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Satyen Kale
2010 – today
- 2013
[j13]Satyen Kale, Yuval Peres, C. Seshadhri: Noise Tolerance of Expanders and Sublinear Expansion Reconstruction. SIAM J. Comput. 42(1): 305-323 (2013)
[i8]Arpita Ghosh, Satyen Kale, Kevin J. Lang, Benjamin Moseley: Bargaining for Revenue Shares on Tree Trading Networks. CoRR abs/1304.5822 (2013)- 2012
[j12]Alekh Agarwal, Miroslav Dudík, Satyen Kale, John Langford, Robert E. Schapire: Contextual Bandit Learning with Predictable Rewards. Journal of Machine Learning Research - Proceedings Track 22: 19-26 (2012)
[j11]Satyen Kale: Commentary on "Online Optimization with Gradual Variations". Journal of Machine Learning Research - Proceedings Track 23: 6.21-6.24 (2012)
[j10]Elad Hazan, Satyen Kale, Shai Shalev-Shwartz: Near-Optimal Algorithms for Online Matrix Prediction. Journal of Machine Learning Research - Proceedings Track 23: 38.1-38.13 (2012)
[j9]Sanjeev Arora, Elad Hazan, Satyen Kale: The Multiplicative Weights Update Method: a Meta-Algorithm and Applications. Theory of Computing 8(1): 121-164 (2012)
[c27]Haim Avron, Satyen Kale, Shiva Prasad Kasiviswanathan, Vikas Sindhwani: Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization. ICML 2012
[c26]
[i7]Alekh Agarwal, Miroslav Dudík, Satyen Kale, John Langford, Robert E. Schapire: Contextual Bandit Learning with Predictable Rewards. CoRR abs/1202.1334 (2012)
[i6]Elad Hazan, Satyen Kale, Shai Shalev-Shwartz: Near-Optimal Algorithms for Online Matrix Prediction. CoRR abs/1204.0136 (2012)
[i5]- 2011
[j8]Elad Hazan, Satyen Kale: Better Algorithms for Benign Bandits. Journal of Machine Learning Research 12: 1287-1311 (2011)
[j7]Elad Hazan, Satyen Kale: Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization. Journal of Machine Learning Research - Proceedings Track 19: 421-436 (2011)
[j6]Elad Hazan, Satyen Kale: A simple multi-armed bandit algorithm with optimal variation-bounded regret. Journal of Machine Learning Research - Proceedings Track 19: 817-820 (2011)
[j5]Satyen Kale, C. Seshadhri: An Expansion Tester for Bounded Degree Graphs. SIAM J. Comput. 40(3): 709-720 (2011)
[c25]Satyen Kale, C. Seshadhri: Combinatorial Approximation Algorithms for MaxCut using Random Walks. ICS 2011: 367-388
[c24]Satyen Kale, Ravi Kumar, Sergei Vassilvitskii: Cross-Validation and Mean-Square Stability. ICS 2011: 487-495
[c23]Elad Hazan, Satyen Kale: Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction. NIPS 2011: 891-899
[c22]Arpita Ghosh, Satyen Kale, R. Preston McAfee: Who moderates the moderators?: crowdsourcing abuse detection in user-generated content. ACM Conference on Electronic Commerce 2011: 167-176
[c21]Miroslav Dudík, Daniel Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang: Efficient Optimal Learning for Contextual Bandits. UAI 2011: 169-178
[i4]Miroslav Dudík, Daniel Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang: Efficient Optimal Learning for Contextual Bandits. CoRR abs/1106.2369 (2011)- 2010
[j4]Elad Hazan, Satyen Kale: Extracting certainty from uncertainty: regret bounded by variation in costs. Machine Learning 80(2-3): 165-188 (2010)
[j3]Sanjeev Arora, Elad Hazan, Satyen Kale: O(sqrt(log(n)) Approximation to SPARSEST CUT in Õ(n2) Time. SIAM J. Comput. 39(5): 1748-1771 (2010)
[c20]Elad Hazan, Satyen Kale, Manfred K. Warmuth: Learning Rotations with Little Regret. COLT 2010: 144-154
[c19]Elad Hazan, Satyen Kale, Manfred K. Warmuth: On-line Variance Minimization in O(n2) per Trial? COLT 2010: 314-315
[c18]Satyen Kale, Lev Reyzin, Robert E. Schapire: Non-Stochastic Bandit Slate Problems. NIPS 2010: 1054-1062
[i3]Satyen Kale, C. Seshadhri: Combinatorial Approximation Algorithms for MaxCut using Random Walks. CoRR abs/1008.3938 (2010)
2000 – 2009
- 2009
[c17]
[c16]
[c15]
[c14]Boaz Barak, Moritz Hardt, Satyen Kale: The uniform hardcore lemma via approximate Bregman projections. SODA 2009: 1193-1200- 2008
[c13]Elad Hazan, Satyen Kale: Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs. COLT 2008: 57-68
[c12]Satyen Kale, Yuval Peres, C. Seshadhri: Noise Tolerance of Expanders and Sublinear Expander Reconstruction. FOCS 2008: 719-728
[c11]- 2007
[j2]Abhiram G. Ranade, Srikanth S. Mahabalarao, Satyen Kale: A variation on SVD based image compression. Image Vision Comput. 25(6): 771-777 (2007)
[j1]Elad Hazan, Amit Agarwal, Satyen Kale: Logarithmic regret algorithms for online convex optimization. Machine Learning 69(2-3): 169-192 (2007)
[c10]Elad Hazan, Satyen Kale: Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria. NIPS 2007
[c9]Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry, Kunal Talwar: Privacy, accuracy, and consistency too: a holistic solution to contingency table release. PODS 2007: 273-282
[c8]T. S. Jayram, Satyen Kale, Erik Vee: Efficient aggregation algorithms for probabilistic data. SODA 2007: 346-355
[c7]Sanjeev Arora, Satyen Kale: A combinatorial, primal-dual approach to semidefinite programs. STOC 2007: 227-236
[i2]Satyen Kale, C. Seshadhri: Testing Expansion in Bounded Degree Graphs. Electronic Colloquium on Computational Complexity (ECCC) 14(076) (2007)
[i1]Satyen Kale: Boosting and hard-core set constructions: a simplified approach. Electronic Colloquium on Computational Complexity (ECCC) 14(131) (2007)- 2006
[c6]Sanjeev Arora, Elad Hazan, Satyen Kale: A Fast Random Sampling Algorithm for Sparsifying Matrices. APPROX-RANDOM 2006: 272-279
[c5]Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal: Logarithmic Regret Algorithms for Online Convex Optimization. COLT 2006: 499-513
[c4]Amit Agarwal, Elad Hazan, Satyen Kale, Robert E. Schapire: Algorithms for portfolio management based on the Newton method. ICML 2006: 9-16- 2005
[c3]Sanjeev Arora, Elad Hazan, Satyen Kale: Fast Algorithms for Approximate Semide.nite Programming using the Multiplicative Weights Update Method. FOCS 2005: 339-348
[c2]Satyen Kale, Elad Hazan, Fengyun Cao, Jaswinder Pal Singh: Analysis and Algorithms for Content-Based Event Matching. ICDCS Workshops 2005: 363-369- 2004
[c1]Sanjeev Arora, Elad Hazan, Satyen Kale: 0(sqrt (log n)) Approximation to SPARSEST CUT in Õ(n2) Time. FOCS 2004: 238-247
Coauthor Index
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last updated on 2013-05-04 21:42 CEST by the dblp team



