Practical Convex Formulation of Robust One-hidden-layer Neural Network Training. - Yatong Bai; Tanmay Gautam; Yu Gai; Somayeh Sojoudi (CoRR, 2021)

Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training. - Yatong Bai; Tanmay Gautam; Yu Gai; Somayeh Sojoudi (ACC, 2022)

A Sequential Greedy Approach for Training Implicit Deep Models. - Tanmay Gautam; Brendon G. Anderson; Somayeh Sojoudi; Laurent El Ghaoui (CDC, 2022)

Safe Reinforcement Learning with Chance-constrained Model Predictive Control. - Samuel Pfrommer; Tanmay Gautam; Alec Zhou; Somayeh Sojoudi (L4DC, 2022)

An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models. - Brendon G. Anderson; Tanmay Gautam; Somayeh Sojoudi (CoRR, 2022)

Meta-Learning Parameterized First-Order Optimizers Using Differentiable Convex Optimization. - Tanmay Gautam; Samuel Pfrommer; Somayeh Sojoudi (CDC, 2023)

Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training. - Yatong Bai; Tanmay Gautam; Somayeh Sojoudi (SIAM J. Math. Data Sci., 2023)

Ranking Manipulation for Conversational Search Engines. - Samuel Pfrommer; Yatong Bai; Tanmay Gautam; Somayeh Sojoudi (EMNLP, 2024)

Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models. - Tanmay Gautam; Youngsuk Park; Hao Zhou; Parameswaran Raman; Wooseok Ha (ICML, 2024)

Soft convex quantization: revisiting Vector Quantization with convex optimization. - Tanmay Gautam; Reid Pryzant; Ziyi Yang; Chenguang Zhu; Somayeh Sojoudi (L4DC, 2024)

Advancements in Efficient Training Strategies for Modern Deep Learning: From Implicit Deep Learning to Language Models and Beyond - Tanmay Gautam (2024)