Cs-Lg
Generating a Diverse Set of High-Quality Clusterings
Abstraction Super-structuring Normal Forms: Towards a Theory of Structural Induction
The Divergence of Reinforcement Learning Algorithms with Value-Iteration and Function Approximation
On the Computational Complexity of Stochastic Controller Optimization in POMDPs
Axioms for Rational Reinforcement Learning
Learning Poisson Binomial Distributions
Discovering Knowledge using a Constraint-based Language
Unsupervised K-Nearest Neighbor Regression
GraphLab: A Distributed Framework for Machine Learning in the Cloud
"Memory foam" approach to unsupervised learning
A Probabilistic Framework for Discriminative Dictionary Learning
The Non-Bayesian Restless Multi-Armed Bandit: A Case of Near-Logarithmic Strict Regret
Online Learning Algorithms for Stochastic Water-Filling
Statistical Topic Models for Multi-Label Document Classification
Structured sparsity through convex optimization
Active Ranking using Pairwise Comparisons
Reconstruction of sequential data with density models
Differentially Private Online Learning
Higher-Order Markov Tag-Topic Models for Tagged Documents and Images
Noise Tolerance under Risk Minimization
Learning Item Trees for Probabilistic Modelling of Implicit Feedback
Exhaustive and Efficient Constraint Propagation: A Semi-Supervised Learning Perspective and Its Applications
