Maryam Fazel
37 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (15) π Academic Marathon (13)
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Academic Marathon
(13)
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Cross-Pollinator
(8)
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Renaissance Researcher
(6)
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Deep Specialist
(11)
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Keyword Champion
(4)
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Grand Slam
π₯
Unstoppable
(8)
π
Trend Setter
ποΈ
Keyword Collector
(154)
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Prolific Year
(5)
π
Century Club
(37)
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Conference Pioneer
Conferences
NIPS (13)
AISTATS (7)
JMLR (6)
AAAI (4)
L4DC (3)
ICLR (2)
ICML (1)
UAI (1)
Top co-authors
Keywords
regret bound
(6)
gradient descent
(5)
convex optimization
(4)
online optimization
(4)
game theory
(4)
nash equilibrium
(4)
submodular maximization
(3)
sample complexity
(3)
best-arm identification
(2)
reinforcement learning
(2)
performative prediction
(2)
policy optimization
(2)
linear bandit
(2)
congestion game
(2)
global convergence
(2)
online learning
(2)
high-dimensional estimation
(2)
bandit feedback
(2)
gaussian graphical model
(2)
multi-agent system
(2)
Papers
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control
JMLR 2025
Offline Multi-task Transfer RL with Representational Penalization
AISTATS 2025
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning
AISTATS 2025
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
L4DC 2025
Emergent specialization from participation dynamics and multi-learner retraining
AISTATS 2024
Efficient Interactive Maximization of BP and Weakly Submodular Objectives
UAI 2024
Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models
NIPS 2024
Initializing Services in Interactive ML Systems for Diverse Users
NIPS 2024
Learning Optimal Tax Design in Nonatomic Congestion Games
NIPS 2024
Fair Participation via Sequential Policies
AAAI 2024
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
ICLR 2024
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity
AISTATS 2024
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
ICLR 2023
No-Regret Online Prediction with Strategic Experts
NIPS 2023
Stochastic Contextual Bandits with Long Horizon Rewards
AAAI 2023
Multiplayer Performative Prediction: Learning in Decision-Dependent Games
JMLR 2023
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds
L4DC 2023
Learning in Stochastic Monotone Games with Decision-Dependent Data
AISTATS 2022
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments
AAAI 2022
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
NIPS 2022
Learning in Congestion Games with Bandit Feedback
NIPS 2022
Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints
AISTATS 2021
Selective Sampling for Online Best-arm Identification
NIPS 2021
Towards Sample-efficient Overparameterized Meta-learning
NIPS 2021
Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation
AAAI 2021
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints
AISTATS 2020
Finite Sample System Identification: Optimal Rates and the Role of Regularization
L4DC 2020
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints
NIPS 2020
Escaping from saddle points on Riemannian manifolds
NIPS 2019
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator
ICML 2018
Designing smoothing functions for improved worst-case competitive ratio in online optimization
NIPS 2016
Exploiting Tradeoffs for Exact Recovery in Heterogeneous Stochastic Block Models
NIPS 2016
Node-Based Learning of Multiple Gaussian Graphical Models
JMLR 2014
Learning Graphical Models With Hubs
JMLR 2014
Similarity-based Clustering by Left-Stochastic Matrix Factorization
JMLR 2013
Iterative Reweighted Algorithms for Matrix Rank Minimization
JMLR 2012
Structured Learning of Gaussian Graphical Models
NIPS 2012