← Authors

Yoram Bachrach

20 papers · 2013–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (33) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ƒοΈ Keyword Collector (68) πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (9) πŸš€ Conference Pioneer

Conferences

IJCAI (9) NIPS (4) ACL (2) NAACL (2) AAAI (1) AISTATS (1) ICML (1)

Top co-authors

Ian Gemp (5) Marta Garnelo (4) Yair Zick (4) Thore Graepel (4) Tom Eccles (3) Yoad Lewenberg (3) David Balduzzi (2) Wojciech Czarnecki (2) Julien PΓ©rolat (2) Omer Lev (2)

Keywords

game theory (4) multi-agent system (4) neural network (3) shapley value (2) deep reinforcement learning (2) cooperative game theory (2) decision making (1) bayesian inference (1) multi-agent reinforcement learning (1) code generation (1) adversarial training (1) ai safety (1) continuous optimization (1) agent communication (1) preference elicitation (1) named entity recognition (1) machine learning (1) policy iteration (1) uncertainty quantification (1) nash equilibrium (1)

Papers

Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling IJCAI 2025
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games IJCAI 2025
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples NIPS 2023
Role of Human-AI Interaction in Selective Prediction AAAI 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members NIPS 2022
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index NAACL 2021
A Neural Network Auction For Group Decision Making Over a Continuous Space IJCAI 2021
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets AISTATS 2021
Learning to Play No-Press Diplomacy with Best Response Policy Iteration NIPS 2020
Biases for Emergent Communication in Multi-agent Reinforcement Learning NIPS 2019
Open-ended learning in symmetric zero-sum games ICML 2019
Named Entity Recognition With Parallel Recurrent Neural Networks ACL 2018
How to Form Winning Coalitions in Mixed Human-Computer Settings IJCAI 2017
Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information IJCAI 2016
A Characterization of Voting Power for Discrete Weight Distributions IJCAI 2016
Misrepresentation in District Voting IJCAI 2016
Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast ACL 2016
Non-Myopic Negotiators See What's Best IJCAI 2015
Social Media Predictive Analytics NAACL 2015
Agent Failures in All-Pay Auctions IJCAI 2013