Sai Srivatsa Ravindranath

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Regularization Methods

Combinatorial Auctions

Image Retrieval

Top Venues

Publications

Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
Optimal Auctions through Deep Learning: Advances in Differentiable Economics. J. ACM 71 (1) (2024)
Sai Srivatsa Ravindranath, Zhe Feng, Di Wang, Manzil Zaheer, Aranyak Mehta, David C. Parkes
Deep Reinforcement Learning for Sequential Combinatorial Auctions. CoRR (2024)
Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes
Data Market Design through Deep Learning. CoRR (2023)
Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes
Data Market Design through Deep Learning. NeurIPS (2023)
Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers, David C. Parkes
Deep Learning for Two-Sided Matching. CoRR (2021)
Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
Optimal auctions through deep learning. Commun. ACM 64 (8) (2021)
Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes
From Predictions to Decisions: Using Lookahead Regularization. CoRR (2020)
Nir Rosenfeld, Anna Hilgard, Sai Srivatsa Ravindranath, David C. Parkes
From Predictions to Decisions: Using Lookahead Regularization. NeurIPS (2020)
Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
Optimal Auctions through Deep Learning. ICML (2019)
Sai Srivatsa Ravindranath, Michael Gygli, Luc Van Gool
ETH-CVL @ MediaEval 2015: Learning Objective Functions for Improved Image Retrieval. MediaEval (2015)