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2010 – 2019
- 2017
[j10]Thomas Steinke, Salil P. Vadhan, Andrew Wan:
Pseudorandomness and Fourier-Growth Bounds for Width-3 Branching Programs. Theory Comput. 13(1): 1-50 (2017)- 2015
- [j9]Ilias Diakonikolas, Ragesh Jaiswal, Rocco A. Servedio, Li-Yang Tan, Andrew Wan:
Noise Stable Halfspaces are Close to Very Small Juntas. Chic. J. Theor. Comput. Sci. 2015 (2015) - [c20]Arun S. Maiya, Dale Visser, Andrew Wan:
Mining Measured Information from Text. SIGIR 2015: 899-902 - [c19]Dana Dachman-Soled, Vitaly Feldman, Li-Yang Tan, Andrew Wan, Karl Wimmer:
Approximate resilience, monotonicity, and the complexity of agnostic learning. SODA 2015: 498-511 - [i14]Arun S. Maiya, Dale Visser, Andrew Wan:
Mining Measured Information from Text. CoRR abs/1505.01072 (2015) - [i13]Eric Blais, Li-Yang Tan, Andrew Wan:
An inequality for the Fourier spectrum of parity decision trees. CoRR abs/1506.01055 (2015) - 2014
- [j8]Ilias Diakonikolas, Rocco A. Servedio
, Li-Yang Tan, Andrew Wan:
A Regularity Lemma and Low-Weight Approximators for Low-Degree Polynomial Threshold Functions. Theory Comput. 10: 27-53 (2014) - [c18]Thomas Steinke, Salil P. Vadhan, Andrew Wan:
Pseudorandomness and Fourier Growth Bounds for Width-3 Branching Programs. APPROX-RANDOM 2014: 885-899 - [c17]Adi Livnat, Christos H. Papadimitriou, Aviad Rubinstein, Gregory Valiant, Andrew Wan:
Satisfiability and Evolution. FOCS 2014: 524-530 - [c16]Andrew Wan, John Wright, Chenggang Wu:
Decision trees, protocols and the entropy-influence conjecture. ITCS 2014: 67-80 - [c15]Karthekeyan Chandrasekaran, Justin Thaler, Jonathan R. Ullman, Andrew Wan:
Faster private release of marginals on small databases. ITCS 2014: 387-402 - [i12]Dana Dachman-Soled, Vitaly Feldman, Li-Yang Tan, Andrew Wan, Karl Wimmer:
Approximate resilience, monotonicity, and the complexity of agnostic learning. CoRR abs/1405.5268 (2014) - [i11]Thomas Steinke, Salil P. Vadhan, Andrew Wan:
Pseudorandomness and Fourier Growth Bounds for Width 3 Branching Programs. CoRR abs/1405.7028 (2014) - 2013
- [i10]Karthekeyan Chandrasekaran, Justin Thaler, Jonathan R. Ullman, Andrew Wan:
Faster Private Release of Marginals on Small Databases. CoRR abs/1304.3754 (2013) - [i9]Adi Livnat, Christos H. Papadimitriou, Aviad Rubinstein, Andrew Wan:
Satisfiability and Evolution. CoRR abs/1312.1983 (2013) - [i8]Andrew Wan, John Wright, Chenggang Wu:
Decision Trees, Protocols, and the Fourier Entropy-Influence Conjecture. CoRR abs/1312.3003 (2013) - 2012
- [c14]Andrej Bogdanov, Periklis A. Papakonstantinou, Andrew Wan:
Pseudorandomness for Linear Length Branching Programs and Stack Machines. APPROX-RANDOM 2012: 447-458 - [i7]Ilias Diakonikolas, Ragesh Jaiswal, Rocco A. Servedio, Li-Yang Tan, Andrew Wan:
On the Distribution of the Fourier Spectrum of Halfspaces. CoRR abs/1202.6680 (2012) - 2011
- [j7]Ilias Diakonikolas, Homin K. Lee, Kevin Matulef, Rocco A. Servedio, Andrew Wan:
Efficiently Testing Sparse GF(2) Polynomials. Algorithmica 61(3): 580-605 (2011) - [j6]Jeffrey C. Jackson, Homin K. Lee, Rocco A. Servedio, Andrew Wan:
Learning random monotone DNF. Discret. Appl. Math. 159(5): 259-271 (2011) - [c13]Andrej Bogdanov, Periklis A. Papakonstantinou, Andrew Wan:
Pseudorandomness for Read-Once Formulas. FOCS 2011: 240-246 - [i6]Andrej Bogdanov, Periklis A. Papakonstantinou, Andrew Wan:
Pseudorandomness for read-once formulas. Electron. Colloquium Comput. Complex. TR11 (2011) - 2010
- [c12]Ilias Diakonikolas, Rocco A. Servedio, Li-Yang Tan, Andrew Wan:
A Regularity Lemma, and Low-Weight Approximators, for Low-Degree Polynomial Threshold Functions. CCC 2010: 211-222 - [c11]Adam R. Klivans, Homin K. Lee, Andrew Wan:
Mansour's Conjecture is True for Random DNF Formulas. COLT 2010: 368-380 - [c10]Jur van den Berg, Stephen Miller, Daniel Duckworth, Humphrey Hu, Andrew Wan, Xiao-Yu Fu, Kenneth Y. Goldberg, Pieter Abbeel:
Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations. ICRA 2010: 2074-2081 - [c9]Andrej Bogdanov, Kunal Talwar, Andrew Wan:
Hard Instances for Satisfiability and Quasi-one-way Functions. ICS 2010: 290-300 - [i5]Adam R. Klivans, Homin K. Lee, Andrew Wan:
Mansour's Conjecture is True for Random DNF Formulas. Electron. Colloquium Comput. Complex. TR10 (2010)
2000 – 2009
- 2009
- [j5]Dana Dachman-Soled, Homin K. Lee, Tal Malkin, Rocco A. Servedio, Andrew Wan, Hoeteck Wee:
Optimal Cryptographic Hardness of Learning Monotone Functions. Theory Comput. 5(1): 257-282 (2009) - [i4]Ilias Diakonikolas, Rocco A. Servedio, Li-Yang Tan, Andrew Wan:
A regularity lemma, and low-weight approximators, for low-degree polynomial threshold functions. CoRR abs/0909.4727 (2009) - 2008
- [c8]Jeffrey C. Jackson, Homin K. Lee, Rocco A. Servedio, Andrew Wan:
Learning Random Monotone DNF. APPROX-RANDOM 2008: 483-497 - [c7]Dana Dachman-Soled, Homin K. Lee, Tal Malkin, Rocco A. Servedio, Andrew Wan, Hoeteck Wee:
Optimal Cryptographic Hardness of Learning Monotone Functions. ICALP (1) 2008: 36-47 - [c6]Ilias Diakonikolas, Homin K. Lee, Kevin Matulef, Rocco A. Servedio, Andrew Wan:
Efficiently Testing Sparse GF(2) Polynomials. ICALP (1) 2008: 502-514 - [i3]Ilias Diakonikolas, Homin K. Lee, Kevin Matulef, Rocco A. Servedio, Andrew Wan:
Efficiently Testing Sparse GF(2) Polynomials. CoRR abs/0805.1765 (2008) - 2007
- [j4]Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andrew Wan:
Separating Models of Learning from Correlated and Uncorrelated Data. J. Mach. Learn. Res. 8: 277-290 (2007) - [j3]Homin K. Lee, Rocco A. Servedio, Andrew Wan:
DNF are teachable in the average case. Mach. Learn. 69(2-3): 79-96 (2007) - [c5]Ilias Diakonikolas, Homin K. Lee, Kevin Matulef, Krzysztof Onak, Ronitt Rubinfeld, Rocco A. Servedio, Andrew Wan:
Testing for Concise Representations. FOCS 2007: 549-558 - [i2]Ilias Diakonikolas, Homin K. Lee, Kevin Matulef, Krzysztof Onak, Ronitt Rubinfeld, Rocco A. Servedio, Andrew Wan:
Testing for Concise Representations. Electron. Colloquium Comput. Complex. TR07 (2007) - [i1]Jeffrey C. Jackson, Homin K. Lee, Rocco A. Servedio, Andrew Wan:
Learning Random Monotone DNF. Electron. Colloquium Comput. Complex. TR07 (2007) - 2006
- [j2]Yixin Chen, Andrew Wan, Wei Liu:
A fast parallel algorithm for finding the longest common sequence of multiple biosequences. BMC Bioinform. 7(S-4) (2006) - [c4]Homin K. Lee, Rocco A. Servedio, Andrew Wan:
DNF Are Teachable in the Average Case. COLT 2006: 214-228 - [c3]Andrew Wan, Abdel Rigumye, Phillip Jones:
Profile Based Routing and Billing Multimedia Content Delivery Network. ICN/ICONS/MCL 2006: 172 - [c2]Benjamin W. Wah, Yixin Chen, Andrew Wan:
Constrained Global Optimization by Constraint Partitioning and Simulated Annealing. ICTAI 2006: 265-274 - 2005
- [j1]Rocco A. Servedio, Andrew Wan:
Computing sparse permanents faster. Inf. Process. Lett. 96(3): 89-92 (2005) - [c1]Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andrew Wan:
Separating Models of Learning from Correlated and Uncorrelated Data. COLT 2005: 637-651
Coauthor Index
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