Mehryar Mohri
118 papers
· 2003–2025
· 9 conferences
· across top CS/AI conferences
Achievements
π§
Keyword Pioneer
πΊοΈ
Taxonomy Completionist
(29)
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Cross-Pollinator
(9)
π£
Hot Topic Early Bird
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Academic Marathon
(22)
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Renaissance Researcher
(6)
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Interdisciplinary Bridge
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Conference Polyglot
(9)
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Conference Loyalist
(52)
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Keyword Trendsetter Combo
(4)
π±
Topic Pioneer
π¬
Deep Specialist
(15)
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Keyword Champion
(2)
π€
Dynamic Duo
(37)
ποΈ
Keyword Collector
(148)
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Trend Setter
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Conference Pioneer
π₯
Unstoppable
(20)
β‘
Prolific Year
(13)
β
The Questioner
π
Century Club
(118)
Conferences
NIPS (52)
ICML (28)
AISTATS (12)
COLT (7)
JMLR (7)
ALT (5)
ACL (3)
INTERSPEECH (2)
NAACL (2)
Top co-authors
Keywords
online learning
(20)
regret bound
(19)
surrogate loss
(14)
rademacher complexity
(12)
learning theory
(11)
multi-class classification
(10)
kernel methods
(9)
generalization bound
(8)
multi-armed bandit
(7)
ensemble learning
(7)
feedback graph
(7)
consistency bound
(6)
h-consistency bound
(6)
federated learning
(6)
domain adaptation
(6)
ensemble method
(6)
adversarial robustness
(5)
convex optimization
(5)
stochastic optimization
(5)
low-rank approximation
(5)
Papers
Enhanced $H$-Consistency Bounds
ALT 2025
Regression with Multi-Expert Deferral
ICML 2024
Multi-Class $H$-Consistency Bounds
NIPS 2022
Communication-Efficient Agnostic Federated Averaging
INTERSPEECH 2021
Relative Deviation Margin Bounds
ICML 2021
Learning with User-Level Privacy
NIPS 2021
Boosting with Multiple Sources
NIPS 2021
Corralling Stochastic Bandit Algorithms
AISTATS 2021
Adaptive Region-Based Active Learning
ICML 2020
Regularized Gradient Boosting
NIPS 2019
Agnostic Federated Learning
ICML 2019
Region-Based Active Learning
AISTATS 2019
Active Learning with Disagreement Graphs
ICML 2019
Competing with Automata-based Expert Sequences
AISTATS 2018
Online Learning with Abstention
ICML 2018
Policy Regret in Repeated Games
NIPS 2018
Discriminative State Space Models
NIPS 2017
Online Learning with Transductive Regret
NIPS 2017
Boosting with Abstention
NIPS 2016
Optimistic Bandit Convex Optimization
NIPS 2016
Learning N-Gram Language Models from Uncertain Data
INTERSPEECH 2016
Structural Maxent Models
ICML 2015
Deep Boosting
ICML 2014
Multi-Class Deep Boosting
NIPS 2014
Large-scale SVD and Manifold Learning
JMLR 2013
Accuracy at the Top
NIPS 2012
Sampling Methods for the NystrΓΆm Method
JMLR 2012
Half Transductive Ranking
AISTATS 2010
Expected Sequence Similarity Maximization
NAACL 2010
Learning Bounds for Importance Weighting
NIPS 2010
Discriminative Topic Segmentation of Text and Speech
AISTATS 2010
Ensemble Nystrom Method
NIPS 2009
Polynomial Semantic Indexing
NIPS 2009
Domain Adaptation with Multiple Sources
NIPS 2008
On Transductive Regression
NIPS 2006
Rational Kernels: Theory and Algorithms
JMLR 2004