Olivier Chapelle
16 papers · 1999–2014 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(13)
π¬
Deep Specialist
(10)
π
Keyword Champion
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(96)
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(14)
Core Methods
(11)
Learning Types
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Optimization & Theory
(6)
Application Areas
(4)
Computer Science
(3)
Natural Language Processing
(3)
Applications Β· Computer Science
(3)
Applications Β· Natural Language Processing
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
support vector machine
(7)
kernel methods
(4)
semi-supervised learning
(3)
non-convex optimization
(3)
margin maximization
(2)
basis function
(2)
classifier cascade
(2)
representer theorem
(2)
pattern classification
(2)
test-time cost
(2)
decision tree
(2)
hierarchical classification
(1)
label propagation
(1)
hyperparameter optimization
(1)
sequence labeling
(1)
online learning
(1)
large margin learning
(1)
structured prediction
(1)
margin-based learning
(1)
bayesian inference
(1)
Papers
Classifier Cascades and Trees for Minimizing Feature Evaluation Cost
JMLR 2014
Classifier Cascade for Minimizing Feature Evaluation Cost
AISTATS 2012
Deterministic Annealing for Semi-Supervised Structured Output Learning
AISTATS 2012
Open Problem: Regret Bounds for Thompson Sampling
COLT 2012
An Empirical Evaluation of Thompson Sampling
NeurIPS 2011
Large Margin Taxonomy Embedding for Document Categorization
NeurIPS 2008
Optimization Techniques for Semi-Supervised Support Vector Machines
JMLR 2008
Tighter Bounds for Structured Estimation
NeurIPS 2008
A General Boosting Method and its Application to Learning Ranking Functions for Web Search
NeurIPS 2007
An Analysis of Inference with the Universum
NeurIPS 2007
Learning with Transformation Invariant Kernels
NeurIPS 2007
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
NeurIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines
NeurIPS 2006
Building Support Vector Machines with Reduced Classifier Complexity
JMLR 2006
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions
NeurIPS 2006
Deterministic Annealing for Multiple-Instance Learning
AISTATS 1999