Computational learning theory: survey and selected bibliography
STOC '92 Proceedings of the twenty-fourth annual ACM symposium on Theory of computing
Cryptographic hardness of distribution-specific learning
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Efficient noise-tolerant learning from statistical queries
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Statistical queries and faulty PAC oracles
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On learning embedded symmetric concepts
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Weakly learning DNF and characterizing statistical query learning using Fourier analysis
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
On the Fourier spectrum of monotone functions
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
On the Fourier spectrum of monotone functions
Journal of the ACM (JACM)
Efficient noise-tolerant learning from statistical queries
Journal of the ACM (JACM)
Implementation Issues in the Fourier Transform Algorithm
Machine Learning
On Learning Monotone DNF under Product Distributions
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
On learning monotone DNF under product distributions
Information and Computation
Testing monotone high-dimensional distributions
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Variable Influences in Conjunctive Normal Forms
SAT '09 Proceedings of the 12th International Conference on Theory and Applications of Satisfiability Testing
Application of a generalization of russo's formula to learning from multiple random oracles
Combinatorics, Probability and Computing
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions
The Journal of Machine Learning Research
On evolvability: the swapping algorithm, product distributions, and covariance
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
Learning and lower bounds for AC0 with threshold gates
APPROX/RANDOM'10 Proceedings of the 13th international conference on Approximation, and 14 the International conference on Randomization, and combinatorial optimization: algorithms and techniques
Submodular functions are noise stable
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
Learning juntas in the presence of noise
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
When does greedy learning of relevant attributes succeed?: a fourier-based characterization
COCOON'07 Proceedings of the 13th annual international conference on Computing and Combinatorics
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