MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data - William Berman; Alexander Peysakhovich (CoRR, 2024)

Implementing Fairness Constraints in Markets Using Taxes and Subsidies - Alexander Peysakhovich; Christian Kroer; Nicolas Usunier (Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2023, Chicago, IL, USA, June 12-15, 2023, 2023)

Diagnosis Uncertain Models For Medical Risk Prediction - Alexander Peysakhovich; Rich Caruana; Yin Aphinyanaphongs (CoRR, 2023)

Attention Sorting Combats Recency Bias In Long Context Language Models - Alexander Peysakhovich; Adam Lerer (CoRR, 2023)

Computing Large Market Equilibria Using Abstractions - Christian Kroer; Alexander Peysakhovich; Eric Sodomka; Nicolás E. Stier Moses (Oper. Res., 2022)

Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes - Leon Yao; Caroline Lo; Israel Nir; Sarah Tan; Ariel Evnine; Adam Lerer; Alex Peysakhovich (CoRR, 2022)

Parity in Markets - Methods, Costs, and Consequences - Alexander Peysakhovich; Christian Kroer; Nicolas Usunier (CoRR, 2022)

Online Market Equilibrium with Application to Fair Division - Yuan Gao; Alex Peysakhovich; Christian Kroer (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Online Market Equilibrium with Application to Fair Division - Yuan Gao; Christian Kroer; Alex Peysakhovich (CoRR, 2021)

An Attract-Repel Decomposition of Undirected Networks - Alexander Peysakhovich; Léon Bottou (CoRR, 2021)

Robust Market Equilibria with Uncertain Preferences - Riley Murray; Christian Kroer; Alex Peysakhovich; Parikshit Shah (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

"Other-Play" for Zero-Shot Coordination - Hengyuan Hu; Adam Lerer; Alex Peysakhovich; Jakob N. Foerster (Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, 2020)

Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian - Jack Parker-Holder; Luke Metz; Cinjon Resnick; Hengyuan Hu; Adam Lerer; Alistair Letcher; Alexander Peysakhovich; Aldo Pacchiano; Jakob N. Foerster (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions - Tom Yan; Christian Kroer; Alexander Peysakhovich (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

"Other-Play" for Zero-Shot Coordination - Hengyuan Hu; Adam Lerer; Alex Peysakhovich; Jakob N. Foerster (CoRR, 2020)

Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions - Tom Yan; Christian Kroer; Alexander Peysakhovich (CoRR, 2020)

Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian - Jack Parker-Holder; Luke Metz; Cinjon Resnick; Hengyuan Hu; Adam Lerer; Alistair Letcher; Alex Peysakhovich; Aldo Pacchiano; Jakob N. Foerster (CoRR, 2020)

The Good, the Bad, and the Unflinchingly Selfish: Pro-sociality can be Well Predicted Using Payoffs and Three Behavioral Types - Ziv Epstein; Alexander Peysakhovich; David G. Rand (ACM Trans. Economics and Comput., 2019)

Learning Existing Social Conventions via Observationally Augmented Self-Play - Adam Lerer; Alexander Peysakhovich (Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019, Honolulu, HI, USA, January 27-28, 2019, 2019)

Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2 - Alexander Peysakhovich (Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019, Honolulu, HI, USA, January 27-28, 2019, 2019)

Observational Data for Heterogeneous Treatment Effects with Application to Recommender Systems - Akos Lada; Alexander Peysakhovich; Diego Aparicio; Michael Bailey (Proceedings of the 2019 ACM Conference on Economics and Computation, EC 2019, Phoenix, AZ, USA, June 24-28, 2019, 2019)

Computing Large Market Equilibria using Abstractions - Christian Kroer; Alexander Peysakhovich; Eric Sodomka; Nicolás E. Stier Moses (Proceedings of the 2019 ACM Conference on Economics and Computation, EC 2019, Phoenix, AZ, USA, June 24-28, 2019, 2019)

Discovering Context Effects from Raw Choice Data - Arjun Seshadri; Alex Peysakhovich; Johan Ugander (Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA, 2019)

Pytorch-BigGraph: A Large Scale Graph Embedding System - Adam Lerer; Ledell Wu; Jiajun Shen; Timothée Lacroix; Luca Wehrstedt; Abhijit Bose; Alex Peysakhovich (Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, Stanford, CA, USA, March 31 - April 2, 2019, 2019)

Robust Multi-agent Counterfactual Prediction - Alexander Peysakhovich; Christian Kroer; Adam Lerer (Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, December 8-14, 2019, Vancouver, BC, Canada, 2019)

Computing large market equilibria using abstractions - Christian Kroer; Alexander Peysakhovich; Eric Sodomka; Nicolás E. Stier Moses (CoRR, 2019)

Discovering Context Effects from Raw Choice Data - Arjun Seshadri; Alexander Peysakhovich; Johan Ugander (CoRR, 2019)

PyTorch-BigGraph: A Large-scale Graph Embedding System - Adam Lerer; Ledell Wu; Jiajun Shen; Timothée Lacroix; Luca Wehrstedt; Abhijit Bose; Alexander Peysakhovich (CoRR, 2019)

Robust Multi-agent Counterfactual Prediction - Alexander Peysakhovich; Christian Kroer; Adam Lerer (CoRR, 2019)

Fair Division Without Disparate Impact - Alexander Peysakhovich; Christian Kroer (CoRR, 2019)

Scalable Fair Division for 'At Most One' Preferences - Christian Kroer; Alexander Peysakhovich (CoRR, 2019)

Robust Market Equilibria with Uncertain Preferences - Riley Murray; Christian Kroer; Alex Peysakhovich; Parikshit Shah (CoRR, 2019)

Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version) - Alexander Peysakhovich; Adam Lerer (The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Towards AI that Can Solve Social Dilemmas - Alexander Peysakhovich; Adam Lerer (2018 AAAI Spring Symposia, Stanford University, Palo Alto, California, USA, March 26-28, 2018, 2018)

Prosocial Learning Agents Solve Generalized Stag Hunts Better than Selfish Ones - Alexander Peysakhovich; Adam Lerer (Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 2018, 2018)

Consequentialist conditional cooperation in social dilemmas with imperfect information - Alexander Peysakhovich; Adam Lerer (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Learning Causal Effects From Many Randomized Experiments Using Regularized Instrumental Variables - Alexander Peysakhovich; Dean Eckles (Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018, 2018)

Learning Social Conventions in Markov Games - Adam Lerer; Alexander Peysakhovich (CoRR, 2018)

Backplay: "Man muss immer umkehren" - Cinjon Resnick; Roberta Raileanu; Sanyam Kapoor; Alex Peysakhovich; Kyunghyun Cho; Joan Bruna (CoRR, 2018)

Improving pairwise comparison models using Empirical Bayes shrinkage - Stephen Ragain; Alexander Peysakhovich; Johan Ugander (CoRR, 2018)

Reinforcement learning and inverse reinforcement learning with system 1 and system 2 - Alexander Peysakhovich (CoRR, 2018)

Multi-Agent Cooperation and the Emergence of (Natural) Language - Angeliki Lazaridou; Alexander Peysakhovich; Marco Baroni (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

Learning context-dependent preferences from raw data - Alexander Peysakhovich; Johan Ugander (Proceedings of the 12th workshop on the Economics of Networks, Systems and Computation, NetEcon@EC 2017, Cambridge, MA, USA, June 26-30, 2017, 2017)

Maintaining cooperation in complex social dilemmas using deep reinforcement learning - Adam Lerer; Alexander Peysakhovich (CoRR, 2017)

Prosocial learning agents solve generalized Stag Hunts better than selfish ones - Alexander Peysakhovich; Adam Lerer (CoRR, 2017)

Consequentialist conditional cooperation in social dilemmas with imperfect information - Alexander Peysakhovich; Adam Lerer (CoRR, 2017)

Habits of Virtue: Creating Norms of Cooperation and Defection in the Laboratory - Alexander Peysakhovich; David G. Rand (Manag. Sci., 2016)

Asymmetric Effects of Favorable and Unfavorable Information on Decision Making Under Ambiguity - Alexander Peysakhovich; Uma R. Karmarkar (Manag. Sci., 2016)

Recency, Records, and Recaps: Learning and Nonequilibrium Behavior in a Simple Decision Problem - Drew Fudenberg; Alexander Peysakhovich (ACM Trans. Economics and Comput., 2016)

The Good, the Bad, and the Unflinchingly Selfish: Cooperative Decision-Making can be Predicted with high Accuracy when using only Three Behavioral Types - Ziv Epstein; Alexander Peysakhovich; David G. Rand (Proceedings of the 2016 ACM Conference on Economics and Computation, EC '16, Maastricht, The Netherlands, July 24-28, 2016, 2016)

Combining observational and experimental data to find heterogeneous treatment effects - Alexander Peysakhovich; Akos Lada (CoRR, 2016)

Multi-Agent Cooperation and the Emergence of (Natural) Language - Angeliki Lazaridou; Alexander Peysakhovich; Marco Baroni (CoRR, 2016)

Recency, records and recaps: learning and non-equilibrium behavior in a simple decision problem - Drew Fudenberg; Alexander Peysakhovich (ACM Conference on Economics and Computation, EC '14, Stanford , CA, USA, June 8-12, 2014, 2014)