Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets. - Pier Giuseppe Sessa; Neil Walton; Maryam Kamgarpour (CoRR, 2016)

Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems. - Orcun Karaca; Pier Giuseppe Sessa; Neil Walton; Maryam Kamgarpour (CoRR, 2017)

From Uncertainty Data to Robust Policies for Temporal Logic Planning. - Pier Giuseppe Sessa; Damian Frick; Tony A. Wood; Maryam Kamgarpour (HSCC, 2018)

A Hybrid Dynamic-Kinematic EKF for Train Trajectory Estimation. - Pier Giuseppe Sessa; Valerio De Martinis; Francesco Corman (ITSC, 2018)

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. - Pier Giuseppe Sessa; Maryam Kamgarpour; Andreas Krause 001 (AISTATS, 2019)

No-Regret Learning in Unknown Games with Correlated Payoffs. - Pier Giuseppe Sessa; Ilija Bogunovic; Maryam Kamgarpour; Andreas Krause 001 (NeurIPS, 2019)

Exploiting structure of chance constrained programs via submodularity. - Damian Frick; Pier Giuseppe Sessa; Tony A. Wood; Maryam Kamgarpour (Autom., 2019)

No-Regret Learning from Partially Observed Data in Repeated Auctions. - Orcun Karaca; Pier Giuseppe Sessa; Anna Leidi; Maryam Kamgarpour (CoRR, 2019)

Designing Coalition-Proof Reverse Auctions Over Continuous Goods. - Orcun Karaca; Pier Giuseppe Sessa; Neil Walton; Maryam Kamgarpour (IEEE Trans. Autom. Control., 2019)

Mixed Strategies for Robust Optimization of Unknown Objectives. - Pier Giuseppe Sessa; Ilija Bogunovic; Maryam Kamgarpour; Andreas Krause 001 (AISTATS, 2020)

Contextual Games: Multi-Agent Learning with Side Information. - Pier Giuseppe Sessa; Ilija Bogunovic; Andreas Krause 001; Maryam Kamgarpour (NeurIPS, 2020)

Learning to Play Sequential Games versus Unknown Opponents. - Pier Giuseppe Sessa; Ilija Bogunovic; Maryam Kamgarpour; Andreas Krause 001 (NeurIPS, 2020)

Filtering approaches for online train motion estimation with onboard power measurements. - Pier Giuseppe Sessa; Valerio De Martinis; Francesco Corman (Comput. Aided Civ. Infrastructure Eng., 2020)

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. - Pier Giuseppe Sessa; Ilija Bogunovic; Andreas Krause 001; Maryam Kamgarpour (ICML, 2021)

A hybrid stochastic approach for offline train trajectory reconstruction. - Pier Giuseppe Sessa; Valerio De Martinis; Axel Bomhauer-Beins; Ulrich Alois Weidmann; Francesco Corman (Public Transp., 2021)

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. - Pier Giuseppe Sessa; Maryam Kamgarpour; Andreas Krause 001 (ICML, 2022)

Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. - Shyam Sundhar Ramesh; Pier Giuseppe Sessa; Andreas Krause 001; Ilija Bogunovic (NeurIPS, 2022)

Boosting Search Engines with Interactive Agents. - Leonard Adolphs; Benjamin Börschinger; Christian Buck; Michelle Chen Huebscher; Massimiliano Ciaramita; Lasse Espeholt; Thomas Hofmann 001; Yannic Kilcher; Sascha Rothe; Pier Giuseppe Sessa; Lierni Sestorain (Trans. Mach. Learn. Res., 2022)

Learning and Efficiency in Multi-Agent Systems. - Pier Giuseppe Sessa (2022)

Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. - Pier Giuseppe Sessa; Pierre Laforgue; Nicolò Cesa-Bianchi; Andreas Krause 001 (NeurIPS, 2023)

Model-based Causal Bayesian Optimization. - Scott Sussex; Pier Giuseppe Sessa; Anastasiia Makarova; Andreas Krause 001 (CoRR, 2023)

DockGame: Cooperative Games for Multimeric Rigid Protein Docking. - Vignesh Ram Somnath; Pier Giuseppe Sessa; María Rodríguez Martínez; Andreas Krause 001 (CoRR, 2023)

How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games. - Alessandro Zanardi; Pier Giuseppe Sessa; Nando Käslin; Saverio Bolognani; Andrea Censi; Emilio Frazzoli (IEEE Robotics Autom. Lett., 2023)

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. - Shyam Sundhar Ramesh; Pier Giuseppe Sessa; Yifan Hu; Andreas Krause 001; Ilija Bogunovic (AISTATS, 2024)

Adversarial Causal Bayesian Optimization. - Scott Sussex; Pier Giuseppe Sessa; Anastasia Makarova; Andreas Krause 001 (ICLR, 2024)

Group Robust Preference Optimization in Reward-free RLHF. - Shyam Sundhar Ramesh; Yifan Hu; Iason Chaimalas; Viraj Mehta; Pier Giuseppe Sessa; Haitham Bou-Ammar; Ilija Bogunovic (NeurIPS, 2024)

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. - Aleksandar Botev; Soham De; Samuel L. Smith; Anushan Fernando; George-Cristian Muraru; Ruba Haroun; Leonard Berrada; Razvan Pascanu; Pier Giuseppe Sessa; Robert Dadashi; Léonard Hussenot; Johan Ferret; et al. (CoRR, 2024)

WARP: On the Benefits of Weight Averaged Rewarded Policies. - Alexandre Ramé; Johan Ferret; Nino Vieillard; Robert Dadashi; Léonard Hussenot; Pierre-Louis Cedoz; Pier Giuseppe Sessa; Sertan Girgin; Arthur Douillard; Olivier Bachem (CoRR, 2024)

BOND: Aligning LLMs with Best-of-N Distillation. - Pier Giuseppe Sessa; Robert Dadashi; Léonard Hussenot; Johan Ferret; Nino Vieillard; Alexandre Ramé; Bobak Shahriari; Sarah Perrin; Abe Friesen; Geoffrey Cideron; Sertan Girgin; Piotr Stanczyk; et al. (CoRR, 2024)

Gemma 2: Improving Open Language Models at a Practical Size. - Morgane Rivière; Shreya Pathak; Pier Giuseppe Sessa; Cassidy Hardin; Surya Bhupatiraju; Léonard Hussenot; Thomas Mesnard; Bobak Shahriari; Alexandre Ramé; Johan Ferret; Peter Liu; Pouya Tafti; et al. (CoRR, 2024)

Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design. - Melis Ilayda Bal; Pier Giuseppe Sessa; Mojmir Mutny; Andreas Krause 001 (ICLR, 2025)

BOND: Aligning LLMs with Best-of-N Distillation. - Pier Giuseppe Sessa; Robert Dadashi-Tazehozi; Léonard Hussenot; Johan Ferret; Nino Vieillard; Alexandre Ramé; Bobak Shahriari; Sarah Perrin; Abram L. Friesen; Geoffrey Cideron; Sertan Girgin; Piotr Stanczyk; et al. (ICLR, 2025)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)