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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
3092008
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
2961999
Learning DNF in time
AR Klivans, R Servedio
Proceedings of the thirty-third annual ACM symposium on Theory of computing …, 2001
2432001
Randomness efficient identity testing of multivariate polynomials
AR Klivans, D Spielman
Proceedings of the thirty-third annual ACM symposium on Theory of computing …, 2001
2362001
Learning intersections and thresholds of halfspaces
AR Klivans, R O'Donnell, RA Servedio
Journal of Computer and System Sciences 68 (4), 808-840, 2004
2102004
Cryptographic hardness for learning intersections of halfspaces
AR Klivans, AA Sherstov
Journal of Computer and System Sciences 75 (1), 2-12, 2009
1812009
Efficient algorithms for outlier-robust regression
A Klivans, PK Kothari, R Meka
Conference On Learning Theory, 1420-1430, 2018
1362018
Reliably learning the relu in polynomial time
S Goel, V Kanade, A Klivans, J Thaler
Conference on Learning Theory, 1004-1042, 2017
1152017
Hyperparameter optimization: A spectral approach
E Hazan, A Klivans, Y Yuan
arXiv preprint arXiv:1706.00764, 2017
1152017
Learning Halfspaces with Malicious Noise.
AR Klivans, PM Long, RA Servedio
Journal of Machine Learning Research 10 (12), 2009
1052009
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
1042008
Learning graphical models using multiplicative weights
A Klivans, R Meka
2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017
992017
Learning neural networks with two nonlinear layers in polynomial time
S Goel, AR Klivans
Conference on Learning Theory, 1470-1499, 2019
89*2019
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
772008
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
762011
Toward Attribute Efficient Learning of Decision Lists and Parities.
AR Klivans, RA Servedio, D Ron
Journal of Machine Learning Research 7 (4), 2006
732006
Learning one convolutional layer with overlapping patches
S Goel, A Klivans, R Meka
International Conference on Machine Learning, 1783-1791, 2018
722018
Learnability beyond AC0
JC Jackson, AR Klivans, RA Servedio
Proceedings of the thiry-fourth annual ACM symposium on Theory of computing …, 2002
712002
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
692020
Learning restricted models of arithmetic circuits
A Klivans, A Shpilka
Theory of computing 2 (1), 185-206, 2006
67*2006
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