Pier Giuseppe Sessa
14 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
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NIPS (6)
AISTATS (3)
ICLR (3)
ICML (2)
Top co-authors
Keywords
online learning
(5)
gaussian process
(4)
regret bound
(4)
no-regret learning
(2)
model-based reinforcement learning
(2)
game theory
(2)
coarse correlated equilibrium
(2)
online algorithm
(2)
multi-agent learning
(2)
sequential decision-making
(1)
markov decision process
(1)
reinforcement learning from human feedback
(1)
regret minimization
(1)
multi-agent reinforcement learning
(1)
multitask learning
(1)
sample complexity
(1)
robust optimization
(1)
bandit feedback
(1)
bayesian optimization
(1)
resource allocation
(1)
Papers
BOND: Aligning LLMs with Best-of-N Distillation
ICLR 2025
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design
ICLR 2025
Adversarial Causal Bayesian Optimization
ICLR 2024
Group Robust Preference Optimization in Reward-free RLHF
NIPS 2024
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
AISTATS 2024
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
NIPS 2023
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
ICML 2022
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems
NIPS 2022
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
ICML 2021
Mixed Strategies for Robust Optimization of Unknown Objectives
AISTATS 2020
Learning to Play Sequential Games versus Unknown Opponents
NIPS 2020
Contextual Games: Multi-Agent Learning with Side Information
NIPS 2020
No-Regret Learning in Unknown Games with Correlated Payoffs
NIPS 2019
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
AISTATS 2019