Co-occurring keywords · papers mentioning both
Papers
Lower Bounds on Active Learning for Graphical Model Selection
AISTATS 2017
MIPA: Mutual Information Based Paraphrase Acquisition via Bilingual Pivoting
IJCNLP 2017
Nonparanormal Information Estimation
ICML 2017
Quantifying how much sensory information in a neural code is relevant for behavior
NeurIPS 2017
RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh’s-like list
SemEval 2017
The Impact of Random Models on Clustering Similarity
JMLR 2017
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
NeurIPS 2016
Controlling Bias in Adaptive Data Analysis Using Information Theory
AISTATS 2016
Estimating Mutual Information in Under-Reported Variables
PGM 2016
Extremal Mechanisms for Local Differential Privacy
JMLR 2016
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
NeurIPS 2016
Jointly Informative Feature Selection Made Tractable by Gaussian Modeling
JMLR 2016
Measuring Dependence Powerfully and Equitably
JMLR 2016
Mixed vine copulas as joint models of spike counts and local field potentials
NeurIPS 2016
Mutual Information Based Matching for Causal Inference with Observational Data
JMLR 2016
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
NeurIPS 2016
Variational Information Maximization for Feature Selection
NeurIPS 2016
Efficient Estimation of Mutual Information for Strongly Dependent Variables
AISTATS 2015
Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping
RSS 2015
Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations
NeurIPS 2015
On Greedy Maximization of Entropy
ICML 2015
Sequential Information Maximization: When is Greedy Near-optimal?
COLT 2015
Structured Feature Selection
ICCV 2015
Unsupervised Cross-Modal Synthesis of Subject-Specific Scans
ICCV 2015
Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
NeurIPS 2015