| 2024 | AISTATS | 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 | ICML | Pausing Policy Learning in Non-stationary Reinforcement Learning. | Hyunin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi |
| 2023 | AAAI | Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design. | Yuhao Ding, Ming Jin, Javad Lavaei |
| 2023 | AAAI | Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints. | Yuhao Ding, Javad Lavaei |
| 2023 | AAAI | Semidefinite Programming versus Burer-Monteiro Factorization for Matrix Sensing. | Baturalp Yalin, Ziye Ma, Javad Lavaei, Somayeh Sojoudi |
| 2023 | AAAI | Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes. | Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen |
| 2023 | ICLR | A CMDP-within-online framework for Meta-Safe Reinforcement Learning. | Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin |
| 2023 | ICML | 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 |
| 2022 | AAAI | Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems. | Yingjie Bi, Haixiang Zhang, Javad Lavaei |
| 2022 | AAAI | Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements. | Ziye Ma, Yingjie Bi, Javad Lavaei, Somayeh Sojoudi |
| 2022 | AISTATS | On the Global Optimum Convergence of Momentum-based Policy Gradient. | Yuhao Ding, Junzi Zhang, Javad Lavaei |
| 2022 | AISTATS | Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods. | Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi |
| 2022 | AISTATS | A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization. | Donghao Ying, Yuhao Ding, Javad Lavaei |
| 2021 | AISTATS | On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems. | Yingjie Bi, Javad Lavaei |
| 2019 | AAAI | On Sampling Complexity of the Semidefinite Affine Rank Feasibility Problem. | Igor Molybog, Javad Lavaei |
| 2013 | ACSSC | Convex relaxation for optimal power flow problem: Mesh networks. | Ramtin Madani, Somayeh Sojoudi, Javad Lavaei |
| 2010 | GLOBECOM | Passively Controllable Smart Antennas. | Javad Lavaei, Aydin Babakhani, Ali Hajimiri, John C. Doyle |
| 2010 | INFOCOM | Utility Functionals Associated With Available Congestion Control Algorithms. | Javad Lavaei, John C. Doyle, Steven H. Low |
| 2007 | ACC | Characterization of Decentralized and Quotient Fixed Modes via Graph Theory. | Javad Lavaei, Amir G. Aghdam |
| 2007 | ACC | On Structurally Constrained Control Design with a Prespecified Form. | Javad Lavaei, Amir G. Aghdam |
| 2007 | ACC | A Cooperative Model Predictive Control Technique for Spacecraft Formation Flying. | Javad Lavaei, Ahmadreza Momeni, Amir G. Aghdam |
| 2007 | ACC | Stability Criterion for General Proper Systems with Constrained Control Structure. | Javad Lavaei, Somayeh Sojoudi, Amir G. Aghdam |
| 2007 | ACC | Optimal Information Flow Structure for Control of Interconnected Systems. | Somayeh Sojoudi, Javad Lavaei, Amir G. Aghdam |