Gabriele Farina - Publications

Published research

2024

ICLR 2024 (to appear)	The Consensus Game: Language Model Generation via Equilibrium Search Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas Spotlight paper
ICLR 2024 (to appear)	Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games Brian H. Zhang, Gabriele Farina, Tuomas Sandholm
ICLR 2024 (to appear)	The Update Equivalence Framework for Decision-Time Planning Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
AAAI 2024 pdf	Efficient Online Learning on Polytopes with Linear Minimization Oracles Darshan Chakrabarti, Gabriele Farina, Christian Kroer
AAAI 2024 pdf	Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm

2023

NeurIPS 2023 pdf	Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games Gabriele Farina, Charilaos Pipis
NeurIPS 2023 pdf	Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games Brian H. Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
NeurIPS 2023 pdf	Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning Stephen McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang, Tuomas Sandholm
NeurIPS 2023 pdf	Regret Matching$^+$: (In)Stability and Fast Convergence in Games Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo Spotlight paper
NeurIPS 2023 pdf	On the Convergence of No-Regret Learning Dynamics in Time-Varying Games Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
ICML 2023 pdf	Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization Brian H. Zhang, Gabriele Farina, Tuomas Sandholm
ICML 2023 pdf	Near-Optimal $\Phi$-Regret Learning in Extensive-Form Games Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm
ICLR 2023 pdf	Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown Outstanding Paper Honorable Mention Selected as “Notable-top-5%”
ICLR 2023 pdf	Meta-Learning in Games Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm
ICLR 2023 pdf	ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret Stephen McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm

2022

J. ACM 2022 pdf	Simple Uncoupled No-regret Learning Dynamics for Extensive-form Correlated Equilibrium Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti
Science 2022 link	Human-level play in the game of Diplomacy by combining language models with strategic reasoning Meta Fundamental AI Research Diplomacy Team (FAIR)
NeurIPS 2022 pdf	Near-Optimal No-Regret Learning Dynamics for General Convex Games Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm
NeurIPS 2022 pdf	Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm
NeurIPS 2022 pdf	Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Tuomas Sandholm Oral presentation
NeurIPS 2022 pdf	Subgame Solving in Adversarial Team Games Brian H. Zhang, Luca Carminati, Federico Cacciamani, Gabriele Farina, Pierriccardo Olivieri, Nicola Gatti, Tuomas Sandholm
ICML 2022 pdf	Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games Gabriele Farina, Chung-Wei Lee, Haipeng Luo, Christian Kroer
ICML 2022 pdf	Modeling Strong and Human-Like Gameplay with KL-Regularized Search Athul Paul Jacob, David J. Wu, Gabriele Farina*, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown
ICML 2022 pdf	On Last-Iterate Convergence Beyond Zero-Sum Games Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
EC 2022 pdf	Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation Brian H. Zhang, Gabriele Farina, Andrea Celli, Tuomas Sandholm
EC 2022 pdf	Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibrium Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Andrea Celli, Tuomas Sandholm
STOC 2022 pdf	Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Noah Golowich, Tuomas Sandholm
AAAI 2022 pdf	Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games Gabriele Farina, Tuomas Sandholm

2021

NeurIPS 2021 pdf	Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium Gabriele Farina, Tuomas Sandholm
EC 2021 pdf	Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria Gabriele Farina, Christian Kroer, Tuomas Sandholm
ICML 2021 pdf	Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm
AAAI 2021 pdf	Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent Gabriele Farina, Christian Kroer, Tuomas Sandholm
AAAI 2021 pdf	Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games Gabriele Farina, Tuomas Sandholm
AAAI 2021 pdf	Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games Gabriele Farina, Robin Schmucker, Tuomas Sandholm

2020

NeurIPS 2020 pdf	No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti Best paper award*
NeurIPS 2020 pdf	Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond Gabriele Farina, Tuomas Sandholm
ICML 2020 pdf	Stochastic Regret Minimization in Extensive-Form Games Gabriele Farina, Christian Kroer, Tuomas Sandholm
AAAI 2020 pdf	Coarse Correlation in Extensive-Form Games Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm

2019

NeurIPS 2019 pdf	Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm Spotlight paper
NeurIPS 2019 pdf	Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions Gabriele Farina, Christian Kroer, Tuomas Sandholm
NeurIPS 2019 pdf	Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
ICML 2019 pdf	Regret Circuits: Composability of Regret Minimizers Gabriele Farina, Christian Kroer, Tuomas Sandholm Long presentation
ICML 2019 pdf	Stable-Predictive Optimistic Counterfactual Regret Minimization Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm
AAAI 2019 pdf	Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games Gabriele Farina, Christian Kroer, Tuomas Sandholm
AAAI 2019 pdf	Quasi-Perfect Stackelberg Equilibrium Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm

2018

NeurIPS 2018 pdf	Ex Ante Coordination and Collusion in Zero-Sum Multi-Player Extensive-Form Games Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm
NeurIPS 2018 pdf	Practical Exact Algorithm for Trembling-Hand Equilibrium Refinements in Games Gabriele Farina, Nicola Gatti, Tuomas Sandholm
NeurIPS 2018 pdf	Solving Large Sequential Games with the Excessive Gap Technique Christian Kroer, Gabriele Farina, Tuomas Sandholm Spotlight paper
IJCAI 2018 pdf	Trembling-Hand Perfection in Extensive-Form Games with Commitment Gabriele Farina, Alberto Marchesi, Christian Kroer, Nicola Gatti, Tuomas Sandholm
AAAI 2018 pdf	Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead Christian Kroer, Gabriele Farina, Tuomas Sandholm

2017

ICML 2017 pdf	Regret Minimization in Behaviorally-Constrained Zero-Sum Games Gabriele Farina, Christian Kroer, Tuomas Sandholm
IJCAI 2017 pdf	Smoothing Method for Approximate Extensive-Form Perfect Equilibrium Christian Kroer, Gabriele Farina, Tuomas Sandholm
IJCAI 2017 pdf	Operation Frames and Clubs in Kidney Exchange Gabriele Farina, John P. Dickerson, Tuomas Sandholm
JAIR 2017 pdf	Adopting the cascade model in ad auctions: efficiency bounds and truthful algorithmic mechanisms Gabriele Farina, Nicola Gatti
American Transplant Congress 2017	A Novel KPD Mechanism to Increase Transplants When Some Candidates Have Multiple Willing Donors Tuomas Sandholm, Gabriele Farina, John P. Dickerson, Ruthanne Leishman, Darren Stewart, Richard Formica, Carrie Thiessen, Sanjay Kulkarni
AAAI 2017 pdf	Extensive-Form Perfect Equilibrium Computation in Two-Player Games Gabriele Farina, Nicola Gatti

2016

AAAI 2016 pdf	Decoding Hidden Markov Models Faster than Viterbi Via Online Matrix-Vector $(\max, +)$-Multiplication Massimo Cairo, Gabriele Farina, Romeo Rizzi
AAAI 2016 pdf	Ad Auctions and Cascade Model: GSP Inefficiency and Algorithms Gabriele Farina, Nicola Gatti

Dissertation

PhD Thesis
pdf

Game-Theoretic Decision Making in Imperfect-Information Games: Learning Dynamics, Equilibrium Computation, and Complexity Gabriele Farina CMU SCS Dissertation award

Refereed workshop papers

See my CV for a complete list.

Publications

With my research, I seek to provide solid theoretical and algorithmic foundations for computational, strategic (i.e., game-theoretic) decision-making under imperfect information. To achieve that, I combine and advance techniques and notions of strategicness from game theory together with modern tools from machine learning (especially online learning), optimization, and statistics.

About me

Want to get in touch? Email me at
gfarina AT mit.edu.