Dynamic Subtrees Queries Revisited: The Depth First Tour Tree. - Gabriele Farina; Luigi Laura (IWOCA, 2015)

A linear time algorithm to compute the impact of all the articulation points. - Gabriele Farina (CoRR, 2015)

Dynamic subtrees queries revised: the Depth First Tour Tree. - Gabriele Farina; Luigi Laura (CoRR, 2015)

Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication. - Massimo Cairo; Gabriele Farina; Romeo Rizzi (AAAI, 2016)

Ad Auctions and Cascade Model: GSP Inefficiency and Algorithms. - Gabriele Farina; Nicola Gatti 001 (AAAI, 2016)

Extensive-Form Perfect Equilibrium Computation in Two-Player Games. - Gabriele Farina; Nicola Gatti 001 (AAAI, 2017)

Inter-Club Kidney Exchange. - Gabriele Farina; John P. Dickerson; Tuomas Sandholm (AAAI Workshops, 2017)

Regret Minimization in Behaviorally-Constrained Zero-Sum Games. - Gabriele Farina; Christian Kroer; Tuomas Sandholm (ICML, 2017)

Operation Frames and Clubs in Kidney Exchange. - Gabriele Farina; John P. Dickerson; Tuomas Sandholm (IJCAI, 2017)

Smoothing Method for Approximate Extensive-Form Perfect Equilibrium. - Christian Kroer; Gabriele Farina; Tuomas Sandholm (IJCAI, 2017)

Adopting the Cascade Model in Ad Auctions: Efficiency Bounds and Truthful Algorithmic Mechanisms. - Gabriele Farina; Nicola Gatti 001 (J. Artif. Intell. Res., 2017)

Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead. - Christian Kroer; Gabriele Farina; Tuomas Sandholm (AAAI, 2018)

Trembling-Hand Perfection in Extensive-Form Games with Commitment. - Gabriele Farina; Alberto Marchesi 001; Christian Kroer; Nicola Gatti 001; Tuomas Sandholm (IJCAI, 2018)

Practical exact algorithm for trembling-hand equilibrium refinements in games. - Gabriele Farina; Nicola Gatti 001; Tuomas Sandholm (NeurIPS, 2018)

Ex ante coordination and collusion in zero-sum multi-player extensive-form games. - Gabriele Farina; Andrea Celli; Nicola Gatti 001; Tuomas Sandholm (NeurIPS, 2018)

Solving Large Sequential Games with the Excessive Gap Technique. - Christian Kroer; Gabriele Farina; Tuomas Sandholm (NeurIPS, 2018)

Composability of Regret Minimizers. - Gabriele Farina; Christian Kroer; Tuomas Sandholm (CoRR, 2018)

Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games. - Gabriele Farina; Christian Kroer; Tuomas Sandholm (AAAI, 2019)

Quasi-Perfect Stackelberg Equilibrium. - Alberto Marchesi 001; Gabriele Farina; Christian Kroer; Nicola Gatti 001; Tuomas Sandholm (AAAI, 2019)

A Theoretical and Algorithmic Analysis of Configurable MDPs. - Rui Silva; Gabriele Farina; Francisco S. Melo; Manuela Veloso (ICAPS, 2019)

Stable-Predictive Optimistic Counterfactual Regret Minimization. - Gabriele Farina; Christian Kroer; Noam Brown; Tuomas Sandholm (ICML, 2019)

Regret Circuits: Composability of Regret Minimizers. - Gabriele Farina; Christian Kroer; Tuomas Sandholm (ICML, 2019)

Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions. - Gabriele Farina; Christian Kroer; Tuomas Sandholm (NeurIPS, 2019)

Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. - Gabriele Farina; Chun Kai Ling; Fei Fang 001; Tuomas Sandholm (NeurIPS, 2019)

Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. - Gabriele Farina; Chun Kai Ling; Fei Fang 001; Tuomas Sandholm (NeurIPS, 2019)

Coarse Correlation in Extensive-Form Games. - Gabriele Farina; Tommaso Bianchi; Tuomas Sandholm (AAAI, 2020)

Stochastic Regret Minimization in Extensive-Form Games. - Gabriele Farina; Christian Kroer; Tuomas Sandholm (ICML, 2020)

No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. - Andrea Celli; Alberto Marchesi 001; Gabriele Farina; Nicola Gatti 001 (NeurIPS, 2020)

Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond. - Gabriele Farina; Tuomas Sandholm (NeurIPS, 2020)

No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria. - Andrea Celli; Alberto Marchesi 001; Gabriele Farina; Nicola Gatti 001 (CoRR, 2020)

Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games. - Gabriele Farina; Andrea Celli; Nicola Gatti 001; Tuomas Sandholm (CoRR, 2020)

Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent. - Gabriele Farina; Christian Kroer; Tuomas Sandholm (AAAI, 2021)

Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games. - Gabriele Farina; Tuomas Sandholm (AAAI, 2021)

Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. - Gabriele Farina; Robin Schmucker; Tuomas Sandholm (AAAI, 2021)

Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results. - Gabriele Farina; Andrea Celli; Nicola Gatti 001; Tuomas Sandholm (ICML, 2021)

Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract). - Andrea Celli; Alberto Marchesi 001; Gabriele Farina; Nicola Gatti 001 (IJCAI, 2021)

Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium. - Gabriele Farina; Tuomas Sandholm (NeurIPS, 2021)

Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria. - Gabriele Farina; Christian Kroer; Tuomas Sandholm (EC, 2021)

Efficient Decentralized Learning Dynamics for Extensive-Form Coarse Correlated Equilibrium: No Expensive Computation of Stationary Distributions Required. - Gabriele Farina; Andrea Celli; Tuomas Sandholm (CoRR, 2021)

Modeling Strong and Human-Like Gameplay with KL-Regularized Search. - Athul Paul Jacob; David J. Wu 002; Gabriele Farina; Adam Lerer; Anton Bakhtin; Jacob Andreas; Noam Brown (CoRR, 2021)

Combination treatment optimization using a pan-cancer pathway model. - Robin Schmucker; Gabriele Farina; James R. Faeder; Fabian Fröhlich; Ali Sinan Saglam; Tuomas Sandholm (PLoS Comput. Biol., 2021)

Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games. - Gabriele Farina; Tuomas Sandholm (AAAI, 2022)

On Last-Iterate Convergence Beyond Zero-Sum Games. - Ioannis Anagnostides; Ioannis Panageas; Gabriele Farina; Tuomas Sandholm (ICML, 2022)

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)

Modeling Strong and Human-Like Gameplay with KL-Regularized Search. - Athul Paul Jacob; David J. Wu 002; Gabriele Farina; Adam Lerer; Hengyuan Hu; Anton Bakhtin; Jacob Andreas; Noam Brown (ICML, 2022)

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 (NeurIPS, 2022)

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)

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)

Subgame Solving in Adversarial Team Games. - Brian Hu Zhang; Luca Carminati; Federico Cacciamani; Gabriele Farina; Pierriccardo Olivieri; Nicola Gatti 001; Tuomas Sandholm (NeurIPS, 2022)

Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria. - Ioannis Anagnostides; Gabriele Farina; Christian Kroer; Andrea Celli; Tuomas Sandholm (EC, 2022)

Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation. - Brian Hu Zhang; Gabriele Farina; Andrea Celli; Tuomas Sandholm (EC, 2022)

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 (STOC, 2022)

Team Belief DAG Form: A Concise Representation for Team-Correlated Game-Theoretic Decision Making. - Brian Hu Zhang; Gabriele Farina; Tuomas Sandholm (CoRR, 2022)

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 (CoRR, 2022)

Near-Optimal No-Regret Learning for General Convex Games. - Gabriele Farina; Ioannis Anagnostides; Haipeng Luo; Chung-Wei Lee; Christian Kroer; Tuomas Sandholm (CoRR, 2022)

Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games. - Gabriele Farina; Christian Kroer; Chung-Wei Lee; Haipeng Luo (CoRR, 2022)

Simple Uncoupled No-regret Learning Dynamics for Extensive-form Correlated Equilibrium. - Gabriele Farina; Andrea Celli; Alberto Marchesi 001; Nicola Gatti 001 (J. ACM, 2022)

A Multi-Modal Analysis of the Freezing of Gait Phenomenon in Parkinson's Disease. - Luca Mesin; Paola Porcu; Debora Russu; Gabriele Farina; Luigi Borzì; Wei Zhang; Yuzhu Guo; Gabriella Olmo (Sensors, 2022)

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. - Anton Bakhtin; David J. Wu 002; Adam Lerer; Jonathan Gray; Athul Paul Jacob; Gabriele Farina; Alexander H. Miller; Noam Brown (ICLR, 2023)

Meta-Learning in Games. - Keegan Harris; Ioannis Anagnostides; Gabriele Farina; Mikhail Khodak; Steven Wu 001; Tuomas Sandholm (ICLR, 2023)

ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. - Stephen Marcus McAleer; Gabriele Farina; Marc Lanctot; Tuomas Sandholm (ICLR, 2023)

Near-Optimal Φ-Regret Learning in Extensive-Form Games. - Ioannis Anagnostides; Gabriele Farina; Tuomas Sandholm (ICML, 2023)

Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization. - Brian Hu Zhang; Gabriele Farina; Tuomas Sandholm (ICML, 2023)

On the Convergence of No-Regret Learning Dynamics in Time-Varying Games. - Ioannis Anagnostides; Ioannis Panageas; Gabriele Farina; Tuomas Sandholm (NeurIPS, 2023)

Regret Matching+: (In)Stability and Fast Convergence in Games. - Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo (NeurIPS, 2023)

Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games. - Gabriele Farina; Charilaos Pipis (NeurIPS, 2023)

Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning. - Stephen McAleer; Gabriele Farina; Gaoyue Zhou; Mingzhi Wang; Yaodong Yang 001; Tuomas Sandholm (NeurIPS, 2023)

Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. - Brian Hu Zhang; Gabriele Farina; Ioannis Anagnostides; Federico Cacciamani; Stephen McAleer; Andreas A. Haupt; Andrea Celli; Nicola Gatti 001; Vincent Conitzer; Tuomas Sandholm (NeurIPS, 2023)

Steering No-Regret Learners to Optimal Equilibria. - Brian Hu Zhang; Gabriele Farina; Ioannis Anagnostides; Federico Cacciamani; Stephen Marcus McAleer; Andreas Alexander Haupt; Andrea Celli; Nicola Gatti 001; Vincent Conitzer; Tuomas Sandholm (CoRR, 2023)

Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Extensive-Form Games. - Brian Hu Zhang; Gabriele Farina; Tuomas Sandholm (CoRR, 2023)

Game-Theoretic Decision Making in Imperfect-Information Games - Gabriele Farina (2023)

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 (AAAI, 2024)

Efficient Learning in Polyhedral Games via Best-Response Oracles. - Darshan Chakrabarti; Gabriele Farina; Christian Kroer (AAAI, 2024)

Contested Logistics: A Game-Theoretic Approach. - Jakub Cerný; Chun Kai Ling; Darshan Chakrabarti; Jingwen Zhang; Gabriele Farina; Christian Kroer; Garud Iyengar (GameSec, 2024)

The Consensus Game: Language Model Generation via Equilibrium Search. - Athul Paul Jacob; Yikang Shen; Gabriele Farina; Jacob Andreas (ICLR, 2024)

The Update-Equivalence Framework for Decision-Time Planning. - Samuel Sokota; Gabriele Farina; David J. Wu 002; Hengyuan Hu; Kevin A. Wang; J. Zico Kolter; Noam Brown (ICLR, 2024)

Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games. - Brian Hu Zhang; Gabriele Farina; Tuomas Sandholm (ICLR, 2024)

Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning. - Athul Paul Jacob; Gabriele Farina; Jacob Andreas (NAACL-HLT, 2024)

Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms. - Yang Cai 001; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng (NeurIPS, 2024)

On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games. - Zhiyuan Fan; Christian Kroer; Gabriele Farina (NeurIPS, 2024)

Polynomial-Time Computation of Exact $ Phi$-Equilibria in Polyhedral Games. - Gabriele Farina; Charilaos Pipis (NeurIPS, 2024)

Efficient $ Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games. - Brian Hu Zhang; Ioannis Anagnostides; Gabriele Farina; Tuomas Sandholm (NeurIPS, 2024)

Hidden-Role Games: Equilibrium Concepts and Computation. - Luca Carminati; Brian Hu Zhang; Gabriele Farina; Nicola Gatti 001; Tuomas Sandholm (EC, 2024)

Steering No-Regret Learners to a Desired Equilibrium. - Brian Hu Zhang; Gabriele Farina; Ioannis Anagnostides; Federico Cacciamani; Stephen McAleer; Andreas A. Haupt; Andrea Celli; Nicola Gatti 001; Vincent Conitzer; Tuomas Sandholm (EC, 2024)

Efficient Φ-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games. - Brian Hu Zhang; Ioannis Anagnostides; Gabriele Farina; Tuomas Sandholm (CoRR, 2024)

Polynomial-Time Computation of Exact Φ-Equilibria in Polyhedral Games. - Gabriele Farina; Charilaos Pipis (CoRR, 2024)

A Lower Bound on Swap Regret in Extensive-Form Games. - Constantinos Daskalakis; Gabriele Farina; Noah Golowich; Tuomas Sandholm; Brian Hu Zhang (CoRR, 2024)

LiteEFG: An Efficient Python Library for Solving Extensive-form Games. - Mingyang Liu; Gabriele Farina; Asuman E. Ozdaglar (CoRR, 2024)

A Policy-Gradient Approach to Solving Imperfect-Information Games with Iterate Convergence. - Mingyang Liu; Gabriele Farina; Asuman E. Ozdaglar (CoRR, 2024)

On the Role of Constraints in the Complexity of Min-Max Optimization. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Gabriele Farina (CoRR, 2024)

Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries. - Arnab Maiti; Zhiyuan Fan; Kevin G. Jamieson; Lillian J. Ratliff; Gabriele Farina (COLT, 2025)

Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. - Yang Cai 001; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng (ICLR, 2025)

A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence. - Mingyang Liu; Gabriele Farina; Asuman E. Ozdaglar (ICLR, 2025)

Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games. - Ashkan Soleymani; Georgios Piliouras; Gabriele Farina (EC, 2025)

Learning and Computation of Φ-Equilibria at the Frontier of Tractability. - Brian Hu Zhang; Ioannis Anagnostides; Emanuel Tewolde; Ratip Emin Berker; Gabriele Farina; Vincent Conitzer; Tuomas Sandholm (EC, 2025)

Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games. - Constantinos Daskalakis; Gabriele Farina; Maxwell Fishelson; Charilaos Pipis; Jon Schneider (STOC, 2025)

Faster Rates for No-Regret Learning in General Games via Cautious Optimism. - Ashkan Soleymani; Georgios Piliouras; Gabriele Farina (STOC, 2025)

A simple method for the enhancement of river bathymetry in LiDAR DEM. - Gabriele Farina; Marco Pilotti; Luca Milanesi; Giulia Valerio (Environ. Model. Softw., 2025)

Reevaluating Policy Gradient Methods for Imperfect-Information Games. - Max Rudolph; Nathan Lichtle; Sobhan Mohammadpour; Alexandre M. Bayen; J. Zico Kolter; Amy Zhang 001; Gabriele Farina; Eugene Vinitsky; Samuel Sokota (CoRR, 2025)

Expected Variational Inequalities. - Brian Hu Zhang; Ioannis Anagnostides; Emanuel Tewolde; Ratip Emin Berker; Gabriele Farina; Vincent Conitzer; Tuomas Sandholm (CoRR, 2025)

On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games. - Yang Cai 001; Gabriele Farina; Julien Grand-Clément; Christian Kroer; Chung-Wei Lee; Haipeng Luo; Weiqiang Zheng (CoRR, 2025)

Differentially Private Equilibrium Finding in Polymatrix Games. - Mingyang Liu; Gabriele Farina; Asuman E. Ozdaglar (CoRR, 2025)

A Polynomial-Time Algorithm for Variational Inequalities under the Minty Condition. - Ioannis Anagnostides; Gabriele Farina; Tuomas Sandholm; Brian Hu Zhang (CoRR, 2025)

UFT: Unifying Supervised and Reinforcement Fine-Tuning. - Mingyang Liu; Gabriele Farina; Asuman E. Ozdaglar (CoRR, 2025)

The Complexity of Correlated Equilibria in Generalized Games. - Martino Bernasconi; Matteo Castiglioni; Andrea Celli; Gabriele Farina (CoRR, 2025)