Safe reinforcement learning with chance-constrained model predictive control S Pfrommer, T Gautam, A Zhou, S Sojoudi Learning for Dynamics and Control Conference, 291-303, 2022 | 27 | 2022 |
Efficient global optimization of two-layer relu networks: Quadratic-time algorithms and adversarial training Y Bai, T Gautam, S Sojoudi SIAM Journal on Mathematics of Data Science 5 (2), 446-474, 2023 | 20 | 2023 |
Practical convex formulations of one-hidden-layer neural network adversarial training Y Bai, T Gautam, Y Gai, S Sojoudi 2022 American Control Conference (ACC), 1535-1542, 2022 | 9* | 2022 |
Variance-reduced zeroth-order methods for fine-tuning language models T Gautam, Y Park, H Zhou, P Raman, W Ha arXiv preprint arXiv:2404.08080, 2024 | 6 | 2024 |
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization T Gautam, R Pryzant, Z Yang, C Zhu, S Sojoudi arXiv preprint arXiv:2310.03004, 2023 | 5 | 2023 |
A sequential greedy approach for training implicit deep models T Gautam, BG Anderson, S Sojoudi, L El Ghaoui 2022 IEEE 61st Conference on Decision and Control (CDC), 2751-2758, 2022 | 3 | 2022 |
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization T Gautam, S Pfrommer, S Sojoudi 2023 62nd IEEE Conference on Decision and Control (CDC), 2284-2291, 2023 | 1 | 2023 |
An overview and prospective outlook on robust training and certification of machine learning models BG Anderson, T Gautam, S Sojoudi arXiv preprint arXiv:2208.07464, 2022 | 1 | 2022 |
Ranking Manipulation for Conversational Search Engines S Pfrommer, Y Bai, T Gautam, S Sojoudi arXiv preprint arXiv:2406.03589, 2024 | | 2024 |
Advancements in Efficient Training Strategies for Modern Deep Learning: From Implicit Deep Learning to Language Models and Beyond T Gautam UC Berkeley, 2024 | | 2024 |