Amaury Habrard
23 papers · 2010–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (15) π Interdisciplinary Bridge π Conference Polyglot (11) π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(39)
π
Grand Slam
ποΈ
Keyword Collector
(86)
π
Trend Setter
π
Conference Pioneer
π
Century Club
(23)
β
The Questioner
π₯
Unstoppable
(7)
Conferences
ICML (5)
NIPS (5)
AISTATS (3)
IJCAI (2)
JMLR (2)
AAAI (1)
ECCV (1)
EMNLP (1)
ICCV (1)
ICLR (1)
WACV (1)
Top co-authors
Keywords
domain adaptation
(6)
optimal transport
(4)
generalization bound
(4)
transfer learning
(4)
majority vote
(3)
metric learning
(3)
weighted automaton
(2)
representation learning
(2)
few-shot learning
(2)
hankel matrix
(2)
pac-bayes bound
(2)
singular value decomposition
(2)
word embedding
(2)
text classification
(2)
pac-bayes theory
(2)
spectral learning
(2)
concentration bound
(2)
unsupervised learning
(2)
convex optimization
(1)
learning theory
(1)
Papers
A Bregman Proximal Viewpoint on Neural Operators
ICML 2025
Length independent PAC-Bayes bounds for Simple RNNs
AISTATS 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
AISTATS 2024
Proposal-Contrastive Pretraining for Object Detection from Fewer Data
ICLR 2023
Towards Few-Annotation Learning for Object Detection: Are Transformer-Based Models More Efficient?
WACV 2023
Improving Few-Shot Learning through Multi-task Representation Learning Theory
ECCV 2022
A PAC-Bayes Analysis of Adversarial Robustness
NIPS 2021
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
NIPS 2021
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data
IJCAI 2020
Differentially Private Optimal Transport: Application to Domain Adaptation
IJCAI 2019
From Cost-Sensitive Classification to Tight F-measure Bounds
AISTATS 2019
Near-Lossless Binarization of Word Embeddings
AAAI 2019
Joint distribution optimal transportation for domain adaptation
NIPS 2017
Dict2vec : Learning Word Embeddings using Lexical Dictionaries
EMNLP 2017
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning
JMLR 2016
Mapping Estimation for Discrete Optimal Transport
NIPS 2016
A New PAC-Bayesian Perspective on Domain Adaptation
ICML 2016
Regressive Virtual Metric Learning
NIPS 2015
A Theoretical Analysis of Metric Hypothesis Transfer Learning
ICML 2015
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning
ICML 2014
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
ICML 2013
Unsupervised Visual Domain Adaptation Using Subspace Alignment
ICCV 2013
Using Contextual Representations to Efficiently Learn Context-Free Languages
JMLR 2010