Yann Ollivier
13 papers · 2017–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (7)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(9)
π
Conference Polyglot
(4)
π
Triple Crown
π
Century Club
(13)
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Conference Pioneer
β
The Questioner
(2)
Conferences
ICML (6)
ICLR (4)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
temporal difference learning
(2)
policy optimization
(2)
privacy attack
(1)
black-box optimization
(1)
markov decision process
(1)
natural gradient
(1)
discount factor
(1)
value function
(1)
probability distribution
(1)
reward function
(1)
off-policy learning
(1)
minimum description length
(1)
information geometry
(1)
continuous time
(1)
adversarial attack
(1)
black-box attack
(1)
deep neural network
(1)
adversarial perturbation
(1)
generative adversarial network
(1)
return distribution
(1)
Papers
Fast Imitation via Behavior Foundation Models
ICLR 2024
Simple Ingredients for Offline Reinforcement Learning
ICML 2024
Does Zero-Shot Reinforcement Learning Exist?
ICLR 2023
Learning One Representation to Optimize All Rewards
NIPS 2021
Separating value functions across time-scales
ICML 2019
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
ICML 2019
Making Deep Q-learning methods robust to time discretization
ICML 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
ICML 2019
The Description Length of Deep Learning models
NIPS 2018
Can recurrent neural networks warp time?
ICLR 2018
Unbiased Online Recurrent Optimization
ICLR 2018
Mixed batches and symmetric discriminators for GAN training
ICML 2018
Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles
JMLR 2017