Pier Giuseppe Sessa

According to our database, Pier Giuseppe Sessa authored at least 31 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design.

Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause

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, Abe Friesen, Michelle Casbon, Sabela Ramos, Ravin Kumar, Charline Le Lan, Sammy Jerome, Anton Tsitsulin, Nino Vieillard, Piotr Stanczyk, Sertan Girgin, Nikola Momchev, Matt Hoffman, Shantanu Thakoor, Jean-Bastien Grill, Behnam Neyshabur, Olivier Bachem, Alanna Walton, Aliaksei Severyn, Alicia Parrish, Aliya Ahmad, Allen Hutchison, Alvin Abdagic, Amanda Carl, Amy Shen, Andy Brock, Andy Coenen, Anthony Laforge, Antonia Paterson, Ben Bastian, Bilal Piot, Bo Wu, Brandon Royal, Charlie Chen, Chintu Kumar, Chris Perry, Chris Welty, Christopher A. Choquette-Choo, Danila Sinopalnikov, David Weinberger, Dimple Vijaykumar, Dominika Rogozinska, Dustin Herbison, Elisa Bandy, Emma Wang, Eric Noland, Erica Moreira, Evan Senter, Evgenii Eltyshev, Francesco Visin, Gabriel Rasskin, Gary Wei, Glenn Cameron, Gus Martins, Hadi Hashemi, Hanna Klimczak-Plucinska, Harleen Batra, Harsh Dhand, Ivan Nardini, Jacinda Mein, Jack Zhou, James Svensson, Jeff Stanway, Jetha Chan, Jin Peng Zhou, Joana Carrasqueira, Joana Iljazi, Jocelyn Becker, Joe Fernandez, Joost van Amersfoort, Josh Gordon, Josh Lipschultz, Josh Newlan, Ju-yeong Ji, Kareem Mohamed, Kartikeya Badola, Kat Black, Katie Millican, Keelin McDonell, Kelvin Nguyen, Kiranbir Sodhia, Kish Greene, Lars Lowe Sjösund, Lauren Usui, Laurent Sifre, Lena Heuermann, Leticia Lago, Lilly McNealus

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, Andrea Michi, Danila Sinopalnikov, Sabela Ramos, Amélie Héliou, Aliaksei Severyn, Matt Hoffman, Nikola Momchev, Olivier Bachem

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

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

CoRR, 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, 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

CoRR, 2024

Adversarial Causal Bayesian Optimization.

Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces.

Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

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., April, 2023

DockGame: Cooperative Games for Multimeric Rigid Protein Docking.

Vignesh Ram Somnath, Pier Giuseppe Sessa, María Rodríguez Martínez, Andreas Krause

CoRR, 2023

Model-based Causal Bayesian Optimization.

Scott Sussex, Pier Giuseppe Sessa, Anastasiia Makarova, Andreas Krause

CoRR, 2023

Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning.

Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning and Efficiency in Multi-Agent Systems.

Pier Giuseppe Sessa

PhD thesis, 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

Trans. Mach. Learn. Res., 2022

Movement Penalized Bayesian Optimization with Application to Wind Energy Systems.

Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation.

Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause

Proceedings of the International Conference on Machine Learning, 2022

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

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems.

Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour

Proceedings of the 38th International Conference on Machine Learning, 2021

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

Learning to Play Sequential Games versus Unknown Opponents.

Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Contextual Games: Multi-Agent Learning with Side Information.

Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mixed Strategies for Robust Optimization of Unknown Objectives.

Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Designing Coalition-Proof Reverse Auctions Over Continuous Goods.

Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour

IEEE Trans. Autom. Control., 2019

No-Regret Learning from Partially Observed Data in Repeated Auctions.

Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour

CoRR, 2019

Exploiting structure of chance constrained programs via submodularity.

Damian Frick, Pier Giuseppe Sessa, Tony A. Wood, Maryam Kamgarpour

Autom., 2019

No-Regret Learning in Unknown Games with Correlated Payoffs.

Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature.

Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

A Hybrid Dynamic-Kinematic EKF for Train Trajectory Estimation.

Pier Giuseppe Sessa, Valerio De Martinis, Francesco Corman

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

From Uncertainty Data to Robust Policies for Temporal Logic Planning.

Pier Giuseppe Sessa, Damian Frick, Tony A. Wood, Maryam Kamgarpour

Proceedings of the 21st International Conference on Hybrid Systems: Computation and Control (part of CPS Week), 2018

2017

Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems.

Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour

CoRR, 2017

2016

Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets.

Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour

CoRR, 2016