Discussions

All discussions on this site are listed below. Those most recently updated are first.

Page	Date	Discussion
A Least Squares Formulation for Canonical Correlation Analysis (2008)	2010/03/06 20:15	2 Comments
Expectation-Maximization for Sparse and Non-Negative PCA (2008)	2010/02/16 10:24	1 Comment
Learning Nonlinear Dynamic Models (2009)	2010/02/07 16:49	10 Comments
A Bayesian Approach to Protein Model Quality Assessment (2009)	2010/01/27 14:16	1 Comment
Semi-Supervised Learning Using Label Mean (2009)	2010/01/08 22:40	1 Comment
Skill Acquisition in Continuous Reinforcement Learning Domains (2009)	2009/10/23 08:08	2 Comments
Binary Action Search for Learning Continuous-Action Control Policies (2009)	2009/10/15 04:48	1 Comment
Multi-Assignment Clustering for Boolean Data (2009)	2009/10/08 05:55	1 Comment
Deep Learning from Temporal Coherence in Video (2009)	2009/09/20 09:30	1 Comment
Boosting products of base classifiers (2009)	2009/08/23 08:54	3 Comments
Stochastic Methods for L1 Regularized Loss Minimization (2009)	2009/08/04 16:12	1 Comment
Discriminative $k$ metrics (2009)	2009/08/02 03:39	1 Comment
Online Dictionary Learning for Sparse Coding (2009)	2009/07/09 12:02	2 Comments
Supervised Learning from Multiple Experts: Whom to trust when everyone lies a bit (2009)	2009/07/07 19:08	5 Comments
A majorization-minimization algorithm for (multiple) hyperparameter learning (2009)	2009/07/06 06:26	2 Comments
Near-Bayesian Exploration in Polynomial Time (2009)	2009/06/30 00:52	7 Comments
Function factorization using warped Gaussian processes (2009)	2009/06/24 17:50	1 Comment
Hierarchical sampling for active learning (2008)	2009/06/17 18:49	3 Comments
Regularization and Feature Selection in Least-Squares Temporal Difference Learning (2009)	2009/06/08 14:57	3 Comments
Information Theoretic Measures for Clusterings Comparison: Is a Correction for Chance Necessary? (2009)	2009/06/01 16:01	2 Comments
Surrogate Regret Bounds for Proper Losses (2009)	2009/05/25 00:14	1 Comment
Modeling Interleaved Hidden Processes (2008)	2009/02/18 11:03	4 Comments
Prediction with expert advice for the Brier game (2008)	2008/10/28 13:59	1 Comment
Efficient Bandit Algorithms for Online Multiclass Prediction (2008)	2008/07/26 12:45	1 Comment
On the Quantitative Analysis of Deep Belief Networks (2008)	2008/07/25 14:40	3 Comments
Knows What It Knows: A Framework For Self-Aware Learning (2008)	2008/07/12 02:50	7 Comments
Estimating Labels from Label Proportions (2008)	2008/07/09 00:15	1 Comment
Learning Diverse Rankings with Multi-Armed Bandits (2008)	2008/07/09 00:07	1 Comment
Self-taught Clustering (2008)	2008/07/08 03:24	2 Comments
SVM Optimization: Inverse Dependence on Training Set Size (2008)	2008/07/07 17:10	3 Comments
Deep Learning via Semi-Supervised Embedding (2008)	2008/07/06 08:56	1 Comment
An HDP-HMM for Systems with State Persistence (2008)	2008/07/06 08:43	3 Comments
Efficient Projections onto the L1-Ball for Learning in High Dimensions (2008)	2008/07/02 19:58	1 Comment