Guest editorial: Learning theory
Machine Learning
Improved second-order bounds for prediction with expert advice
Machine Learning
Regret Minimization Under Partial Monitoring
Mathematics of Operations Research
Multi-agent learning for engineers
Artificial Intelligence
Worst-Case Analysis of Selective Sampling for Linear Classification
The Journal of Machine Learning Research
The communication complexity of uncoupled nash equilibrium procedures
Proceedings of the thirty-ninth annual ACM symposium on Theory of computing
Online discovery of similarity mappings
Proceedings of the 24th international conference on Machine learning
Improving the aggregating algorithm for regression
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Logarithmic regret algorithms for online convex optimization
Machine Learning
Non-asymptotic calibration and resolution
Theoretical Computer Science
The influence limiter: provably manipulation-resistant recommender systems
Proceedings of the 2007 ACM conference on Recommender systems
Learning, regret minimization and option pricing
TARK '07 Proceedings of the 11th conference on Theoretical aspects of rationality and knowledge
A plant location guide for the unsure
Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
Multi-armed bandits in metric spaces
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Computing correlated equilibria in multi-player games
Journal of the ACM (JACM)
Regret to the best vs. regret to the average
Machine Learning
Complexity of combinatorial market makers
Proceedings of the 9th ACM conference on Electronic commerce
Prediction with expert advice for the Brier game
Proceedings of the 25th international conference on Machine learning
Consistency of discrete Bayesian learning
Theoretical Computer Science
On the possibility of learning in reactive environments with arbitrary dependence
Theoretical Computer Science
Leading strategies in competitive on-line prediction
Theoretical Computer Science
Weighted Kernel Regression for Predicting Changing Dependencies
ECML '07 Proceedings of the 18th European conference on Machine Learning
Following the Perturbed Leader to Gamble at Multi-armed Bandits
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Online Regression Competitive with Changing Predictors
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Growth Optimal Investment with Transaction Costs
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Supermartingales in Prediction with Expert Advice
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Aggregating Algorithm for a Space of Analytic Functions
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Learning to Trade with Incremental Support Vector Regression Experts
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
The information cost of manipulation-resistance in recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Open problems in the security of learning
Proceedings of the 1st ACM workshop on Workshop on AISec
The weak aggregating algorithm and weak mixability
Journal of Computer and System Sciences
Markov Decision Processes with Arbitrary Reward Processes
Recent Advances in Reinforcement Learning
Manipulation-resistant recommender systems through influence limits
ACM SIGecom Exchanges
Better algorithms for benign bandits
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Local Two-Stage Myopic Dynamics for Network Formation Games
WINE '08 Proceedings of the 4th International Workshop on Internet and Network Economics
Game-theoretic timing analysis
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Adaptive bidding for display advertising
Proceedings of the 18th international conference on World wide web
Strategic Manipulation of Empirical Tests
Mathematics of Operations Research
Intrinsic robustness of the price of anarchy
Proceedings of the forty-first annual ACM symposium on Theory of computing
Efficient learning algorithms for changing environments
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
A simpler unified analysis of budget perceptrons
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Piecewise-stationary bandit problems with side observations
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Regret-based online ranking for a growing digital library
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Turning down the noise in the blogosphere
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Multiagent learning in large anonymous games
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Characterizing truthful multi-armed bandit mechanisms: extended abstract
Proceedings of the 10th ACM conference on Electronic commerce
Sequential prediction under incomplete feedback
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Online Rule Learning via Weighted Model Counting
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Load balancing without regret in the bulletin board model
Proceedings of the 28th ACM symposium on Principles of distributed computing
Markov Decision Processes with Arbitrary Reward Processes
Mathematics of Operations Research
Online Prediction of Ovarian Cancer
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Online learning with expert advice and finite-horizon constraints
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
A machine learning approach for statistical software testing
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Motif discovery in physiological datasets: A methodology for inferring predictive elements
ACM Transactions on Knowledge Discovery from Data (TKDD)
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
IEEE Transactions on Signal Processing
Competitive prediction under additive noise
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Training parsers by inverse reinforcement learning
Machine Learning
Coding on countably infinite alphabets
IEEE Transactions on Information Theory
Online learning in Markov decision processes with arbitrarily changing rewards and transitions
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Regret Minimization and Job Scheduling
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Sequential probability assignment via online convex programming using exponential families
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Individual sequence prediction using memory-efficient context trees
IEEE Transactions on Information Theory
Discrete denoising with shifts
IEEE Transactions on Information Theory
Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams
Proceedings of the 2010 conference on Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams
Censored exploration and the dark pool problem
Communications of the ACM
A Plant Location Guide for the Unsure: Approximation Algorithms for Min-Max Location Problems
Mathematics of Operations Research
Learning relevant eye movement feature spaces across users
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Learning Permutations with Exponential Weights
The Journal of Machine Learning Research
Prediction With Expert Advice For The Brier Game
The Journal of Machine Learning Research
On-Line Sequential Bin Packing
The Journal of Machine Learning Research
On Finding Predictors for Arbitrary Families of Processes
The Journal of Machine Learning Research
Aggregation by exponential weighting and sharp oracle inequalities
COLT'07 Proceedings of the 20th annual conference on Learning theory
Suboptimality of penalized empirical risk minimization in classification
COLT'07 Proceedings of the 20th annual conference on Learning theory
Regret to the best vs. regret to the average
COLT'07 Proceedings of the 20th annual conference on Learning theory
Strategies for prediction under imperfect monitoring
COLT'07 Proceedings of the 20th annual conference on Learning theory
On-line estimation with the multivariate Gaussian distribution
COLT'07 Proceedings of the 20th annual conference on Learning theory
Generalised entropy and asymptotic complexities of languages
COLT'07 Proceedings of the 20th annual conference on Learning theory
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
Multitask learning with expert advice
COLT'07 Proceedings of the 20th annual conference on Learning theory
Online learning with prior knowledge
COLT'07 Proceedings of the 20th annual conference on Learning theory
Reinforcement learning-based load shared sequential routing
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
Monitoring algorithms for negative feedback systems
Proceedings of the 19th international conference on World wide web
REGAL: a regularization based algorithm for reinforcement learning in weakly communicating MDPs
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Censored exploration and the Dark Pool Problem
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Characterizing predictable classes of processes
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Supermartingales in prediction with expert advice
Theoretical Computer Science
Window-games between TCP flows
Theoretical Computer Science
Prediction with expert evaluators' advice
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
The follow perturbed leader algorithm protected from unbounded one-step losses
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Calibration and internal no-regret with random signals
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Learning volatility of discrete time series using prediction with expert advice
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
Inference from aging information
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
Quantization and clustering with Bregman divergences
Journal of Multivariate Analysis
A hybrid controller based on the egocentric perceptual principle
Robotics and Autonomous Systems
Game theory for cognitive radio networks: An overview
Computer Networks: The International Journal of Computer and Telecommunications Networking
From optimization to regret minimization and back again
SysML'08 Proceedings of the Third conference on Tackling computer systems problems with machine learning techniques
λ-Perceptron: An adaptive classifier for data streams
Pattern Recognition
Confidence in structured-prediction using confidence-weighted models
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Computer Networks: The International Journal of Computer and Telecommunications Networking
Towards the randomized k-server conjecture: a primal-dual approach
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Sharp dichotomies for regret minimization in metric spaces
SODA '10 Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete Algorithms
Online algorithms for the newsvendor problem with and without censored demands
FAW'10 Proceedings of the 4th international conference on Frontiers in algorithmics
Online learning in adversarial Lipschitz environments
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Reducing reinforcement learning to KWIK online regression
Annals of Mathematics and Artificial Intelligence
A minimum relative entropy principle for learning and acting
Journal of Artificial Intelligence Research
A lower bound for learning distributions generated by probabilistic automata
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Toward a classification of finite partial-monitoring games
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Prediction with expert advice under discounted loss
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
A regularization approach to metrical task systems
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Online multiple kernel learning: algorithms and mistake bounds
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
A Geometric Proof of Calibration
Mathematics of Operations Research
No regret learning in oligopolies: cournot vs. bertrand
SAGT'10 Proceedings of the Third international conference on Algorithmic game theory
Classifier evaluation and attribute selection against active adversaries
Data Mining and Knowledge Discovery
Coalition formation and price of anarchy in cournot oligopolies
WINE'10 Proceedings of the 6th international conference on Internet and network economics
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
The Journal of Machine Learning Research
Regret Bounds and Minimax Policies under Partial Monitoring
The Journal of Machine Learning Research
Linear Algorithms for Online Multitask Classification
The Journal of Machine Learning Research
Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm
The Journal of Machine Learning Research
Journal of Computational Neuroscience
On the Minimax Complexity of Pricing in a Changing Environment
Operations Research
On-line learning: where are we so far?
Ubiquitous knowledge discovery
A prescriptive approach for playing games
ACM SIGecom Exchanges
On-line learning: where are we so far?
Ubiquitous knowledge discovery
An optimization-based framework for automated market-making
Proceedings of the 12th ACM conference on Electronic commerce
Classifier evasion: models and open problems
PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning
Multiple tree for partially observable Monte-Carlo tree search
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
Multiagent learning in large anonymous games
Journal of Artificial Intelligence Research
Learning to trade off between exploration and exploitation in multiclass bandit prediction
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Meta optimization and its application to portfolio selection
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Better Algorithms for Benign Bandits
The Journal of Machine Learning Research
Double Updating Online Learning
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Internal Regret with Partial Monitoring: Calibration-Based Optimal Algorithms
The Journal of Machine Learning Research
On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem
The Journal of Machine Learning Research
A robust ranking methodology based on diverse calibration of AdaBoost
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
ShareBoost: boosting for multi-view learning with performance guarantees
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
On universal algorithms for adaptive forecasting
Problems of Information Transmission
Proceedings of the 4th ACM workshop on Security and artificial intelligence
Understanding the risk factors of learning in adversarial environments
Proceedings of the 4th ACM workshop on Security and artificial intelligence
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
Competing against the best nearest neighbor filter in regression
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
On upper-confidence bound policies for switching bandit problems
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Regret minimization algorithms for pricing lookback options
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Making online decisions with bounded memory
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Pricing exotic derivatives using regret minimization
SAGT'11 Proceedings of the 4th international conference on Algorithmic game theory
Efficient Learning with Partially Observed Attributes
The Journal of Machine Learning Research
Dynamic channel, rate selection and scheduling for white spaces
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
Leading strategies in competitive on-line prediction
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Hannan consistency in on-line learning in case of unbounded losses under partial monitoring
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Asymptotic learnability of reinforcement problems with arbitrary dependence
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Learning hurdles for sleeping experts
Proceedings of the 3rd Innovations in Theoretical Computer Science Conference
Online learning with variable stage duration
COLT'06 Proceedings of the 19th annual conference on Learning Theory
The shortest path problem under partial monitoring
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Logarithmic regret algorithms for online convex optimization
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Online learning with constraints
COLT'06 Proceedings of the 19th annual conference on Learning Theory
On minmax theorems for multiplayer games
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Near-optimal no-regret algorithms for zero-sum games
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Improved second-order bounds for prediction with expert advice
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Minimum delay load-balancing via nonparametric regression and no-regret algorithms
Computer Networks: The International Journal of Computer and Telecommunications Networking
An online framework for learning novel concepts over multiple cues
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part I
Online Learning and Online Convex Optimization
Foundations and Trends® in Machine Learning
Optimal distributed online prediction using mini-batches
The Journal of Machine Learning Research
Online linear optimization over permutations
ISAAC'11 Proceedings of the 22nd international conference on Algorithms and Computation
Online optimization for the smart (micro) grid
Proceedings of the 3rd International Conference on Future Energy Systems: Where Energy, Computing and Communication Meet
Minimax option pricing meets black-scholes in the limit
STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of computing
Dynamic pricing with limited supply
Proceedings of the 13th ACM Conference on Electronic Commerce
Journal of Computer and System Sciences
Sparse regression learning by aggregation and Langevin Monte-Carlo
Journal of Computer and System Sciences
Learning with stochastic inputs and adversarial outputs
Journal of Computer and System Sciences
Weak aggregating algorithm for the distribution-free perishable inventory problem
Operations Research Letters
Ants easily solve stochastic shortest path problems
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Quantitative Analysis of Systems Using Game-Theoretic Learning
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on CAPA'09, Special Section on WHS'09, and Special Section VCPSS' 09
Action Time Sharing Policies for Ergodic Control of Markov Chains
SIAM Journal on Control and Optimization
Mixability is bayes risk curvature relative to log loss
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
Optimistic Bayesian sampling in contextual-bandit problems
The Journal of Machine Learning Research
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Learning performance of prediction markets with Kelly bettors
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Online feature selection for mining big data
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Relational networks of conditional preferences
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Training dependency parser using light feedback
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Sponsored search auctions: an overview of research with emphasis on game theoretic aspects
Electronic Commerce Research
Learning from mistakes: towards a correctable learning algorithm
Proceedings of the 21st ACM international conference on Information and knowledge management
New analysis and algorithm for learning with drifting distributions
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Weighted last-step min-max algorithm with improved sub-logarithmic regret
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Lower bounds on individual sequence regret
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
A closer look at adaptive regret
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Predictive complexity and generalized entropy rate of stationary ergodic processes
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Robust optimization in the presence of uncertainty
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Online Multiple Kernel Classification
Machine Learning
Blind Network Revenue Management
Operations Research
Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection
ACM Transactions on Knowledge Discovery from Data (TKDD)
Learning probabilistic automata: A study in state distinguishability
Theoretical Computer Science
Toward a classification of finite partial-monitoring games
Theoretical Computer Science
An identity for kernel ridge regression
Theoretical Computer Science
Blind Network Revenue Management
Operations Research
Lagrangian Relaxation for Large-Scale Multi-agent Planning
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Accelerating population-based search heuristics by adaptive resource allocation
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Dynamic Pay-Per-Action Mechanisms and Applications to Online Advertising
Operations Research
Efficient Market Making via Convex Optimization, and a Connection to Online Learning
ACM Transactions on Economics and Computation - Special Issue on Algorithmic Game Theory
Selective sampling on graphs for classification
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
A unified search federation system based on online user feedback
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
Online multimodal deep similarity learning with application to image retrieval
Proceedings of the 21st ACM international conference on Multimedia
Lower bounds and selectivity of weak-consistent policies in stochastic multi-armed bandit problem
The Journal of Machine Learning Research
Ranked bandits in metric spaces: learning diverse rankings over large document collections
The Journal of Machine Learning Research
Sparsity regret bounds for individual sequences in online linear regression
The Journal of Machine Learning Research
Trading regret for efficiency: online convex optimization with long term constraints
The Journal of Machine Learning Research
Selective sampling and active learning from single and multiple teachers
The Journal of Machine Learning Research
Online submodular minimization
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Consistency of Vanishingly Smooth Fictitious Play
Mathematics of Operations Research
Online portfolio selection: A survey
ACM Computing Surveys (CSUR)
A survey on concept drift adaptation
ACM Computing Surveys (CSUR)
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
An active learning approach to home heating in the smart grid
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
ASC: automatically scalable computation
Proceedings of the 19th international conference on Architectural support for programming languages and operating systems
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
Adaptive and optimal online linear regression on ℓ1-balls
Theoretical Computer Science
Active tracking and pursuit under different levels of occlusion: a two-layer approach
Machine Vision and Applications
Mining movie archives for song sequences
Multimedia Tools and Applications
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