-of-Squares Method.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Peak to average power reduction using amplitude and sign adjustment.
Proceedings of IEEE International Conference on Communications, 2004

Rank minimization and applications in system theory.
Proceedings of the 2004 American Control Conference, 2004

2003
Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices.
Proceedings of the American Control Conference, 2003

2001
A rank minimization heuristic with application to minimum order system approximation.
Proceedings of the American Control Conference, 2001


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