A Distributed Boyle-Dykstra-Han Scheme. - Soham R. Phade; Vivek S. Borkar (SIAM J. Optim., 2017)

Optimal Resource Allocation over Networks via Lottery-Based Mechanisms. - Soham R. Phade; Venkat Anantharam (GAMENETS, 2019)

On the Geometry of Nash and Correlated Equilibria with Cumulative Prospect Theoretic Preferences. - Soham R. Phade; Venkat Anantharam (Decis. Anal., 2019)

Black-Box Strategies and Equilibrium for Games with Cumulative Prospect Theoretic Players. - Soham R. Phade; Venkat Anantharam (CoRR, 2020)

Utility-based Resource Allocation and Pricing for Serverless Computing. - Vipul Gupta; Soham R. Phade; Thomas A. Courtade; Kannan Ramchandran (CoRR, 2020)

On the Impossibility of Convergence of Mixed Strategies with No Regret Learning. - Vidya Muthukumar; Soham Phade; Anant Sahai (CoRR, 2020)

Mechanism Design for Cumulative Prospect Theoretic Agents: A General Framework and the Revelation Principle. - Soham R. Phade; Venkat Anantharam (CoRR, 2021)

Finding General Equilibria in Many-Agent Economic Simulations Using Deep Reinforcement Learning. - Michael Curry 002; Alexander Trott; Soham Phade; Yu Bai; Stephan Zheng (CoRR, 2022)

Interactive Recommendations for Optimal Allocations in Markets with Constraints. - Yigit Efe Erginbas; Soham R. Phade; Kannan Ramchandran (CoRR, 2022)

AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. - Tianyu Zhang; Andrew Williams; Soham Phade; Sunil Srinivasa; Yang Zhang; Prateek Gupta; Yoshua Bengio; Stephan Zheng (CoRR, 2022)

Interactive Learning with Pricing for Optimal and Stable Allocations in Markets. - Yigit Efe Erginbas; Soham Phade; Kannan Ramchandran (AISTATS, 2023)

Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning. - Michael Curry 002; Alexander Trott; Soham Phade; Yu Bai; Stephan Zheng (AAMAS, 2023)

Online Pricing for Multi-User Multi-Item Markets. - Yigit Efe Erginbas; Thomas A. Courtade; Kannan Ramchandran; Soham Phade (NeurIPS, 2023)

AI For Global Climate Cooperation 2023 Competition Proceedings. - Yoshua Bengio; Prateek Gupta; Lu Li; Soham Phade; Sunil Srinivasa; Andrew Williams; Tianyu Zhang; Yang Zhang; Stephan Zheng (CoRR, 2023)

MERMAIDE: Learning to Align Learners using Model-Based Meta-Learning. - Arundhati Banerjee; Soham R. Phade; Stefano Ermon; Stephan Zheng (Trans. Mach. Learn. Res., 2023)

Learning in Games with Cumulative Prospect Theoretic Preferences. - Soham R. Phade; Venkat Anantharam (Dyn. Games Appl., 2023)