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Adam R. Klivans
Adam Klivans
2010 – today
- 2013
[i16]
[i15]Adam Klivans, Raghu Meka: Moment-Matching Polynomials. Electronic Colloquium on Computational Complexity (ECCC) 20: 8 (2013)- 2012
[j16]Prahladh Harsha, Adam Klivans, Raghu Meka: An invariance principle for polytopes. J. ACM 59(6): 29 (2012)
[j15]Parikshit Gopalan, Adam R. Klivans, Raghu Meka: Learning Functions of Halfspaces using Prefix Covers. Journal of Machine Learning Research - Proceedings Track 23: 15.1-15.10 (2012)
[c32]Eshan Chattopadhyay, Adam Klivans, Pravesh Kothari: An Explicit VC-Theorem for Low-Degree Polynomials. APPROX-RANDOM 2012: 495-504
[c31]Mahdi Cheraghchi, Adam Klivans, Pravesh Kothari, Homin K. Lee: Submodular functions are noise stable. SODA 2012: 1586-1592
[i14]Eshan Chattopadhyay, Adam Klivans, Pravesh Kothari: An Explicit VC-Theorem for Low-Degree Polynomials. Electronic Colloquium on Computational Complexity (ECCC) 19: 127 (2012)- 2011
[c30]Parikshit Gopalan, Adam Klivans, Raghu Meka, Daniel Stefankovic, Santosh Vempala, Eric Vigoda: An FPTAS for #Knapsack and Related Counting Problems. FOCS 2011: 817-826
[i13]Mahdi Cheraghchi, Adam Klivans, Pravesh Kothari, Homin K. Lee: Submodular Functions Are Noise Stable. CoRR abs/1106.0518 (2011)
[i12]Mahdi Cheraghchi, Adam Klivans, Pravesh Kothari, Homin K. Lee: Submodular Functions Are Noise Stable. Electronic Colloquium on Computational Complexity (ECCC) 18: 90 (2011)- 2010
[j14]Adam R. Klivans, Alexander A. Sherstov: Lower Bounds for Agnostic Learning via Approximate Rank. Computational Complexity 19(4): 581-604 (2010)
[c29]Adam R. Klivans, Homin K. Lee, Andrew Wan: Mansour's Conjecture is True for Random DNF Formulas. COLT 2010: 368-380
[c28]Ilias Diakonikolas, Prahladh Harsha, Adam Klivans, Raghu Meka, Prasad Raghavendra, Rocco A. Servedio, Li-Yang Tan: Bounding the average sensitivity and noise sensitivity of polynomial threshold functions. STOC 2010: 533-542
[c27]Prahladh Harsha, Adam Klivans, Raghu Meka: An invariance principle for polytopes. STOC 2010: 543-552
[i11]Parikshit Gopalan, Adam Klivans, Raghu Meka: Polynomial-Time Approximation Schemes for Knapsack and Related Counting Problems using Branching Programs. CoRR abs/1008.3187 (2010)
[i10]Adam R. Klivans, Homin K. Lee, Andrew Wan: Mansour's Conjecture is True for Random DNF Formulas. Electronic Colloquium on Computational Complexity (ECCC) 17: 23 (2010)
[i9]Parikshit Gopalan, Adam Klivans, Raghu Meka: Polynomial-Time Approximation Schemes for Knapsack and Related Counting Problems using Branching Programs. Electronic Colloquium on Computational Complexity (ECCC) 17: 133 (2010)
2000 – 2009
- 2009
[j13]Adam R. Klivans, Alexander A. Sherstov: Cryptographic hardness for learning intersections of halfspaces. J. Comput. Syst. Sci. 75(1): 2-12 (2009)
[j12]Lance Fortnow, Adam R. Klivans: Efficient learning algorithms yield circuit lower bounds. J. Comput. Syst. Sci. 75(1): 27-36 (2009)
[j11]Adam R. Klivans, Philip M. Long, Rocco A. Servedio: Learning Halfspaces with Malicious Noise. Journal of Machine Learning Research 10: 2715-2740 (2009)
[c26]Adam R. Klivans, Philip M. Long, Alex K. Tang: Baum's Algorithm Learns Intersections of Halfspaces with Respect to Log-Concave Distributions. APPROX-RANDOM 2009: 588-600
[c25]Adam R. Klivans, Philip M. Long, Rocco A. Servedio: Learning Halfspaces with Malicious Noise. ICALP (1) 2009: 609-621
[i8]Prahladh Harsha, Adam Klivans, Raghu Meka: Bounding the Sensitivity of Polynomial Threshold Functions. CoRR abs/0909.5175 (2009)
[i7]Prahladh Harsha, Adam R. Klivans, Raghu Meka: An Invariance Principle for Polytopes. CoRR abs/0912.4884 (2009)
[i6]Prahladh Harsha, Adam Klivans, Raghu Meka: An Invariance Principle for Polytopes. Electronic Colloquium on Computational Complexity (ECCC) 16: 144 (2009)- 2008
[j10]Michael Alekhnovich, Mark Braverman, Vitaly Feldman, Adam R. Klivans, Toniann Pitassi: The complexity of properly learning simple concept classes. J. Comput. Syst. Sci. 74(1): 16-34 (2008)
[j9]Adam R. Klivans, Rocco A. Servedio: Learning intersections of halfspaces with a margin. J. Comput. Syst. Sci. 74(1): 35-48 (2008)
[j8]Adam Tauman Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio: Agnostically Learning Halfspaces. SIAM J. Comput. 37(6): 1777-1805 (2008)
[c24]Parikshit Gopalan, Adam Kalai, Adam R. Klivans: A Query Algorithm for Agnostically Learning DNF?. COLT 2008: 515-516
[c23]Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio: Learning Geometric Concepts via Gaussian Surface Area. FOCS 2008: 541-550
[c22]Parikshit Gopalan, Adam R. Klivans, David Zuckerman: List-decoding reed-muller codes over small fields. STOC 2008: 265-274
[c21]Parikshit Gopalan, Adam Tauman Kalai, Adam R. Klivans: Agnostically learning decision trees. STOC 2008: 527-536
[r1]- 2007
[j7]Adam R. Klivans, Alexander A. Sherstov: Unconditional lower bounds for learning intersections of halfspaces. Machine Learning 69(2-3): 97-114 (2007)
[c20]Adam R. Klivans, Alexander A. Sherstov: A Lower Bound for Agnostically Learning Disjunctions. COLT 2007: 409-423- 2006
[j6]Adam R. Klivans, Rocco A. Servedio: Toward Attribute Efficient Learning of Decision Lists and Parities. Journal of Machine Learning Research 7: 587-602 (2006)
[j5]Adam R. Klivans, Amir Shpilka: Learning Restricted Models of Arithmetic Circuits. Theory of Computing 2(1): 185-206 (2006)
[c19]Adam R. Klivans, Alexander A. Sherstov: Improved Lower Bounds for Learning Intersections of Halfspaces. COLT 2006: 335-349
[c18]Lance Fortnow, Adam R. Klivans: Efficient Learning Algorithms Yield Circuit Lower Bounds. COLT 2006: 350-363
[c17]Adam R. Klivans, Alexander A. Sherstov: Cryptographic Hardness for Learning Intersections of Halfspaces. FOCS 2006: 553-562
[c16]
[i5]Adam R. Klivans, Alexander A. Sherstov: Cryptographic Hardness Results for Learning Intersections of Halfspaces. Electronic Colloquium on Computational Complexity (ECCC) 13(057) (2006)- 2005
[c15]Lance Fortnow, Adam R. Klivans: NP with Small Advice. IEEE Conference on Computational Complexity 2005: 228-234
[c14]Adam Tauman Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio: Agnostically Learning Halfspaces. FOCS 2005: 11-20
[i4]Lance Fortnow, Adam R. Klivans: Linear Advice for Randomized Logarithmic Space. Electronic Colloquium on Computational Complexity (ECCC)(042) (2005)- 2004
[j4]Adam R. Klivans, Rocco A. Servedio: Learning DNF in time 2Õ(n1/3). J. Comput. Syst. Sci. 68(2): 303-318 (2004)
[j3]Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio: Learning intersections and thresholds of halfspaces. J. Comput. Syst. Sci. 68(4): 808-840 (2004)
[c13]Adam R. Klivans, Rocco A. Servedio: Toward Attribute Efficient Learning of Decision Lists and Parities. COLT 2004: 224-238
[c12]Adam R. Klivans, Rocco A. Servedio: Learning Intersections of Halfspaces with a Margin. COLT 2004: 348-362
[c11]Adam R. Klivans, Rocco A. Servedio: Perceptron-Like Performance for Intersections of Halfspaces. COLT 2004: 639-640
[c10]Michael Alekhnovich, Mark Braverman, Vitaly Feldman, Adam R. Klivans, Toniann Pitassi: Learnability and Automatizability. FOCS 2004: 621-630
[i3]Lance Fortnow, Adam R. Klivans: NP with Small Advice. Electronic Colloquium on Computational Complexity (ECCC)(103) (2004)- 2003
[j2]Adam R. Klivans, Rocco A. Servedio: Boosting and Hard-Core Set Construction. Machine Learning 51(3): 217-238 (2003)
[c9]Adam Klivans, Amir Shpilka: Learning Arithmetic Circuits via Partial Derivatives. COLT 2003: 463-476
[i2]Adam R. Klivans, Rocco A. Servedio: Toward Attribute Efficient Learning Algorithms. CoRR cs.LG/0311042 (2003)- 2002
[j1]Adam Klivans, Dieter van Melkebeek: Graph Nonisomorphism Has Subexponential Size Proofs Unless the Polynomial-Time Hierarchy Collapses. SIAM J. Comput. 31(5): 1501-1526 (2002)
[c8]Jeffrey C. Jackson, Adam Klivans, Rocco A. Servedio: Learnability beyond AC0. IEEE Conference on Computational Complexity 2002: 26
[c7]Adam Klivans, Ryan O'Donnell, Rocco A. Servedio: Learning Intersections and Thresholds of Halfspaces. FOCS 2002: 177-186
[c6]- 2001
[c5]
[c4]Adam Klivans, Daniel A. Spielman: Randomness efficient identity testing of multivariate polynomials. STOC 2001: 216-223
[c3]
1990 – 1999
- 1999
[c2]
[c1]Adam Klivans, Dieter van Melkebeek: Graph Nonisomorphism has Subexponential Size Proofs Unless the Polynomial-Time Hierarchy Collapses. STOC 1999: 659-667- 1998
[i1]Adam Klivans, Dieter van Melkebeek: Graph Nonisomorphism has Subexponential Size Proofs Unless the Polynomial-Time Hierarchy Collapses. Electronic Colloquium on Computational Complexity (ECCC) 5(75) (1998)
Coauthor Index
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last updated on 2013-04-18 21:26 CEST by the dblp team



