Javad Lavaei
University of California, Berkeley
H-index: 37
North America-United States
Top articles of Javad Lavaei
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
No-regret learning in dynamic competition with reference effects under logit demand | Advances in Neural Information Processing Systems | Mengzi Amy Guo Donghao Ying Javad Lavaei Zuo-Jun Shen | 2024/2/13 |
Scalable primal-dual actor-critic method for safe multi-agent rl with general utilities | Advances in Neural Information Processing Systems | Donghao Ying Yunkai Zhang Yuhao Ding Alec Koppel Javad Lavaei | 2024/2/13 |
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses | Ziye Ma Ying Chen Javad Lavaei Somayeh Sojoudi | 2024/4/18 | |
Tempo adaptation in non-stationary reinforcement learning | Advances in Neural Information Processing Systems | Hyunin Lee Yuhao Ding Jongmin Lee Ming Jin Javad Lavaei | 2024/2/13 |
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing | Advances in Neural Information Processing Systems | Ziye Ma Javad Lavaei Somayeh Sojoudi | 2024/2/13 |
Geometric analysis of noisy low-rank matrix recovery in the exact parametrized and the overparametrized regimes | INFORMS Journal on Optimization | Ziye Ma Yingjie Bi Javad Lavaei Somayeh Sojoudi | 2023/10 |
Distributed power system state estimation using graph convolutional neural networks | Proceedings of the Hawaii International Conference on System Sciences | SangWoo Park Fernando Gama Javad Lavaei Somayeh Sojoudi | 2023/1 |
Exact Recovery for System Identification with More Corrupt Data than Clean Data | arXiv preprint arXiv:2305.10506 | Baturalp Yalcin Javad Lavaei Murat Arcak | 2023/5/17 |
Policy-based primal-dual methods for convex constrained markov decision processes | Proceedings of the AAAI Conference on Artificial Intelligence | Donghao Ying Mengzi Amy Guo Yuhao Ding Javad Lavaei Zuo-Jun Shen | 2023/6/26 |
Gradient-based algorithms for convex discrete optimization via simulation | Operations research | Haixiang Zhang Zeyu Zheng Javad Lavaei | 2023/9 |
Geometric Analysis of Matrix Sensing over Graphs | Haixiang Zhang Ying Chen Javad Lavaei | 2023 | |
Provably efficient primal-dual reinforcement learning for cmdps with non-stationary objectives and constraints | Proceedings of the AAAI Conference on Artificial Intelligence | Yuhao Ding Javad Lavaei | 2023/6/26 |
A new complexity metric for nonconvex rank-one generalized matrix completion | Mathematical Programming | Haixiang Zhang Baturalp Yalcin Javad Lavaei Somayeh Sojoudi | 2023/8/16 |
Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints | Eli Brock Haixiang Zhang Julie Mulvaney Kemp Javad Lavaei Somayeh Sojoudi | 2023 | |
Local analysis of entropy-regularized stochastic soft-max policy gradient methods | Yuhao Ding Junzi Zhang Javad Lavaei | 2023/6/13 | |
Last-iterate Convergence in No-regret Learning: Games with Reference Effects Under Logit Demand | Available at SSRN 4597658 | Mengzi Amy Guo Donghao Ying Javad Lavaei Zuo-Jun Max Shen | 2023/10/10 |
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 | 2023/7/3 | |
Scalable multi-agent reinforcement learning with general utilities | Donghao Ying Yuhao Ding Alec Koppel Javad Lavaei | 2023/5/31 | |
A CMDP-within-online framework for Meta-Safe Reinforcement Learning | Vanshaj Khattar Yuhao Ding Bilgehan Sel Javad Lavaei Ming Jin | 2023 | |
Semidefinite programming versus burer-monteiro factorization for matrix sensing | Proceedings of the AAAI Conference on Artificial Intelligence | Baturalp Yalçın Ziye Ma Javad Lavaei Somayeh Sojoudi | 2023/6/26 |
Co-Authors
