Alina Beygelzimer
13 papers · 2010–2021 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (10) π Conference Polyglot (6)
π
Academic Marathon
(11)
π
Cross-Pollinator
(15)
π₯
Unstoppable
(6)
π
Century Club
(13)
ποΈ
Keyword Collector
(63)
π
Trend Setter
Conferences
ICML (5)
NIPS (4)
AISTATS (1)
COLT (1)
IJCAI (1)
JMLR (1)
Top co-authors
Keywords
online learning
(5)
supervised learning
(2)
multiclass classification
(2)
active learning
(2)
regret bound
(2)
ensemble learning
(1)
binary classification
(1)
representation learning
(1)
adaptive learning
(1)
kernel perceptron
(1)
policy learning
(1)
computational efficiency
(1)
conference proceedings
(1)
fair classification
(1)
sample complexity
(1)
agnostic learning
(1)
gradient boosting
(1)
nearest neighbor
(1)
classification
(1)
learning theory
(1)
Papers
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)
JMLR 2021
Conference on Learning Theory 2019: Preface
COLT 2019
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
ICML 2019
Contextual Memory Trees
ICML 2019
A Reductions Approach to Fair Classification
ICML 2018
Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret
ICML 2017
Optimal and Adaptive Algorithms for Online Boosting
IJCAI 2016
Search Improves Label for Active Learning
NIPS 2016
Optimal and Adaptive Algorithms for Online Boosting
ICML 2015
Online Gradient Boosting
NIPS 2015
Scalable Non-linear Learning with Adaptive Polynomial Expansions
NIPS 2014
Contextual Bandit Algorithms with Supervised Learning Guarantees
AISTATS 2011
Agnostic Active Learning Without Constraints
NIPS 2010