conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Information Theory

318 papers

Papers per year

7
1
27
28
'10
'15
'20
'25

Papers

Information Complexity in Bandit Subset Selection COLT 2013
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013
The Perturbed Variation NIPS 2012
Meta-Gaussian Information Bottleneck NIPS 2012
Tight Bounds on Profile Redundancy and Distinguishability NIPS 2012
Exponential Concentration for Mutual Information Estimation with Application to Forests NIPS 2012
Affine Independent Variational Inference NIPS 2012
Optimal kernel choice for large-scale two-sample tests NIPS 2012
AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012
Information Theoretic Model Validation for Spectral Clustering AISTATS 2012
Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012
A Characterization of Scoring Rules for Linear Properties COLT 2012
Lower Bounds for Passive and Active Learning NIPS 2011
Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NIPS 2011
Relative Density-Ratio Estimation for Robust Distribution Comparison NIPS 2011
How biased are maximum entropy models? NIPS 2011
On the Estimation of $\alpha$-Divergences AISTATS 2011
Bounds on Individual Risk for Log-loss Predictors COLT 2011
Evaluating neuronal codes for inference using Fisher information NIPS 2010
Why are some word orders more common than others? A uniform information density account NIPS 2010
Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NIPS 2010
Extensions of Generalized Binary Search to Group Identification and Exponential Costs NIPS 2010
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NIPS 2010
Implicit encoding of prior probabilities in optimal neural populations NIPS 2010
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization AISTATS 2010