Mark Herbster
21 papers · 2001–2024 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Renaissance Researcher (7) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Conference Polyglot
(6)
πΊοΈ
Taxonomy Completionist
(17)
π£
Hot Topic Early Bird
π
Keyword Trendsetter Combo
(6)
π±
Topic Pioneer
π
Keyword Champion
(2)
π€
Dynamic Duo
(14)
ποΈ
Keyword Collector
(89)
π
Conference Pioneer
π
Century Club
(21)
π
Trend Setter
Conferences
NIPS (13)
ALT (3)
JMLR (2)
AISTATS (1)
COLT (1)
ICML (1)
Top co-authors
Keywords
online learning
(13)
mistake bound
(7)
regret bound
(5)
online prediction
(4)
online algorithm
(3)
matrix completion
(3)
graph labeling
(2)
graph classification
(2)
expert tracking
(2)
adversarial bandit
(2)
graph algorithm
(2)
similarity prediction
(2)
multi-armed bandit
(2)
graph prediction
(2)
adversarial learning
(2)
kernel methods
(2)
perceptron algorithm
(1)
collaborative filtering
(1)
belief propagation
(1)
graph learning
(1)
Papers
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
NIPS 2024
Bandits with Abstention under Expert Advice
NIPS 2024
Adversarial Online Collaborative Filtering
ALT 2024
Multi-class Graph Clustering via Approximated Effective $p$-Resistance
ICML 2023
A Gang of Adversarial Bandits
NIPS 2021
Improved Regret Bounds for Tracking Experts with Memory
NIPS 2021
Online Learning of Facility Locations
ALT 2021
Online Multitask Learning with Long-Term Memory
NIPS 2020
Online Matrix Completion with Side Information
NIPS 2020
Online Prediction of Switching Graph Labelings with Cluster Specialists
NIPS 2019
MaxHedge: Maximizing a Maximum Online
AISTATS 2019
On Similarity Prediction and Pairwise Clustering
ALT 2018
Mistake Bounds for Binary Matrix Completion
NIPS 2016
Predicting a Switching Sequence of Graph Labelings
JMLR 2015
Online Prediction at the Limit of Zero Temperature
NIPS 2015
Online Similarity Prediction of Networked Data from Known and Unknown Graphs
COLT 2013
Online Sum-Product Computation Over Trees
NIPS 2012
Online Prediction on Large Diameter Graphs
NIPS 2008
Fast Prediction on a Tree
NIPS 2008
Prediction on a Graph with a Perceptron
NIPS 2006
Tracking the Best Linear Predictor
JMLR 2001