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2020 – today
- 2024
[c13]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic:
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. AISTATS 2024: 100-108- [c12]Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause:
Adversarial Causal Bayesian Optimization. ICLR 2024 - [i21]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 abs/2404.07839 (2024) - [i20]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 abs/2405.20304 (2024) - [i19]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 abs/2406.16768 (2024) - [i18]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 abs/2407.14622 (2024) - [i17]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:
Gemma 2: Improving Open Language Models at a Practical Size. CoRR abs/2408.00118 (2024) - [i16]Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause:
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design. CoRR abs/2409.18582 (2024) - 2023
- [j6]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): 2293-2300 (2023) - [c11]Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause:
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. NeurIPS 2023 - [i15]Scott Sussex, Pier Giuseppe Sessa, Anastasiia Makarova, Andreas Krause:
Model-based Causal Bayesian Optimization. CoRR abs/2307.16625 (2023) - [i14]Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause:
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. CoRR abs/2308.01744 (2023) - [i13]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic:
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. CoRR abs/2309.02236 (2023) - [i12]Vignesh Ram Somnath, Pier Giuseppe Sessa, María Rodríguez Martínez, Andreas Krause:
DockGame: Cooperative Games for Multimeric Rigid Protein Docking. CoRR abs/2310.06177 (2023) - 2022
- [b1]Pier Giuseppe Sessa:
Learning and Efficiency in Multi-Agent Systems. ETH Zurich, Zürich, Switzerland, 2022 - [j5]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) - [c10]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. ICML 2022: 19580-19597 - [c9]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic:
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. NeurIPS 2022 - [i11]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. CoRR abs/2203.07322 (2022) - [i10]Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Andreas Krause, Ilija Bogunovic:
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems. CoRR abs/2210.08087 (2022) - [i9]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 abs/2210.13064 (2022) - 2021
- [j4]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): 675-698 (2021) - [c8]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. ICML 2021: 9455-9464 - [i8]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Contextual Games: Multi-Agent Learning with Side Information. CoRR abs/2107.06327 (2021) - 2020
- [j3]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): 415-429 (2020) - [c7]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Mixed Strategies for Robust Optimization of Unknown Objectives. AISTATS 2020: 2970-2980 - [c6]Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour:
Contextual Games: Multi-Agent Learning with Side Information. NeurIPS 2020 - [c5]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Learning to Play Sequential Games versus Unknown Opponents. NeurIPS 2020 - [i7]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Mixed Strategies for Robust Optimization of Unknown Objectives. CoRR abs/2002.12613 (2020) - [i6]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
Learning to Play Sequential Games versus Unknown Opponents. CoRR abs/2007.05271 (2020)
2010 – 2019
- 2019
- [j2]Damian Frick, Pier Giuseppe Sessa, Tony A. Wood, Maryam Kamgarpour:
Exploiting structure of chance constrained programs via submodularity. Autom. 105: 89-95 (2019) - [j1]Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Designing Coalition-Proof Reverse Auctions Over Continuous Goods. IEEE Trans. Autom. Control. 64(11): 4803-4810 (2019) - [c4]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. AISTATS 2019: 2017-2027 - [c3]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
No-Regret Learning in Unknown Games with Correlated Payoffs. NeurIPS 2019: 13602-13611 - [i5]Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause:
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. CoRR abs/1903.00950 (2019) - [i4]Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause:
No-Regret Learning in Unknown Games with Correlated Payoffs. CoRR abs/1909.08540 (2019) - [i3]Orcun Karaca, Pier Giuseppe Sessa, Anna Leidi, Maryam Kamgarpour:
No-Regret Learning from Partially Observed Data in Repeated Auctions. CoRR abs/1912.09905 (2019) - 2018
- [c2]Pier Giuseppe Sessa, Damian Frick, Tony A. Wood, Maryam Kamgarpour:
From Uncertainty Data to Robust Policies for Temporal Logic Planning. HSCC 2018: 157-166 - [c1]Pier Giuseppe Sessa, Valerio De Martinis, Francesco Corman:
A Hybrid Dynamic-Kinematic EKF for Train Trajectory Estimation. ITSC 2018: 2297-2302 - 2017
- [i2]Orcun Karaca, Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Game Theoretic Analysis of Auction Mechanisms Modeled by Constrained Optimization Problems. CoRR abs/1711.06774 (2017) - 2016
- [i1]Pier Giuseppe Sessa, Neil Walton, Maryam Kamgarpour:
Exploring Vickrey-Clarke-Groves Mechanism for Electricity Markets. CoRR abs/1611.03044 (2016)
Coauthor Index
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last updated on 2024-10-18 20:29 CEST by the dblp team
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