Romberg, Justin

16 publications

NeurIPS 2024 Precise Asymptotics of Reweighted Least-Squares Algorithms for Linear Diagonal Networks Chiraag Kaushik, Justin Romberg, Vidya Muthukumar

NeurIPS 2023 Connected Superlevel Set in (Deep) Reinforcement Learning and Its Application to Minimax Theorems Sihan Zeng, Thinh Doan, Justin Romberg

NeurIPS 2023 PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems Jihui Jin, Etienne Ollivier, Richard Touret, Matthew McKinley, Karim Sabra, Justin Romberg

NeurIPSW 2022 Incorporating Higher Order Constraints for Training Surrogate Models to Solve Inverse Problems Jihui Jin, Nick Durofchalk, Richard Touret, Karim Sabra, Justin Romberg

NeurIPSW 2022 Loop Unrolled Shallow Equilibrium Regularizer (LUSER) - A Memory-Efficient Inverse Problem Solver Peimeng Guan, Jihui Jin, Justin Romberg, Mark A. Davenport

NeurIPS 2022 Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games Sihan Zeng, Thinh Doan, Justin Romberg

UAI 2021 A Decentralized Policy Gradient Approach to Multi-Task Reinforcement Learning Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan, Arijit Raychowdhury, Justin Romberg

JMLR 2020 Convex Programming for Estimation in Nonlinear Recurrent Models Sohail Bahmani, Justin Romberg

L4DC 2020 Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation Thinh Doan, Justin Romberg

AISTATS 2020 Sample Complexity Bounds for Localized Sketching Rakshith Sharma Srinivasa, Mark Davenport, Justin Romberg

NeurIPS 2020 Sample Complexity and Effective Dimension for Regression on Manifolds Andrew McRae, Justin Romberg, Mark Davenport

NeurIPS 2019 Decentralized Sketching of Low Rank Matrices Rakshith Sharma Srinivasa, Kiryung Lee, Marius Junge, Justin Romberg

ICML 2019 Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning Thinh Doan, Siva Maguluri, Justin Romberg

NeurIPS 2017 Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg

AISTATS 2017 Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation Sohail Bahmani, Justin Romberg

NeurIPS 2015 Efficient Compressive Phase Retrieval with Constrained Sensing Vectors Sohail Bahmani, Justin Romberg