Pier Giuseppe Sessa

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 38

Top Topics

Confidence Bounds

Robust Optimization

Reinforcement Learning

Top Venues

Publications

Alexandre Ramé, Johan Ferret, Nino Vieillard, Robert Dadashi, Léonard Hussenot, Pierre-Louis Cedoz, Pier Giuseppe Sessa, Sertan Girgin, Arthur Douillard, Olivier Bachem
WARP: On the Benefits of Weight Averaged Rewarded Policies. CoRR (2024)
Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou-Ammar, Ilija Bogunovic
Group Robust Preference Optimization in Reward-free RLHF. CoRR (2024)
Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause
Adversarial Causal Bayesian Optimization. ICLR (2024)
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
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR (2024)
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
BOND: Aligning LLMs with Best-of-N Distillation. CoRR (2024)
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. AISTATS (2024)
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. CoRR (2023)
Vignesh Ram Somnath, Pier Giuseppe Sessa, María Rodríguez Martínez, Andreas Krause
DockGame: Cooperative Games for Multimeric Rigid Protein Docking. CoRR (2023)
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. NeurIPS (2023)
Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin, Saverio Bolognani, Andrea Censi, Emilio Frazzoli
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games. IEEE Robotics Autom. Lett. 8 (4) (2023)
Scott Sussex, Pier Giuseppe Sessa, Anastasiia Makarova, Andreas Krause
Model-based Causal Bayesian Optimization. CoRR (2023)
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. CoRR (2023)
Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain
Boosting Search Engines with Interactive Agents. Trans. Mach. Learn. Res. 2022 (2022)
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. CoRR (2022)
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. CoRR (2022)
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. ICML (2022)
Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin, Saverio Bolognani, Andrea Censi, Emilio Frazzoli
How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games. CoRR (2022)
Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. NeurIPS (2022)
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. ICML (2021)
Pier Giuseppe Sessa, Valerio De Martinis, Axel Bomhauer-Beins, Ulrich Alois Weidmann, Francesco Corman
A hybrid stochastic approach for offline train trajectory reconstruction. Public Transp. 13 (3) (2021)
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
Contextual Games: Multi-Agent Learning with Side Information. CoRR (2021)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Learning to Play Sequential Games versus Unknown Opponents. NeurIPS (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Mixed Strategies for Robust Optimization of Unknown Objectives. AISTATS (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
Contextual Games: Multi-Agent Learning with Side Information. NeurIPS (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Learning to Play Sequential Games versus Unknown Opponents. CoRR (2020)
Pier Giuseppe Sessa, Valerio De Martinis, Francesco Corman
Filtering approaches for online train motion estimation with onboard power measurements. Comput. Aided Civ. Infrastructure Eng. 35 (5) (2020)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
Mixed Strategies for Robust Optimization of Unknown Objectives. CoRR (2020)
Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
Designing Coalition-Proof Reverse Auctions Over Continuous Goods. IEEE Trans. Autom. Control. 64 (11) (2019)
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. AISTATS (2019)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
No-Regret Learning in Unknown Games with Correlated Payoffs. NeurIPS (2019)
Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause
No-Regret Learning in Unknown Games with Correlated Payoffs. CoRR (2019)
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. CoRR (2019)
Damian Frick, Pier Giuseppe Sessa, Tony A. Wood, Maryam Kamgarpour
Exploiting structure of chance constrained programs via submodularity. Autom. 105 (2019)
Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour
No-Regret Learning from Partially Observed Data in Repeated Auctions. CoRR (2019)
Pier Giuseppe Sessa, Damian Frick, Tony A. Wood, Maryam Kamgarpour
From Uncertainty Data to Robust Policies for Temporal Logic Planning. HSCC (2018)
Pier Giuseppe Sessa, Valerio De Martinis, Francesco Corman
A Hybrid Dynamic-Kinematic EKF for Train Trajectory Estimation. ITSC (2018)
Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems. CoRR (2017)
Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour
Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets. CoRR (2016)