Philippe Preux
15 papers · 2010–2023 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π Academic Marathon (13)
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Academic Marathon
(13)
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Cross-Pollinator
(11)
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Renaissance Researcher
(6)
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Keyword Champion
π±
Topic Pioneer
π§¬
Topic Evolution
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Grand Slam
ποΈ
Keyword Collector
(59)
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Trend Setter
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Conference Pioneer
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Century Club
(15)
Conferences
AISTATS (2)
ICLR (2)
ICML (2)
IJCAI (2)
JMLR (2)
NIPS (2)
AAAI (1)
ECCV (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(4)
operator-valued kernel
(3)
representer theorem
(2)
reproducing kernel hilbert space
(2)
stationary ergodic
(2)
sample efficiency
(2)
kernel methods
(2)
functional regression
(2)
functional data analysis
(2)
time series clustering
(1)
brain-computer interface
(1)
speaker recognition
(1)
policy gradient
(1)
value function
(1)
kernel learning
(1)
sample complexity
(1)
online clustering
(1)
continuous control
(1)
variance reduction
(1)
self-supervised learning
(1)
Papers
Soft Action Priors: Towards Robust Policy Transfer
AAAI 2023
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning
NIPS 2021
Learning Value Functions in Deep Policy Gradients using Residual Variance
ICLR 2021
Donβt Do What Doesnβt Matter: Intrinsic Motivation with Action Usefulness
IJCAI 2021
Adversarially Guided Actor-Critic
ICLR 2021
A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning
INTERSPEECH 2020
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL
IJCAI 2020
Visual Reasoning with Multi-hop Feature Modulation
ECCV 2018
Operator-valued Kernels for Learning from Functional Response Data
JMLR 2016
Consistent Algorithms for Clustering Time Series
JMLR 2016
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques
ICML 2014
A Generalized Kernel Approach to Structured Output Learning
ICML 2013
Online Clustering of Processes
AISTATS 2012
Multiple Operator-valued Kernel Learning
NIPS 2012
Nonlinear functional regression: a functional RKHS approach
AISTATS 2010