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ORCIDAlexander Peysakhovich
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2020 – today
- 2024
[i26]William Berman, Alexander Peysakhovich:
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data. CoRR abs/2406.18790 (2024)- 2023
- [c22]Alexander Peysakhovich
, Christian Kroer, Nicolas Usunier:
Implementing Fairness Constraints in Markets Using Taxes and Subsidies. FAccT 2023: 916-930 - [i25]Alexander Peysakhovich, Rich Caruana, Yin Aphinyanaphongs:
Diagnosis Uncertain Models For Medical Risk Prediction. CoRR abs/2306.17337 (2023) - [i24]Alexander Peysakhovich, Adam Lerer:
Attention Sorting Combats Recency Bias In Long Context Language Models. CoRR abs/2310.01427 (2023) - 2022
- [j5]Christian Kroer, Alexander Peysakhovich, Eric Sodomka, Nicolás E. Stier Moses:
Computing Large Market Equilibria Using Abstractions. Oper. Res. 70(1): 329-351 (2022) - [i23]Leon Yao, Caroline Lo, Israel Nir, Sarah Tan, Ariel Evnine, Adam Lerer, Alex Peysakhovich:
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes. CoRR abs/2206.04907 (2022) - [i22]Alexander Peysakhovich, Christian Kroer, Nicolas Usunier:
Parity in Markets - Methods, Costs, and Consequences. CoRR abs/2210.02586 (2022) - 2021
- [c21]Yuan Gao, Alex Peysakhovich, Christian Kroer:
Online Market Equilibrium with Application to Fair Division. NeurIPS 2021: 27305-27318 - [i21]Yuan Gao, Christian Kroer, Alex Peysakhovich:
Online Market Equilibrium with Application to Fair Division. CoRR abs/2103.12936 (2021) - [i20]Alexander Peysakhovich, Léon Bottou:
An Attract-Repel Decomposition of Undirected Networks. CoRR abs/2106.09671 (2021) - 2020
- [c20]Riley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah:
Robust Market Equilibria with Uncertain Preferences. AAAI 2020: 2192-2199 - [c19]Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster:
"Other-Play" for Zero-Shot Coordination. ICML 2020: 4399-4410 - [c18]Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alexander Peysakhovich, Aldo Pacchiano, Jakob N. Foerster:
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. NeurIPS 2020 - [c17]Tom Yan, Christian Kroer, Alexander Peysakhovich:
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions. NeurIPS 2020 - [i19]Hengyuan Hu, Adam Lerer, Alex Peysakhovich, Jakob N. Foerster:
"Other-Play" for Zero-Shot Coordination. CoRR abs/2003.02979 (2020) - [i18]Tom Yan, Christian Kroer, Alexander Peysakhovich:
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions. CoRR abs/2006.09538 (2020) - [i17]Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob N. Foerster:
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian. CoRR abs/2011.06505 (2020)
2010 – 2019
- 2019
- [j4]Ziv Epstein, Alexander Peysakhovich, David G. Rand:
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. 7(3): 13:1-13:14 (2019) - [c16]Adam Lerer, Alexander Peysakhovich:
Learning Existing Social Conventions via Observationally Augmented Self-Play. AIES 2019: 107-114 - [c15]Alexander Peysakhovich:
Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2. AIES 2019: 409-415 - [c14]Akos Lada, Alexander Peysakhovich, Diego Aparicio, Michael Bailey:
Observational Data for Heterogeneous Treatment Effects with Application to Recommender Systems. EC 2019: 199-213 - [c13]Christian Kroer, Alexander Peysakhovich, Eric Sodomka, Nicolás E. Stier Moses:
Computing Large Market Equilibria using Abstractions. EC 2019: 745-746 - [c12]Arjun Seshadri, Alex Peysakhovich, Johan Ugander:
Discovering Context Effects from Raw Choice Data. ICML 2019: 5660-5669 - [c11]Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alex Peysakhovich:
Pytorch-BigGraph: A Large Scale Graph Embedding System. SysML 2019 - [c10]Alexander Peysakhovich, Christian Kroer, Adam Lerer:
Robust Multi-agent Counterfactual Prediction. NeurIPS 2019: 3077-3087 - [i16]Christian Kroer, Alexander Peysakhovich, Eric Sodomka, Nicolás E. Stier Moses:
Computing large market equilibria using abstractions. CoRR abs/1901.06230 (2019) - [i15]Arjun Seshadri, Alexander Peysakhovich, Johan Ugander:
Discovering Context Effects from Raw Choice Data. CoRR abs/1902.03266 (2019) - [i14]Adam Lerer, Ledell Wu, Jiajun Shen, Timothée Lacroix, Luca Wehrstedt, Abhijit Bose, Alexander Peysakhovich:
PyTorch-BigGraph: A Large-scale Graph Embedding System. CoRR abs/1903.12287 (2019) - [i13]Alexander Peysakhovich, Christian Kroer, Adam Lerer:
Robust Multi-agent Counterfactual Prediction. CoRR abs/1904.02235 (2019) - [i12]Alexander Peysakhovich, Christian Kroer:
Fair Division Without Disparate Impact. CoRR abs/1906.02775 (2019) - [i11]Christian Kroer, Alexander Peysakhovich:
Scalable Fair Division for 'At Most One' Preferences. CoRR abs/1909.10925 (2019) - [i10]Riley Murray, Christian Kroer, Alex Peysakhovich, Parikshit Shah:
Robust Market Equilibria with Uncertain Preferences. CoRR abs/1912.04867 (2019) - 2018
- [c9]Alexander Peysakhovich, Adam Lerer:
Consequentialist Conditional Cooperation in Social Dilemmas with Imperfect Information (Short Workshop Version). AAAI Workshops 2018: 310-316 - [c8]Alexander Peysakhovich, Adam Lerer:
Towards AI that Can Solve Social Dilemmas. AAAI Spring Symposia 2018 - [c7]Alexander Peysakhovich, Adam Lerer:
Prosocial Learning Agents Solve Generalized Stag Hunts Better than Selfish Ones. AAMAS 2018: 2043-2044 - [c6]Alexander Peysakhovich, Adam Lerer:
Consequentialist conditional cooperation in social dilemmas with imperfect information. ICLR (Poster) 2018 - [c5]Alexander Peysakhovich, Dean Eckles:
Learning Causal Effects From Many Randomized Experiments Using Regularized Instrumental Variables. WWW 2018: 699-707 - [i9]Adam Lerer, Alexander Peysakhovich:
Learning Social Conventions in Markov Games. CoRR abs/1806.10071 (2018) - [i8]Cinjon Resnick, Roberta Raileanu, Sanyam Kapoor, Alex Peysakhovich, Kyunghyun Cho, Joan Bruna:
Backplay: "Man muss immer umkehren". CoRR abs/1807.06919 (2018) - [i7]Stephen Ragain, Alexander Peysakhovich, Johan Ugander:
Improving pairwise comparison models using Empirical Bayes shrinkage. CoRR abs/1807.09236 (2018) - [i6]Alexander Peysakhovich:
Reinforcement learning and inverse reinforcement learning with system 1 and system 2. CoRR abs/1811.08549 (2018) - 2017
- [c4]Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni:
Multi-Agent Cooperation and the Emergence of (Natural) Language. ICLR 2017 - [c3]Alexander Peysakhovich, Johan Ugander:
Learning context-dependent preferences from raw data. NetEcon@EC 2017: 8:1 - [i5]Adam Lerer, Alexander Peysakhovich:
Maintaining cooperation in complex social dilemmas using deep reinforcement learning. CoRR abs/1707.01068 (2017) - [i4]Alexander Peysakhovich, Adam Lerer:
Prosocial learning agents solve generalized Stag Hunts better than selfish ones. CoRR abs/1709.02865 (2017) - [i3]Alexander Peysakhovich, Adam Lerer:
Consequentialist conditional cooperation in social dilemmas with imperfect information. CoRR abs/1710.06975 (2017) - 2016
- [j3]Alexander Peysakhovich, David G. Rand:
Habits of Virtue: Creating Norms of Cooperation and Defection in the Laboratory. Manag. Sci. 62(3): 631-647 (2016) - [j2]Alexander Peysakhovich, Uma R. Karmarkar:
Asymmetric Effects of Favorable and Unfavorable Information on Decision Making Under Ambiguity. Manag. Sci. 62(8): 2163-2178 (2016) - [j1]Drew Fudenberg, Alexander Peysakhovich:
Recency, Records, and Recaps: Learning and Nonequilibrium Behavior in a Simple Decision Problem. ACM Trans. Economics and Comput. 4(4): 23:1-23:18 (2016) - [c2]Ziv Epstein, Alexander Peysakhovich, David G. Rand:
The Good, the Bad, and the Unflinchingly Selfish: Cooperative Decision-Making can be Predicted with high Accuracy when using only Three Behavioral Types. EC 2016: 547-559 - [i2]Alexander Peysakhovich, Akos Lada:
Combining observational and experimental data to find heterogeneous treatment effects. CoRR abs/1611.02385 (2016) - [i1]Angeliki Lazaridou, Alexander Peysakhovich, Marco Baroni:
Multi-Agent Cooperation and the Emergence of (Natural) Language. CoRR abs/1612.07182 (2016) - 2014
- [c1]Drew Fudenberg, Alexander Peysakhovich:
Recency, records and recaps: learning and non-equilibrium behavior in a simple decision problem. EC 2014: 971-986
Coauthor Index
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