Sessa, Pier Giuseppe

16 publications

ICLR 2025 BOND: Aligning LLMs with Best-of-N Distillation Pier Giuseppe Sessa, Robert Dadashi-Tazehozi, Leonard Hussenot, Johan Ferret, Nino Vieillard, Alexandre Rame, Bobak Shahriari, Sarah Perrin, Abram L. Friesen, Geoffrey Cideron, Sertan Girgin, Piotr Stanczyk, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amélie Héliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem

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

ICLR 2024 Adversarial Causal Bayesian Optimization Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause

NeurIPS 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

NeurIPSW 2023 Distributionally Robust Model-Based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic

NeurIPS 2023 Multitask Learning with No Regret: From Improved Confidence Bounds to Active Learning Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause

NeurIPSW 2023 Optimistic Games for Combinatorial Bayesian Optimization with Applications to Protein Design Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause

TMLR 2022 Boosting Search Engines with Interactive Agents Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain

ICML 2022 Efficient Model-Based Multi-Agent Reinforcement Learning via Optimistic Equilibrium Computation Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause

NeurIPS 2022 Movement Penalized Bayesian Optimization with Application to Wind Energy Systems Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic

ICML 2021 Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour

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

NeurIPS 2020 Learning to Play Sequential Games Versus Unknown Opponents Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

AISTATS 2020 Mixed Strategies for Robust Optimization of Unknown Objectives Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

AISTATS 2019 Bounding Inefficiency of Equilibria in Continuous Actions Games Using Submodularity and Curvature Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause

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