Utility-based resource allocation and pricing for serverless computing V Gupta, S Phade, T Courtade, K Ramchandran
arXiv preprint arXiv:2008.07793, 2020
13 2020 On the geometry of Nash and correlated equilibria with cumulative prospect theoretic preferences SR Phade, V Anantharam
Decision Analysis 16 (2), 142-156, 2019
10 2019 A Distributed Boyle--Dykstra--Han Scheme SR Phade, VS Borkar
SIAM Journal on Optimization 27 (3), 1880-1897, 2017
10 2017 Learning in games with cumulative prospect theoretic preferences SR Phade, V Anantharam
Dynamic Games and Applications, 1-42, 2023
6 2023 AI for global climate cooperation: modeling global climate negotiations, agreements, and long-term cooperation in RICE-N T Zhang, A Williams, S Phade, S Srinivasa, Y Zhang, P Gupta, Y Bengio, ...
arXiv preprint arXiv:2208.07004, 2022
6 2022 Finding general equilibria in many-agent economic simulations using deep reinforcement learning M Curry, AR Trott, S Phade, Y Bai, S Zheng
6 2021 Optimal resource allocation over networks via lottery-based mechanisms S Phade, V Anantharam
International Conference on Game Theory for Networks, 51-70, 2019
4 2019 Analyzing Micro-Founded General Equilibrium Models with Many Agents using Deep Reinforcement Learning M Curry, A Trott, S Phade, Y Bai, S Zheng
arXiv preprint arXiv:2201.01163, 2022
2 2022 Black-Box Strategies and Equilibrium for Games with Cumulative Prospect Theoretic Players SR Phade, V Anantharam
arXiv preprint arXiv:2004.09592, 2020
2 2020 Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning. M Curry, A Trott, S Phade, Y Bai, S Zheng
AAMAS, 2760-2762, 2023
1 2023 Interactive Recommendations for Optimal Allocations in Markets with Constraints YE Erginbas, S Phade, K Ramchandran
arXiv preprint arXiv:2207.04143, 2022
1 2022 Mechanism Design for Cumulative Prospect Theoretic Agents: A General Framework and the Revelation Principle SR Phade, V Anantharam
arXiv preprint arXiv:2101.08722, 2021
1 2021 On the Impossibility of Convergence of Mixed Strategies with No Regret Learning V Muthukumar, S Phade, A Sahai
arXiv preprint arXiv:2012.02125, 2020
1 2020 Systems and methods for model-based meta-learning A Banerjee, S Zheng, S Phade, S Ermon
US Patent App. 18/159,036, 2024
2024 Online Pricing for Multi-User Multi-Item Markets YE Erginbas, T Courtade, K Ramchandran, S Phade
Advances in Neural Information Processing Systems 36, 29718-29740, 2023
2023 AI For Global Climate Cooperation 2023 Competition Proceedings Y Bengio, P Gupta, L Li, S Phade, S Srinivasa, A Williams, T Zhang, ...
arXiv preprint arXiv:2307.06951, 2023
2023 Interactive Learning with Pricing for Optimal and Stable Allocations in Markets YE Erginbas, S Phade, K Ramchandran
International Conference on Artificial Intelligence and Statistics, 9773-9806, 2023
2023 MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning A Banerjee, S Phade, S Ermon, S Zheng
arXiv preprint arXiv:2304.04668, 2023
2023 MERMADE: -shot Robust Adaptive Mechanism Design via Model-Based Meta-Learning A Banerjee, SR Phade, S Ermon, S Zheng
2022 Behavioral Network Economics SR Phade
University of California, Berkeley, 2021
2021