Alexander Peysakhovich

43 papers A* 8A 1C 2Journal 26Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MONET - Virtual Cell Painting of Brightfield Images and Time Lapses Using Reference Consistent Diffusion. CoRR Alexander Peysakhovich, William Berman, Joseph Rufo, Felix Wong, Maxwell Z. Wilson
2024	J	`jnl`	MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data. CoRR William Berman, Alexander Peysakhovich
2023	J	`jnl`	Attention Sorting Combats Recency Bias In Long Context Language Models. CoRR Alexander Peysakhovich, Adam Lerer
2023	J	`jnl`	Diagnosis Uncertain Models For Medical Risk Prediction. CoRR Alexander Peysakhovich, Rich Caruana, Yin Aphinyanaphongs
2023	—	`conf`	Implementing Fairness Constraints in Markets Using Taxes and Subsidies. FAccT Alexander Peysakhovich, Christian Kroer, Nicolas Usunier
2022	J	`jnl`	Computing Large Market Equilibria Using Abstractions. Oper. Res. Christian Kroer, Alexander Peysakhovich, Eric Sodomka, Nicolás E. Stier Moses
2022	J	`jnl`	Parity in Markets - Methods, Costs, and Consequences. CoRR Alexander Peysakhovich, Christian Kroer, Nicolas Usunier
2021	J	`jnl`	An Attract-Repel Decomposition of Undirected Networks. CoRR Alexander Peysakhovich, Léon Bottou
2020	A*	`conf`	Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions. NeurIPS Tom Yan, Christian Kroer, Alexander Peysakhovich
2020	J	`jnl`	Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions. CoRR Tom Yan, Christian Kroer, Alexander Peysakhovich
2020	A*	`conf`	Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. NeurIPS Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob N. Foerster
2019	A*	`conf`	Computing Large Market Equilibria using Abstractions. EC Christian Kroer, Alexander Peysakhovich, Eric Sodomka, Nicolás E. Stier Moses
2019	J	`jnl`	Computing large market equilibria using abstractions. CoRR Christian Kroer, Alexander Peysakhovich, Eric Sodomka, Nicolás E. Stier Moses
2019	J	`jnl`	Discovering Context Effects from Raw Choice Data. CoRR Arjun Seshadri, Alexander Peysakhovich, Johan Ugander
2019	J	`jnl`	Fair Division Without Disparate Impact. CoRR Alexander Peysakhovich, Christian Kroer
2019	C	`conf`	Learning Existing Social Conventions via Observationally Augmented Self-Play. AIES Adam Lerer, Alexander Peysakhovich
2019	A*	`conf`	Observational Data for Heterogeneous Treatment Effects with Application to Recommender Systems. EC Akos Lada, Alexander Peysakhovich, Diego Aparicio, Michael Bailey
2019	J	`jnl`	PyTorch-BigGraph: A Large-scale Graph Embedding System. CoRR Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alexander Peysakhovich
2019	C	`conf`	Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2. AIES Alexander Peysakhovich
2019	A*	`conf`	Robust Multi-agent Counterfactual Prediction. NeurIPS Alexander Peysakhovich, Christian Kroer, Adam Lerer
2019	J	`jnl`	Robust Multi-agent Counterfactual Prediction. CoRR Alexander Peysakhovich, Christian Kroer, Adam Lerer
2019	J	`jnl`	Scalable Fair Division for 'At Most One' Preferences. CoRR Christian Kroer, Alexander Peysakhovich
2019	J	`jnl`	The Good, the Bad, and the Unflinchingly Selfish: Pro-sociality can be Well Predicted Using Payoffs and Three Behavioral Types. ACM Trans. Economics and Comput. Ziv Epstein, Alexander Peysakhovich, David G. Rand
2018	—	`conf`	Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version). AAAI Workshops Alexander Peysakhovich, Adam Lerer
2018	—	`conf`	Consequentialist conditional cooperation in social dilemmas with imperfect information. ICLR (Poster) Alexander Peysakhovich, Adam Lerer
2018	J	`jnl`	Improving pairwise comparison models using Empirical Bayes shrinkage. CoRR Stephen Ragain, Alexander Peysakhovich, Johan Ugander
2018	A*	`conf`	Learning Causal Effects From Many Randomized Experiments Using Regularized Instrumental Variables. WWW Alexander Peysakhovich, Dean Eckles
2018	J	`jnl`	Learning Social Conventions in Markov Games. CoRR Adam Lerer, Alexander Peysakhovich
2018	A	`conf`	Prosocial Learning Agents Solve Generalized Stag Hunts Better than Selfish Ones. AAMAS Alexander Peysakhovich, Adam Lerer
2018	J	`jnl`	Reinforcement learning and inverse reinforcement learning with system 1 and system 2. CoRR Alexander Peysakhovich
2018	—	`conf`	Towards AI that Can Solve Social Dilemmas. AAAI Spring Symposia Alexander Peysakhovich, Adam Lerer
2017	J	`jnl`	Consequentialist conditional cooperation in social dilemmas with imperfect information. CoRR Alexander Peysakhovich, Adam Lerer
2017	—	`conf`	Learning context-dependent preferences from raw data. NetEcon@EC Alexander Peysakhovich, Johan Ugander
2017	J	`jnl`	Maintaining cooperation in complex social dilemmas using deep reinforcement learning. CoRR Adam Lerer, Alexander Peysakhovich
2017	—	`conf`	Multi-Agent Cooperation and the Emergence of (Natural) Language. ICLR Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni
2017	J	`jnl`	Prosocial learning agents solve generalized Stag Hunts better than selfish ones. CoRR Alexander Peysakhovich, Adam Lerer
2016	J	`jnl`	Asymmetric Effects of Favorable and Unfavorable Information on Decision Making Under Ambiguity. Manag. Sci. Alexander Peysakhovich, Uma R. Karmarkar
2016	J	`jnl`	Combining observational and experimental data to find heterogeneous treatment effects. CoRR Alexander Peysakhovich, Akos Lada
2016	J	`jnl`	Habits of Virtue: Creating Norms of Cooperation and Defection in the Laboratory. Manag. Sci. Alexander Peysakhovich, David G. Rand
2016	J	`jnl`	Multi-Agent Cooperation and the Emergence of (Natural) Language. CoRR Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni
2016	J	`jnl`	Recency, Records, and Recaps: Learning and Nonequilibrium Behavior in a Simple Decision Problem. ACM Trans. Economics and Comput. Drew Fudenberg, Alexander Peysakhovich
2016	A*	`conf`	The Good, the Bad, and the Unflinchingly Selfish: Cooperative Decision-Making can be Predicted with high Accuracy when using only Three Behavioral Types. EC Ziv Epstein, Alexander Peysakhovich, David G. Rand
2014	A*	`conf`	Recency, records and recaps: learning and non-equilibrium behavior in a simple decision problem. EC Drew Fudenberg, Alexander Peysakhovich