Pierre Alquier
11 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (10) ๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird ๐ Conference Polyglot (5)
๐
Academic Marathon
(12)
๐
Cross-Pollinator
(6)
๐
Keyword Champion
(2)
๐
Century Club
(11)
๐๏ธ
Keyword Collector
(53)
Conferences
JMLR (4)
AISTATS (2)
ICML (2)
NIPS (2)
ACML (1)
Top co-authors
Keywords
online learning
(2)
variational inference
(2)
oracle inequality
(2)
generalization bound
(2)
bayesian inference
(2)
regret bound
(2)
contextual bandit
(2)
gibbs posterior
(2)
feature selection
(1)
principal component analysis
(1)
off-policy evaluation
(1)
neural tangent kernel
(1)
convex optimization
(1)
policy learning
(1)
transfer learning
(1)
catastrophic forgetting
(1)
hypothesis testing
(1)
importance sampling
(1)
reproducing kernel hilbert space
(1)
markov chain monte carlo
(1)
Papers
Variance-Aware Estimation of Kernel Mean Embedding
JMLR 2025
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
JMLR 2025
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
NIPS 2024
PAC-Bayesian Offline Contextual Bandits With Guarantees
ICML 2023
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions
ICML 2021
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
AISTATS 2021
A Generalization Bound for Online Variational Inference
ACML 2019
Regret Bounds for Lifelong Learning
AISTATS 2017
On the properties of variational approximations of Gibbs posteriors
JMLR 2016
PAC-Bayesian AUC classification and scoring
NIPS 2014
Sparse Single-Index Model
JMLR 2013