Pier Giuseppe Sessa

43 papers A* 11A 3Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	BOND: Aligning LLMs with Best-of-N Distillation. ICLR 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, Andrea Michi, Danila Sinopalnikov, Sabela Ramos Garea, Amélie Héliou, Aliaksei Severyn, Matthew Hoffman, Nikola Momchev, Olivier Bachem
2025	A*	`conf`	Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design. ICLR Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause
2024	A*	`conf`	Adversarial Causal Bayesian Optimization. ICLR Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause
2024	J	`jnl`	BOND: Aligning LLMs with Best-of-N Distillation. CoRR 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, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem
2024	A	`conf`	Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. AISTATS Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic
2024	A*	`conf`	Group Robust Preference Optimization in Reward-free RLHF. NeurIPS Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou-Ammar, Ilija Bogunovic
2024	J	`jnl`	Group Robust Preference Optimization in Reward-free RLHF. CoRR Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou-Ammar, Ilija Bogunovic
2024	J	`jnl`	Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design. CoRR Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause
2024	J	`jnl`	RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR 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, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz Gustavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas
2024	J	`jnl`	WARP: On the Benefits of Weight Averaged Rewarded Policies. CoRR Alexandre Ramé, Johan Ferret, Nino Vieillard, Robert Dadashi, Léonard Hussenot, Pierre-Louis Cedoz, Pier Giuseppe Sessa, Sertan Girgin, Arthur Douillard, Olivier Bachem
2023	J	`jnl`	Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. CoRR Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic
2023	J	`jnl`	DockGame: Cooperative Games for Multimeric Rigid Protein Docking. CoRR Vignesh Ram Somnath, Pier Giuseppe Sessa, María Rodríguez Martínez, Andreas Krause
2023	J	`jnl`	How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games. IEEE Robotics Autom. Lett. Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin, Saverio Bolognani, Andrea Censi, Emilio Frazzoli
2023	J	`jnl`	Model-based Causal Bayesian Optimization. CoRR Scott Sussex, Pier Giuseppe Sessa, Anastasiia Makarova, Andreas Krause
2023	A*	`conf`	Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. NeurIPS Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
2023	J	`jnl`	Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. CoRR Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
2022	J	`jnl`	Boosting Search Engines with Interactive Agents. Trans. Mach. Learn. Res. Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain
2022	A*	`conf`	Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. ICML Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
2022	J	`jnl`	Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. CoRR Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
2022	J	`jnl`	How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games. CoRR Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin, Saverio Bolognani, Andrea Censi, Emilio Frazzoli
2022	—	`—`	Learning and Efficiency in Multi-Agent Systems. Pier Giuseppe Sessa
2022	A*	`conf`	Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. NeurIPS Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic
2022	J	`jnl`	Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. CoRR Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic
2021	J	`jnl`	A hybrid stochastic approach for offline train trajectory reconstruction. Public Transp. Pier Giuseppe Sessa, Valerio De Martinis, Axel Bomhauer-Beins, Ulrich Alois Weidmann, Francesco Corman
2021	J	`jnl`	Contextual Games: Multi-Agent Learning with Side Information. CoRR Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
2021	A*	`conf`	Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. ICML Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
2020	A*	`conf`	Contextual Games: Multi-Agent Learning with Side Information. NeurIPS Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
2020	J	`jnl`	Filtering approaches for online train motion estimation with onboard power measurements. Comput. Aided Civ. Infrastructure Eng. Pier Giuseppe Sessa, Valerio De Martinis, Francesco Corman
2020	A*	`conf`	Learning to Play Sequential Games versus Unknown Opponents. NeurIPS Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2020	J	`jnl`	Learning to Play Sequential Games versus Unknown Opponents. CoRR Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2020	A	`conf`	Mixed Strategies for Robust Optimization of Unknown Objectives. AISTATS Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2020	J	`jnl`	Mixed Strategies for Robust Optimization of Unknown Objectives. CoRR Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2019	A	`conf`	Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. AISTATS Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
2019	J	`jnl`	Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. CoRR Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
2019	J	`jnl`	Designing Coalition-Proof Reverse Auctions Over Continuous Goods. IEEE Trans. Autom. Control. Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
2019	J	`jnl`	Exploiting structure of chance constrained programs via submodularity. Autom. Damian Frick, Pier Giuseppe Sessa, Tony A. Wood, Maryam Kamgarpour
2019	J	`jnl`	No-Regret Learning from Partially Observed Data in Repeated Auctions. CoRR Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour
2019	A*	`conf`	No-Regret Learning in Unknown Games with Correlated Payoffs. NeurIPS Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2019	J	`jnl`	No-Regret Learning in Unknown Games with Correlated Payoffs. CoRR Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
2018	—	`conf`	A Hybrid Dynamic-Kinematic EKF for Train Trajectory Estimation. ITSC Pier Giuseppe Sessa, Valerio De Martinis, Francesco Corman
2018	—	`conf`	From Uncertainty Data to Robust Policies for Temporal Logic Planning. HSCC Pier Giuseppe Sessa, Damian Frick, Tony A. Wood, Maryam Kamgarpour
2017	J	`jnl`	Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems. CoRR Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
2016	J	`jnl`	Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets. CoRR Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour