Tanmay Gautam

According to our database, Tanmay Gautam authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., June, 2023

Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization.

Tanmay Gautam, Reid Pryzant, Ziyi Yang, Chenguang Zhu, Somayeh Sojoudi

CoRR, 2023

Meta-Learning Parameterized First-Order Optimizers Using Differentiable Convex Optimization.

Tanmay Gautam, Samuel Pfrommer, Somayeh Sojoudi

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models.

Brendon G. Anderson, Tanmay Gautam, Somayeh Sojoudi

CoRR, 2022

Safe Reinforcement Learning with Chance-constrained Model Predictive Control.

Samuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi

Proceedings of the Learning for Dynamics and Control Conference, 2022

A Sequential Greedy Approach for Training Implicit Deep Models.

Tanmay Gautam, Brendon G. Anderson, Somayeh Sojoudi, Laurent El Ghaoui

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training.

Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi

Proceedings of the American Control Conference, 2022

2021

Practical Convex Formulation of Robust One-hidden-layer Neural Network Training.

Yatong Bai, Tanmay Gautam, Yu Gai, Somayeh Sojoudi

CoRR, 2021