Communications of the ACM
On the learnability of Boolean formulae
STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Learning from good and bad data
Learning from good and bad data
Perceptrons: expanded edition
Quantifying inductive bias: AI learning algorithms and Valiant's learning framework
Artificial Intelligence
Learning in the presence of malicious errors
STOC '88 Proceedings of the twentieth annual ACM symposium on Theory of computing
Computational limitations on learning from examples
Journal of the ACM (JACM)
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
Types of noise in data for concept learning
COLT '88 Proceedings of the first annual workshop on Computational learning theory
A general lower bound on the number of examples needed for learning
COLT '88 Proceedings of the first annual workshop on Computational learning theory
A polynomial-time algorithm for learning k-variable pattern languages from examples
COLT '89 Proceedings of the second annual workshop on Computational learning theory
Learning monotone ku DNF formulas on product distributions
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
Learning probabilistic read-once formulas on product distributions
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
Improved learning of AC0 functions
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
SIAM Journal on Computing
The design and analysis of efficient learning algorithms
The design and analysis of efficient learning algorithms
Efficient distribution-free learning of probabilistic concepts
Journal of Computer and System Sciences - Special issue: 31st IEEE conference on foundations of computer science, Oct. 22–24, 1990
Computational Complexity of Machine Learning
Computational Complexity of Machine Learning
Machine Learning
Machine Learning
Learning fallible finite state automata
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Statistical queries and faulty PAC oracles
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Efficient agnostic PAC-learning with simple hypothesis
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Learning linear threshold functions in the presence of classification noise
COLT '94 Proceedings of the seventh 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 learnability of discrete distributions
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
Learning DNF over the uniform distribution using a quantum example oracle
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Noise-tolerant parallel learning of geometric concepts
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On learning from noisy and incomplete examples
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Specification and simulation of statistical query algorithms for efficiency and noise tolerance
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Simple learning algorithms using divide and conquer
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On the Fourier spectrum of monotone functions
Journal of the ACM (JACM)
Noise-tolerant learning near the information-theoretic bound
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
Noise-tolerant distribution-free learning of general geometric concepts
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
On restricted-focus-of-attention learnability of Boolean functions
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Approximating hyper-rectangles: learning and pseudo-random sets
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Malicious Omissions and Errors in Answers to Membership Queries
Machine Learning
Learning with maximum-entropy distributions
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Agnostic learning of geometric patterns (extended abstract)
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
A new composition theorem for learning algorithms
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Self bounding learning algorithms
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Machine Learning - Special issue on the ninth annual conference on computational theory (COLT '96)
A Note on Learning from Multiple-Instance Examples
Machine Learning - Special issue on the ninth annual conference on computational theory (COLT '96)
On Restricted-Focus-of-Attention Learnability of Boolean Functions
Machine Learning - Special issue on the ninth annual conference on computational theory (COLT '96)
Noise-tolerant distribution-free learning of general geometric concepts
Journal of the ACM (JACM)
Microchoice bounds and self bounding learning algorithms
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Noise-tolerant learning, the parity problem, and the statistical query model
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
A neuroidal architecture for cognitive computation
Journal of the ACM (JACM)
Learning fixed-dimension linear thresholds from fragmented data
Information and Computation
Learning with Maximum-Entropy Distributions
Machine Learning
Smoothed analysis of the perceptron algorithm for linear programming
SODA '02 Proceedings of the thirteenth annual ACM-SIAM symposium on Discrete algorithms
A Survey of Methods for Scaling Up Inductive Algorithms
Data Mining and Knowledge Discovery
Theoretical Computer Science
Fast Correlation Attacks through Reconstruction of Linear Polynomials
CRYPTO '00 Proceedings of the 20th Annual International Cryptology Conference on Advances in Cryptology
How Can Computer Science Contribute to Knowledge Discovery?
SOFSEM '01 Proceedings of the 28th Conference on Current Trends in Theory and Practice of Informatics Piestany: Theory and Practice of Informatics
Secure Human Identification Protocols
ASIACRYPT '01 Proceedings of the 7th International Conference on the Theory and Application of Cryptology and Information Security: Advances in Cryptology
Positive and Unlabeled Examples Help Learning
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Learning from Positive and Unlabeled Examples
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Learning Intermediate Concepts
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Real-Valued Multiple-Instance Learning with Queries
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
New Lower Bounds for Statistical Query Learning
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
On Using Extended Statistical Queries to Avoid Membership Queries
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
When Can Two Unsupervised Learners Achieve PAC Separation?
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
New Lower Bounds for Statistical Query Learning
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
PAC Learning from Positive Statistical Queries
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Cryptographic Primitives Based on Hard Learning Problems
CRYPTO '93 Proceedings of the 13th Annual International Cryptology Conference on Advances in Cryptology
On the Efficiency of Noise-Tolerant PAC Algorithms Derived from Statistical Queries
Annals of Mathematics and Artificial Intelligence
On using extended statistical queries to avoid membership queries
The Journal of Machine Learning Research
Sufficient dimensionality reduction
The Journal of Machine Learning Research
A Probabilistic Active Support Vector Learning Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning nonsingular phylogenies and hidden Markov models
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Adapting RBF Neural Networks to Multi-Instance Learning
Neural Processing Letters
Learning in natural language: theory and algorithmic approaches
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Learning from positive and unlabeled examples
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
An active approach to spoken language processing
ACM Transactions on Speech and Language Processing (TSLP)
Unconditional lower bounds for learning intersections of halfspaces
Machine Learning
Computational Complexity
A tamper-proof and lightweight authentication scheme
Pervasive and Mobile Computing
Unclonable Lightweight Authentication Scheme
ICICS '08 Proceedings of the 10th International Conference on Information and Communications Security
Process-oriented estimation of generalization error
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Learning to reason the non monotonic case
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Learning with annotation noise
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Ranking and semi-supervised classification on large scale graphs using map-reduce
TextGraphs-4 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing
Real-valued multiple-instance learning with queries
Journal of Computer and System Sciences
A lower bound for agnostically learning disjunctions
COLT'07 Proceedings of the 20th annual conference on Learning theory
PUF-HB: a tamper-resilient HB based authentication protocol
ACNS'08 Proceedings of the 6th international conference on Applied cryptography and network security
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Algorithms and theory of computation handbook
P4P: practical large-scale privacy-preserving distributed computation robust against malicious users
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
TAMC'11 Proceedings of the 8th annual conference on Theory and applications of models of computation
On noise-tolerant learning of sparse parities and related problems
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Learning Bayesian nets that perform well
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learnability of probabilistic automata via oracles
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Improved lower bounds for learning intersections of halfspaces
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Identification in the limit of systematic-noisy languages
ICGI'06 Proceedings of the 8th international conference on Grammatical Inference: algorithms and applications
TCC'12 Proceedings of the 9th international conference on Theory of Cryptography
Practical private information aggregation in large networks
NordSec'10 Proceedings of the 15th Nordic conference on Information Security Technology for Applications
Integrity verification of cloud-hosted data analytics computations
Proceedings of the 1st International Workshop on Cloud Intelligence
A Computational Learning Theory of Active Object Recognition Under Uncertainty
International Journal of Computer Vision
Revisiting lightweight authentication protocols based on hard learning problems
Proceedings of the sixth ACM conference on Security and privacy in wireless and mobile networks
Theoretical Computer Science
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