On-line evaluation and prediction using linear functions
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Analysis of two gradient-based algorithms for on-line regression
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
General convergence results for linear discriminant updates
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Large margin classification using the perceptron algorithm
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Machine Learning - Special issue on context sensitivity and concept drift
Machine Learning - Special issue on context sensitivity and concept drift
Regret bounds for prediction problems
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Additive models, boosting, and inference for generalized divergences
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Boosting as entropy projection
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
A unifying review of linear Gaussian models
Neural Computation
Neural Computation
Convergence properties of the softassign quadratic assignment algorithm
Neural Computation
Large Margin Classification Using the Perceptron Algorithm
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Probability theory for the Brier game
Theoretical Computer Science
Relative Loss Bounds for Multidimensional Regression Problems
Machine Learning
A Principal Components Approach to Combining Regression Estimates
Machine Learning
General Convergence Results for Linear Discriminant Updates
Machine Learning
Logistic Regression, AdaBoost and Bregman Distances
Machine Learning
Structure in the Space of Value Functions
Machine Learning
Relative Loss Bounds for Temporal-Difference Learning
Machine Learning
Predicting nearly as well as the best pruning of a planar decision graph
Theoretical Computer Science
A geometric approach to leveraging weak learners
Theoretical Computer Science
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Predicting Nearly as well as the best Pruning of a Planar Decision Graph
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
On Relative Loss Bounds in Generalized Linear Regression
FCT '99 Proceedings of the 12th International Symposium on Fundamentals of Computation Theory
Online Bayesian Video Summarization and Linking
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Ultraconservative Online Algorithms for Multiclass Problems
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
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Learning Additive Models Online with Fast Evaluating Kernels
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Path Kernels and Multiplicative Updates
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Neural Computation
Data perturbation for escaping local maxima in learning
Eighteenth national conference on Artificial intelligence
Proceedings of the fifteenth annual ACM symposium on Parallel algorithms and architectures
Multiple-Instance Learning of Real-Valued Geometric Patterns
Annals of Mathematics and Artificial Intelligence
An introduction to boosting and leveraging
Advanced lectures on machine learning
Online learning of linear classifiers
Advanced lectures on machine learning
Tracking the best linear predictor
The Journal of Machine Learning Research
Prior knowledge and preferential structures in gradient descent learning algorithms
The Journal of Machine Learning Research
Covering number bounds of certain regularized linear function classes
The Journal of Machine Learning Research
A new approximate maximal margin classification algorithm
The Journal of Machine Learning Research
Text chunking based on a generalization of winnow
The Journal of Machine Learning Research
Ultraconservative online algorithms for multiclass problems
The Journal of Machine Learning Research
Tracking a small set of experts by mixing past posteriors
The Journal of Machine Learning Research
The Robustness of the p-Norm Algorithms
Machine Learning
Style mining of electronic messages for multiple authorship discrimination: first results
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Path kernels and multiplicative updates
The Journal of Machine Learning Research
Learning phonetic similarity for matching named entity translations and mining new translations
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Large margin hierarchical classification
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Neural learning by geometric integration of reduced 'rigid-body' equations
Journal of Computational and Applied Mathematics
Randomized Variable Elimination
The Journal of Machine Learning Research
Online convex optimization in the bandit setting: gradient descent without a gradient
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Recursive Aggregation of Estimators by the Mirror Descent Algorithm with Averaging
Problems of Information Transmission
Neural Computation
On "Natural" Learning and Pruning in Multilayered Perceptrons
Neural Computation
Adaptive algorithms for sparse echo cancellation
Signal Processing
ICML '06 Proceedings of the 23rd international conference on Machine learning
The Journal of Machine Learning Research
Named entity translation matching and learning: With application for mining unseen translations
ACM Transactions on Information Systems (TOIS)
Online Passive-Aggressive Algorithms
The Journal of Machine Learning Research
Step Size Adaptation in Reproducing Kernel Hilbert Space
The Journal of Machine Learning Research
Multiplicative Updates for Nonnegative Quadratic Programming
Neural Computation
Information-theoretic metric learning
Proceedings of the 24th international conference on Machine learning
Exponentiated gradient algorithms for log-linear structured prediction
Proceedings of the 24th international conference on Machine learning
Online kernel PCA with entropic matrix updates
Proceedings of the 24th international conference on Machine learning
Proceedings of the 24th international conference on Machine learning
Set-membership proportionate affine projection algorithms
EURASIP Journal on Audio, Speech, and Music Processing
A primal-dual perspective of online learning algorithms
Machine Learning
Competing with wild prediction rules
Machine Learning
Multiplicative updates for non-negative projections
Neurocomputing
Efficient projections onto the l1-ball for learning in high dimensions
Proceedings of the 25th international conference on Machine learning
Efficient bandit algorithms for online multiclass prediction
Proceedings of the 25th international conference on Machine learning
Proceedings of the 25th international conference on Machine learning
On updates that constrain the features' connections during learning
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to assign degrees of belief in relational domains
Machine Learning
Online Learning of Complex Prediction Problems Using Simultaneous Projections
The Journal of Machine Learning Research
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
The Journal of Machine Learning Research
A class of stochastic gradient algorithms with exponentiated error cost functions
Digital Signal Processing
Learning prediction suffix trees with Winnow
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Stochastic methods for l1 regularized loss minimization
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Online learning by ellipsoid method
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Using LDA to detect semantically incoherent documents
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Limited stochastic meta-descent for kernel-based online learning
Neural Computation
Online Markov Decision Processes
Mathematics of Operations Research
Cutting-plane training of structural SVMs
Machine Learning
CIXL2: a crossover operator for evolutionary algorithms based on population features
Journal of Artificial Intelligence Research
Ensembles of partially trained SWMs with multiplicative updates
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
The exponentiated subgradient algorithm for heuristic Boolean programming
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Adaptive combination of proportionate filters for sparse echo cancellation
IEEE Transactions on Audio, Speech, and Language Processing
Krylov-proportionate adaptive filtering techniques not limited to sparse systems
IEEE Transactions on Signal Processing
Adaptive fuzzy filtering in a deterministic setting
IEEE Transactions on Fuzzy Systems
A collaborative training algorithm for distributed learning
IEEE Transactions on Information Theory
Using Keyword-Based Approaches to Adaptively Predict Interest in Museum Exhibits
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Automatic Document Tagging in Social Semantic Digital Library
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Learning Permutations with Exponential Weights
The Journal of Machine Learning Research
Expert mixture methods for adaptive channel equalization
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Content-based recommendation systems
The adaptive web
Competing with stationary prediction strategies
COLT'07 Proceedings of the 20th annual conference on Learning theory
Learning permutations with exponential weights
COLT'07 Proceedings of the 20th annual conference on Learning theory
When is there a free matrix lunch?
COLT'07 Proceedings of the 20th annual conference on Learning theory
Multiplicative updates for L1-regularized linear and logistic regression
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Learning to assign degrees of belief in relational domains
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
A new understanding of prediction markets via no-regret learning
Proceedings of the 11th ACM conference on Electronic commerce
Linear and nonlinear projective nonnegative matrix factorization
IEEE Transactions on Neural Networks
Exploitation and exploration in a performance based contextual advertising system
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Steady-state MSE performance analysis of mixture approaches to adaptive filtering
IEEE Transactions on Signal Processing
Learning topical transition probabilities in click through data with regression models
Procceedings of the 13th International Workshop on the Web and Databases
Artificial Intelligence Review
A regularization approach to metrical task systems
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
An identity for kernel ridge regression
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach
The Journal of Machine Learning Research
Monitoring processes using sensor networks and an extended Kalman filter
CONTROL'05 Proceedings of the 2005 WSEAS international conference on Dynamical systems and control
Meta optimization and its application to portfolio selection
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Stochastic Methods for l1-regularized Loss Minimization
The Journal of Machine Learning Research
Adaptive and optimal online linear regression on l1-balls
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Re-adapting the regularization of weights for non-stationary regression
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Relative loss bounds for on-line density estimation with the exponential family of distributions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A kernel-based Perceptron with dynamic memory
Neural Networks
Defensive prediction with expert advice
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Online learning meets optimization in the dual
COLT'06 Proceedings of the 19th annual conference on Learning Theory
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Continuous experts and the binning algorithm
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Competing with wild prediction rules
COLT'06 Proceedings of the 19th annual conference on Learning Theory
COLT'06 Proceedings of the 19th annual conference on Learning Theory
On-Line regression competitive with reproducing kernel hilbert spaces
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
Fair and balanced: learning to present news stories
Proceedings of the fifth ACM international conference on Web search and data mining
An online algorithm for hierarchical phoneme classification
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
COLT'05 Proceedings of the 18th annual conference on Learning Theory
A survey of techniques for incremental learning of HMM parameters
Information Sciences: an International Journal
Online Learning and Online Convex Optimization
Foundations and Trends® in Machine Learning
Nonnegative matrix factorization via generalized product rule and its application for classification
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Linear support vector machines via dual cached loops
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Hope and fear for discriminative training of statistical translation models
The Journal of Machine Learning Research
Regularization techniques for learning with matrices
The Journal of Machine Learning Research
Confidence-weighted linear classification for text categorization
The Journal of Machine Learning Research
A novel adaptive diversity achieving channel estimation scheme for LTE
Proceedings of the first ACM international workshop on Practical issues and applications in next generation wireless networks
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
Optimized online rank learning for machine translation
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Adaptive mixture methods based on Bregman divergences
Digital Signal Processing
A contextual-bandit algorithm for mobile context-aware recommender system
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
An identity for kernel ridge regression
Theoretical Computer Science
Exploration / exploitation trade-off in mobile context-aware recommender systems
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Efficient Market Making via Convex Optimization, and a Connection to Online Learning
ACM Transactions on Economics and Computation - Special Issue on Algorithmic Game Theory
Adaptive regularization of weight vectors
Machine Learning
eHeritage of shadow puppetry: creation and manipulation
Proceedings of the 21st ACM international conference on Multimedia
Retargeted matrix factorization for collaborative filtering
Proceedings of the 7th ACM conference on Recommender systems
Adaptive and optimal online linear regression on ℓ1-balls
Theoretical Computer Science
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