Lavaei, Javad

32 publications

L4DC 2025 A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations Ahmad Al-Tawaha, Javad Lavaei, Ming Jin

NeurIPS 2025 Don’t Trade Off Safety: Diffusion Regularization for Constrained Offline RL Junyu Guo, Zhi Zheng, Donghao Ying, Ming Jin, Shangding Gu, Costas Spanos, Javad Lavaei

TMLR 2025 Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem Under Sparse Disturbances or Semi-Oblivious Attacks Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Eduardo Sontag

TMLR 2025 Online Bandit Nonlinear Control with Dynamic Batch Length and Adaptive Learning Rate Jihun Kim, Javad Lavaei

JAIR 2025 Policy-Based Primal-Dual Methods for Concave CMDP with Variance Reduction Donghao Ying, Mengzi Amy Guo, Hyunin Lee, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen

AISTATS 2024 Absence of Spurious Solutions Far from Ground Truth: A Low-Rank Analysis with High-Order Losses Ziye Ma, Ying Chen, Javad Lavaei, Somayeh Sojoudi

ICML 2024 Pausing Policy Learning in Non-Stationary Reinforcement Learning Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi

ICLR 2023 A CMDP-Within-Online Framework for Meta-Safe Reinforcement Learning Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin

NeurIPS 2023 Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing Ziye Ma, Javad Lavaei, Somayeh Sojoudi

NeurIPS 2023 Geometric Analysis of Matrix Sensing over Graphs Haixiang Zhang, Ying Chen, Javad Lavaei

L4DC 2023 Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold Bilgehan Sel, Ahmad Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, Ming Jin

NeurIPS 2023 No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand Mengzi Amy Guo, Donghao Ying, Javad Lavaei, Zuo-Jun Shen

AAAI 2023 Non-Stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design Yuhao Ding, Ming Jin, Javad Lavaei

ICML 2023 Over-Parametrization via Lifting for Low-Rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi

AAAI 2023 Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen

AAAI 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-Stationary Objectives and Constraints Yuhao Ding, Javad Lavaei

NeurIPS 2023 Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei

AAAI 2023 Semidefinite Programming Versus Burer-Monteiro Factorization for Matrix Sensing Baturalp Yalçin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi

NeurIPS 2023 Tempo Adaptation in Non-Stationary Reinforcement Learning Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi

AISTATS 2022 A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization Donghao Ying, Yuhao Ding, Javad Lavaei

AISTATS 2022 Factorization Approach for Low-Complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods Baturalp Yalçın, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi

AISTATS 2022 On the Global Optimum Convergence of Momentum-Based Policy Gradient Yuhao Ding, Junzi Zhang, Javad Lavaei

AAAI 2022 Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems Yingjie Bi, Haixiang Zhang, Javad Lavaei

AAAI 2022 Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi

AISTATS 2021 On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems Yingjie Bi, Javad Lavaei

NeurIPS 2021 General Low-Rank Matrix Optimization: Geometric Analysis and Sharper Bounds Haixiang Zhang, Yingjie Bi, Javad Lavaei

NeurIPS 2021 Stochastic $L^\natural$-Convex Function Minimization Haixiang Zhang, Zeyu Zheng, Javad Lavaei

JMLR 2020 Conic Optimization for Quadratic Regression Under Sparse Noise Igor Molybog, Ramtin Madani, Javad Lavaei

AAAI 2019 On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem Igor Molybog, Javad Lavaei

JMLR 2019 Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery Richard Y. Zhang, Somayeh Sojoudi, Javad Lavaei

NeurIPS 2018 A Theory on the Absence of Spurious Solutions for Nonconvex and Nonsmooth Optimization Cedric Josz, Yi Ouyang, Richard Zhang, Javad Lavaei, Somayeh Sojoudi

NeurIPS 2018 How Much Restricted Isometry Is Needed in Nonconvex Matrix Recovery? Richard Zhang, Cedric Josz, Somayeh Sojoudi, Javad Lavaei