Papers
Effects of Stress and Genotype on Meta-parameter Dynamics in Reinforcement Learning
Gediminas Lukšys, Jérémie Knüsel, Denis Sheynikhovich et al.
AdaBoost is Consistent
Peter L. Bartlett, Mikhail Traskin
A Complexity-Distortion Approach to Joint Pattern Alignment
Andrea Vedaldi, Stefano Soatto
Gaussian and Wishart Hyperkernels
Risi Kondor, Tony Jebara
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
Gavin C. Cawley, Nicola L. Talbot, Mark Girolami
Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation
Jason M. Samonds, Brian R. Potetz, Tai S. Lee
Analysis of Representations for Domain Adaptation
Shai Ben-David, John Blitzer, Koby Crammer et al.
Learning to Rank with Nonsmooth Cost Functions
Christopher J. Burges, Robert Ragno, Quoc V. Le
Optimal Single-Class Classification Strategies
Ran El-Yaniv, Mordechai Nisenson
Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games
Chris Murray, Geoffrey J. Gordon
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data
Ping Li, Kenneth W. Church, Trevor J. Hastie
PG-means: learning the number of clusters in data
Yu Feng, Greg Hamerly
implicit Online Learning with Kernels
Li Cheng, Dale Schuurmans, Shaojun Wang et al.
Mixture Regression for Covariate Shift
Masashi Sugiyama, Amos J. Storkey
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions
Philip M. Long, Rocco Servedio
Efficient Structure Learning of Markov Networks using L_1-Regularization
Su-in Lee, Varun Ganapathi, Daphne Koller
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Manfred K. Warmuth, Dima Kuzmin
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
Konrad Rieck, Pavel Laskov, Sören Sonnenburg
A Nonparametric Approach to Bottom-Up Visual Saliency
Wolf Kienzle, Felix A. Wichmann, Matthias O. Franz et al.
Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang, Arthur Gretton, Karsten Borgwardt et al.
Learning to parse images of articulated bodies
Deva Ramanan
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds
Benjamin I. Rubinstein, Peter L. Bartlett, J. H. Rubinstein
Learning to Model Spatial Dependency: Semi-Supervised Discriminative Random Fields
Chi-hoon Lee, Shaojun Wang, Feng Jiao et al.
Manifold Denoising
Matthias Hein, Markus Maier