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Dávid Pál
Dávid Pál
Staff Machine Learning Engineer, Instacart
Verified email at instacart.com - Homepage
Title
Cited by
Cited by
Year
Improved algorithms for linear stochastic bandits
Y Abbasi-Yadkori, D Pál, C Szepesvári
Advances in neural information processing systems 24, 2011
15142011
A sober look at clustering stability
S Ben-David, U Von Luxburg, D Pál
Learning Theory: 19th Annual Conference on Learning Theory, COLT 2006 …, 2006
3072006
Contextual multi-armed bandits
T Lu, D Pál, M Pál
Proceedings of the Thirteenth international conference on Artificial …, 2010
2872010
Impossibility theorems for domain adaptation
SB David, T Lu, T Luu, D Pál
Proceedings of the Thirteenth International Conference on Artificial …, 2010
2772010
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 23, 2010
1802010
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
1642012
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
1482008
Agnostic Online Learning.
S Ben-David, D Pál, S Shalev-Shwartz
COLT 3, 1, 2009
1462009
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
1332009
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
1222014
Coin betting and parameter-free online learning
F Orabona, D Pál
Advances in Neural Information Processing Systems 29, 2016
1172016
Stability of k-Means Clustering
S Ben-David, D Pál, HU Simon
Learning Theory: 20th Annual Conference on Learning Theory, COLT 2007, San …, 2007
1152007
Scale-free online learning
F Orabona, D Pál
Theoretical Computer Science 716, 50-69, 2018
772018
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
602011
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
512011
Toward a classification of finite partial-monitoring games
A Antos, G Bartók, D Pál, C Szepesvári
Theoretical Computer Science 473, 77-99, 2013
472013
Scale-free algorithms for online linear optimization
F Orabona, D Pál
Algorithmic Learning Theory: 26th International Conference, ALT 2015, Banff …, 2015
402015
Adaptive feature selection: Computationally efficient online sparse linear regression under rip
S Kale, Z Karnin, T Liang, D Pál
International Conference on Machine Learning, 1780-1788, 2017
222017
Optimal non-asymptotic lower bound on the minimax regret of learning with expert advice
F Orabona, D Pál
arXiv preprint arXiv:1511.02176, 2015
222015
Learning low density separators
S Ben-David, T Lu, D Pál, M Sotáková
Artificial Intelligence and Statistics, 25-32, 2009
222009
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