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Adam Klivans
Adam Klivans
Professor of Computer Science, University of Texas at Austin
Verified email at cs.utexas.edu
Title
Cited by
Cited by
Year
Agnostically learning halfspaces
AT Kalai, AR Klivans, Y Mansour, RA Servedio
SIAM Journal on Computing 37 (6), 1777-1805, 2008
3452008
Graph nonisomorphism has subexponential size proofs unless the polynomial-time hierarchy collapses
AR Klivans, D Van Melkebeek
Proceedings of the Thirty-First Annual ACM Symposium on Theory of Computing …, 1999
3301999
Learning DNF in time
AR Klivans, R Servedio
Proceedings of the thirty-third annual ACM symposium on Theory of computing …, 2001
2512001
Randomness efficient identity testing of multivariate polynomials
AR Klivans, D Spielman
Proceedings of the thirty-third annual ACM symposium on Theory of computing …, 2001
2482001
Learning intersections and thresholds of halfspaces
AR Klivans, R O'Donnell, RA Servedio
Journal of Computer and System Sciences 68 (4), 808-840, 2004
2242004
Cryptographic hardness for learning intersections of halfspaces
AR Klivans, AA Sherstov
Journal of Computer and System Sciences 75 (1), 2-12, 2009
1982009
Efficient algorithms for outlier-robust regression
A Klivans, PK Kothari, R Meka
Conference On Learning Theory, 1420-1430, 2018
1742018
Hyperparameter optimization: A spectral approach
E Hazan, A Klivans, Y Yuan
arXiv preprint arXiv:1706.00764, 2017
1602017
Reliably learning the relu in polynomial time
S Goel, V Kanade, A Klivans, J Thaler
Conference on Learning Theory, 1004-1042, 2017
1382017
Learning graphical models using multiplicative weights
A Klivans, R Meka
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
1352017
Learning geometric concepts via Gaussian surface area
AR Klivans, R O'Donnell, RA Servedio
2008 49th Annual IEEE Symposium on Foundations of Computer Science, 541-550, 2008
1242008
Learning Halfspaces with Malicious Noise.
AR Klivans, PM Long, RA Servedio
Journal of Machine Learning Research 10 (12), 2009
1222009
Good subnetworks provably exist: Pruning via greedy forward selection
M Ye, C Gong, L Nie, D Zhou, A Klivans, Q Liu
International Conference on Machine Learning, 10820-10830, 2020
1112020
Learning neural networks with two nonlinear layers in polynomial time
S Goel, AR Klivans
Conference on Learning Theory, 1470-1499, 2019
104*2019
Learning one convolutional layer with overlapping patches
S Goel, A Klivans, R Meka
International conference on machine learning, 1783-1791, 2018
852018
An FPTAS for# knapsack and related counting problems
P Gopalan, A Klivans, R Meka, D Štefankovic, S Vempala, E Vigoda
2011 IEEE 52nd Annual Symposium on Foundations of Computer Science, 817-826, 2011
822011
List-decoding Reed-Muller codes over small fields
P Gopalan, AR Klivans, D Zuckerman
Proceedings of the fortieth annual ACM symposium on Theory of computing, 265-274, 2008
822008
List-decodable linear regression
S Karmalkar, A Klivans, P Kothari
Advances in neural information processing systems 32, 2019
812019
Toward Attribute Efficient Learning of Decision Lists and Parities.
AR Klivans, RA Servedio, D Ron
Journal of Machine Learning Research 7 (4), 2006
812006
Agnostically learning decision trees
P Gopalan, AT Kalai, AR Klivans
Proceedings of the fortieth annual ACM symposium on Theory of computing, 527-536, 2008
762008
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