David Pal
David Pal
Sr. Research Scientist, Yahoo Research
Verified email at oath.com - Homepage
TitleCited byYear
Improved algorithms for linear stochastic bandits
Y Abbasi-Yadkori, D Pál, C Szepesvári
Advances in Neural Information Processing Systems, 2312-2320, 2011
4162011
A sober look at clustering stability
S Ben-David, U Von Luxburg, D Pál
International Conference on Computational Learning Theory, 5-19, 2006
2272006
Contextual multi-armed bandits
T Lu, D Pál, M Pál
Proceedings of the Thirteenth international conference on Artificial …, 2010
1622010
Estimation of Rényi entropy and mutual information based on generalized nearest-neighbor graphs
D Pál, B Póczos, C Szepesvári
Advances in Neural Information Processing Systems, 1849-1857, 2010
1252010
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning.
S Ben-David, T Lu, D Pál
COLT, 33-44, 2008
1082008
General auction mechanism for search advertising
G Aggarwal, S Muthukrishnan, D Pál, M Pál
Proceedings of the 18th international conference on World wide web, 241-250, 2009
1062009
Impossibility theorems for domain adaptation
S Ben-David, T Lu, T Luu, D Pál
International Conference on Artificial Intelligence and Statistics, 129-136, 2010
942010
Stability of k-means clustering
S Ben-David, D Pál, HU Simon
International Conference on Computational Learning Theory, 20-34, 2007
802007
Partial monitoring—classification, regret bounds, and algorithms
G Bartók, DP Foster, D Pál, A Rakhlin, C Szepesvári
Mathematics of Operations Research 39 (4), 967-997, 2014
702014
Agnostic Online Learning.
S Ben-David, D Pál, S Shalev-Shwartz
COLT 3, 1, 2009
692009
Online-to-confidence-set conversions and application to sparse stochastic bandits
Y Abbasi-Yadkori, D Pal, C Szepesvari
Artificial Intelligence and Statistics, 1-9, 2012
602012
Minimax regret of finite partial-monitoring games in stochastic environments
G Bartók, D Pál, C Szepesvári
Proceedings of the 24th Annual Conference on Learning Theory, 133-154, 2011
382011
Coin betting and parameter-free online learning
F Orabona, D Pál
Advances in Neural Information Processing Systems, 577-585, 2016
302016
Toward a classification of finite partial-monitoring games
A Antos, G Bartók, D Pál, C Szepesvári
Theoretical Computer Science 473, 77-99, 2013
222013
Toward a classification of finite partial-monitoring games
G Bartók, D Pál, C Szepesvári
International Conference on Algorithmic Learning Theory, 224-238, 2010
192010
Scale-free algorithms for online linear optimization
F Orabona, D Pál
International Conference on Algorithmic Learning Theory, 287-301, 2015
182015
Online least squares estimation with self-normalized processes: An application to bandit problems
Y Abbasi-Yadkori, D Pál, C Szepesvári
arXiv preprint arXiv:1102.2670, 2011
172011
Learning low density separators
S Ben-David, T Lu, D Pál, M Sotáková
Artificial Intelligence and Statistics, 25-32, 2009
142009
Scale-free online learning
F Orabona, D Pál
Theoretical Computer Science 716, 50-69, 2018
132018
Adaptive feature selection: Computationally efficient online sparse linear regression under rip
S Kale, Z Karnin, T Liang, D Pál
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
102017
The system can't perform the operation now. Try again later.
Articles 1–20