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Mark Herbster

According to our database¹, Mark Herbster authored at least 41 papers between 1994 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Bandits with Abstention under Expert Advice.

[BibT_eX]

[DOI]

Stephen Pasteris

,

,

Maximilian Thiessen

,

,

Atsushi Miyauchi

,

,

CoRR, 2024

Adversarial Online Collaborative Filtering.

[BibT_eX]

[DOI]

Stephen Pasteris

,

,

,

Claudio Gentile

,

André Panisson

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

Generalizing p-Laplacian: spectral hypergraph theory and a partitioning algorithm.

[BibT_eX]

[DOI]

,

Mach. Learn., January, 2023

Regret Guarantees for Adversarial Online Collaborative Filtering.

[BibT_eX]

[DOI]

Stephen Pasteris

,

,

,

Claudio Gentile

CoRR, 2023

Multi-class Graph Clustering via Approximated Effective p-Resistance.

[BibT_eX]

[DOI]

,

Proceedings of the International Conference on Machine Learning, 2023

2022

Hierarchical Learning Algorithms for Multi-scale Expert Problems.

[BibT_eX]

[DOI]

,

Yu-Zhen Janice Chen

,

Mohammad H. Hajiesmaili

,

,

Proc. ACM Meas. Anal. Comput. Syst., 2022

2021

Improved Regret Bounds for Tracking Experts with Memory.

[BibT_eX]

[DOI]

,

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Gang of Adversarial Bandits.

[BibT_eX]

[DOI]

,

Stephen Pasteris

,

,

Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Learning of Facility Locations.

[BibT_eX]

[DOI]

Stephen Pasteris

,

,

,

,

Proceedings of the Algorithmic Learning Theory, 2021

2020

Online Matrix Completion with Side Information.

[BibT_eX]

[DOI]

,

Stephen Pasteris

,

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Multitask Learning with Long-Term Memory.

[BibT_eX]

[DOI]

,

Stephen Pasteris

,

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Online Prediction of Switching Graph Labelings with Cluster Specialists.

[BibT_eX]

[DOI]

,

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems.

[BibT_eX]

[DOI]

Stephen Pasteris

,

,

,

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

MaxHedge: Maximizing a Maximum Online.

[BibT_eX]

[DOI]

Stephen Pasteris

,

,

,

,

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Predicting Switching Graph Labelings with Cluster Specialists.

[BibT_eX]

[DOI]

,

CoRR, 2018

Quantum linear systems algorithms: a primer.

[BibT_eX]

[DOI]

Danial Dervovic

,

,

,

Simone Severini

,

,

Leonard Wossnig

CoRR, 2018

On Similarity Prediction and Pairwise Clustering.

[BibT_eX]

[DOI]

Stephen Pasteris

,

,

Claudio Gentile

,

Proceedings of the Algorithmic Learning Theory, 2018

2017

On Pairwise Clustering with Side Information.

[BibT_eX]

[DOI]

Stephen Pasteris

,

,

Claudio Gentile

,

CoRR, 2017

Quantum machine learning: a classical perspective.

[BibT_eX]

[DOI]

Carlo Ciliberto

,

,

Alessandro Davide Ialongo

,

Massimiliano Pontil

,

Andrea Rocchetto

,

Simone Severini

,

Leonard Wossnig

CoRR, 2017

Data distribution and scheduling for distributed analytics tasks.

[BibT_eX]

[DOI]

Stephen Pasteris

,

,

Christian Makaya

,

,

Proceedings of the 2017 IEEE SmartWorld, 2017

2016

Mistake Bounds for Binary Matrix Completion.

[BibT_eX]

[DOI]

,

Stephen Pasteris

,

Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Predicting a switching sequence of graph labelings.

[BibT_eX]

[DOI]

,

Stephen Pasteris

,

Massimiliano Pontil

J. Mach. Learn. Res., 2015

The VC-Dimension of Similarity Hypotheses Spaces.

[BibT_eX]

[DOI]

,

Paul Rubenstein

,

CoRR, 2015

Online Prediction at the Limit of Zero Temperature.

[BibT_eX]

[DOI]

,

Stephen Pasteris

,

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013

Online Similarity Prediction of Networked Data from Known and Unknown Graphs.

[BibT_eX]

[DOI]

Claudio Gentile

,

,

Stephen Pasteris

Proceedings of the COLT 2013, 2013

2012

Online Sum-Product Computation Over Trees.

[BibT_eX]

[DOI]

,

Stephen Pasteris

,

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2009

Predicting the Labelling of a Graph via Minimum $p$-Seminorm Interpolation.

[BibT_eX]

[DOI]

,

Proceedings of the COLT 2009, 2009

2008

Fast Prediction on a Tree.

[BibT_eX]

[DOI]

,

Massimiliano Pontil

,

Sergio Rojas Galeano

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Online Prediction on Large Diameter Graphs.

[BibT_eX]

[DOI]

,

,

Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Exploiting Cluster-Structure to Predict the Labeling of a Graph.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2006

Prediction on a Graph with a Perceptron.

[BibT_eX]

[DOI]

,

Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Combining Graph Laplacians for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Andreas Argyriou

,

,

Massimiliano Pontil

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Online learning over graphs.

[BibT_eX]

[DOI]

,

Massimiliano Pontil

,

Proceedings of the Machine Learning, 2005

2004

Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2001

Tracking the Best Linear Predictor.

[BibT_eX]

[DOI]

,

Manfred K. Warmuth

J. Mach. Learn. Res., 2001

Learning Additive Models Online with Fast Evaluating Kernels.

[BibT_eX]

[DOI]

Proceedings of the Computational Learning Theory, 2001

A combined Bayes - maximum likelihood method for regression.

[BibT_eX]

[DOI]

Alexey Ya. Chervonenkis

,

,

Proceedings of the Data Fusion and Perception, 2001

1998

Tracking the Best Expert.

[BibT_eX]

[DOI]

,

Manfred K. Warmuth

Mach. Learn., 1998

Tracking the Best Regressor.

[BibT_eX]

[DOI]

,

Manfred K. Warmuth

Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998

1995

Exponentially many local minima for single neurons.

[BibT_eX]

[DOI]

,

,

Manfred K. Warmuth

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994

RNA Modeling Using Gibbs Sampling and Stochastic Context Free Grammars.

[BibT_eX]

[DOI]

,

,

,

,

,

Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, 1994

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