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Dávid Pál

According to our database¹, Dávid Pál authored at least 34 papers between 2006 and 2022.

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

2022

Auction for Double-Wide Ads.

[BibT_eX]

[DOI]

,

,

CoRR, 2022

2021

Parameter-free Stochastic Optimization of Variationally Coherent Functions.

[BibT_eX]

[DOI]

Francesco Orabona

,

CoRR, 2021

2020

Learning to Crawl.

[BibT_eX]

[DOI]

Utkarsh Upadhyay

,

Róbert Busa-Fekete

,

Wojciech Kotlowski

,

,

Balázs Szörényi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The information-theoretic value of unlabeled data in semi-supervised learning.

[BibT_eX]

[DOI]

Alexander Golovnev

,

,

Balázs Szörényi

Proceedings of the 36th International Conference on Machine Learning, 2019

Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case.

[BibT_eX]

[DOI]

Alina Beygelzimer

,

,

Balázs Szörényi

,

Devanathan Thiruvenkatachari

,

,

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Scale-free online learning.

[BibT_eX]

[DOI]

Francesco Orabona

,

Theor. Comput. Sci., 2018

2017

Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP.

[BibT_eX]

[DOI]

,

Zohar S. Karnin

,

,

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

From Coin Betting to Parameter-Free Online Learning.

[BibT_eX]

[DOI]

Francesco Orabona

,

CoRR, 2016

Coin Betting and Parameter-Free Online Learning.

[BibT_eX]

[DOI]

Francesco Orabona

,

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

Hardness of Online Sleeping Combinatorial Optimization Problems.

[BibT_eX]

[DOI]

,

,

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

Parameter-Free Convex Learning through Coin Betting.

[BibT_eX]

[DOI]

Francesco Orabona

,

Proceedings of the 2016 Workshop on Automatic Machine Learning, 2016

Open Problem: Parameter-Free and Scale-Free Online Algorithms.

[BibT_eX]

[DOI]

Francesco Orabona

,

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Optimal Non-Asymptotic Lower Bound on the Minimax Regret of Learning with Expert Advice.

[BibT_eX]

[DOI]

Francesco Orabona

,

CoRR, 2015

Scale-Free Algorithms for Online Linear Optimization.

[BibT_eX]

[DOI]

Francesco Orabona

,

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014

Partial Monitoring - Classification, Regret Bounds, and Algorithms.

[BibT_eX]

[DOI]

,

,

,

Alexander Rakhlin

,

Csaba Szepesvári

Math. Oper. Res., 2014

2013

Toward a classification of finite partial-monitoring games.

[BibT_eX]

[DOI]

,

,

,

Csaba Szepesvári

Theor. Comput. Sci., 2013

Online problémy v strojovom učení.

[BibT_eX]

[DOI]

Proceedings of the Conference on Information Technologies, 2013

2012

Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits.

[BibT_eX]

[DOI]

Yasin Abbasi-Yadkori

,

,

Csaba Szepesvári

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

2011

Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments.

[BibT_eX]

[DOI]

,

,

Csaba Szepesvári

Proceedings of the COLT 2011, 2011

Online Least Squares Estimation with Self-Normalized Processes: An Application to Bandit Problems

[BibT_eX]

[DOI]

Yasin Abbasi-Yadkori

,

,

Csaba Szepesvári

CoRR, 2011

Improved Algorithms for Linear Stochastic Bandits.

[BibT_eX]

[DOI]

Yasin Abbasi-Yadkori

,

,

Csaba Szepesvári

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Contextual Multi-Armed Bandits.

[BibT_eX]

[DOI]

,

,

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Impossibility Theorems for Domain Adaptation.

[BibT_eX]

[DOI]

,

,

,

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs.

[BibT_eX]

[DOI]

,

Barnabás Póczos

,

Csaba Szepesvári

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Toward a Classification of Finite Partial-Monitoring Games.

[BibT_eX]

[DOI]

,

,

Csaba Szepesvári

Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009

Contributions to Unsupervised and Semi-Supervised Learning.

[BibT_eX]

[DOI]

PhD thesis, 2009

Learning Low Density Separators.

[BibT_eX]

[DOI]

,

,

,

Miroslava Sotáková

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

General auction mechanism for search advertising.

[BibT_eX]

[DOI]

,

S. Muthukrishnan

,

,

Proceedings of the 18th International Conference on World Wide Web, 2009

Agnostic Online Learning.

[BibT_eX]

[DOI]

,

,

Shai Shalev-Shwartz

Proceedings of the COLT 2009, 2009

2008

Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning.

[BibT_eX]

[DOI]

,

,

Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007

Colouring Cubic Graphs by Small Steiner Triple Systems.

[BibT_eX]

[DOI]

,

Martin Skoviera

Graphs Comb., 2007

Edge-Colourings of Cubic Graphs and Universal Steiner Triple Systems.

[BibT_eX]

[DOI]

,

Martin Skoviera

Electron. Notes Discret. Math., 2007

Stability of <i>k</i> -Means Clustering.

[BibT_eX]

[DOI]

,

,

Hans Ulrich Simon

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

A Sober Look at Clustering Stability.

[BibT_eX]

[DOI]

,

Ulrike von Luxburg

,

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

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