Tanmay Gautam

According to our database1, Tanmay Gautam authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Soft convex quantization: revisiting Vector Quantization with convex optimization.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Ranking Manipulation for Conversational Search Engines.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training.
SIAM J. Math. Data Sci., June, 2023

Meta-Learning Parameterized First-Order Optimizers Using Differentiable Convex Optimization.
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.
CoRR, 2022

Safe Reinforcement Learning with Chance-constrained Model Predictive Control.
Proceedings of the Learning for Dynamics and Control Conference, 2022

A Sequential Greedy Approach for Training Implicit Deep Models.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Practical Convex Formulations of One-hidden-layer Neural Network Adversarial Training.
Proceedings of the American Control Conference, 2022

2021
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training.
CoRR, 2021


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