The Price of Indivisibility in Cake Cutting. - Eshwar Ram Arunachaleswaran; Ragavendran Gopalakrishnan (CoRR, 2018)

Fair Division with a Secretive Agent. - Eshwar Ram Arunachaleswaran; Siddharth Barman; Nidhi Rathi (AAAI, 2019)

Fair and Efficient Cake Division with Connected Pieces. - Eshwar Ram Arunachaleswaran; Siddharth Barman; Rachitesh Kumar; Nidhi Rathi (WINE, 2019)

Fully Polynomial-Time Approximation Schemes for Fair Rent Division. - Eshwar Ram Arunachaleswaran; Siddharth Barman; Nidhi Rathi (Math. Oper. Res., 2022)

Pipeline Interventions. - Eshwar Ram Arunachaleswaran; Sampath Kannan; Aaron Roth 001; Juba Ziani (Math. Oper. Res., 2022)

Reconstructing Ultrametric Trees from Noisy Experiments. - Eshwar Ram Arunachaleswaran; Anindya De; Sampath Kannan (ALT, 2023)

Efficient Stackelberg Strategies for Finitely Repeated Games. - Natalie Collina; Eshwar Ram Arunachaleswaran; Michael Kearns (AAMAS, 2023)

Wealth Dynamics Over Generations: Analysis and Interventions. - Krishna Acharya; Eshwar Ram Arunachaleswaran; Sampath Kannan; Aaron Roth 001; Juba Ziani (SaTML, 2023)

Oracle Efficient Algorithms for Groupwise Regret. - Krishna Acharya; Eshwar Ram Arunachaleswaran; Sampath Kannan; Aaron Roth 001; Juba Ziani (ICLR, 2024)

Pareto-Optimal Algorithms for Learning in Games. - Eshwar Ram Arunachaleswaran; Natalie Collina; Jon Schneider (EC, 2024)

An Elementary Predictor Obtaining 2√T Distance to Calibration. - Eshwar Ram Arunachaleswaran; Natalie Collina; Aaron Roth 001; Mirah Shi (CoRR, 2024)

Algorithmic Collusion Without Threats. - Eshwar Ram Arunachaleswaran; Natalie Collina; Sampath Kannan; Aaron Roth 001; Juba Ziani (ITCS, 2025)

Swap Regret and Correlated Equilibria Beyond Normal-Form Games. - Eshwar Ram Arunachaleswaran; Natalie Collina; Yishay Mansour; Mehryar Mohri; Jon Schneider; Balasubramanian Sivan (EC, 2025)

Learning to Play Against Unknown Opponents. - Eshwar Ram Arunachaleswaran; Natalie Collina; Jon Schneider (EC, 2025)

An Elementary Predictor Obtaining Distance to Calibration. - Eshwar Ram Arunachaleswaran; Natalie Collina; Aaron Roth 001; Mirah Shi (SODA, 2025)