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Theory

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Papers

On the Asymptotic Normality of an Estimate of a Regression Functional JMLR 2015
Towards an Axiomatic Approach to Hierarchical Clustering of Measures JMLR 2015
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets JMLR 2015
Existence and Uniqueness of Proper Scoring Rules JMLR 2015
Complexity of Equivalence and Learning for Multiplicity Tree Automata JMLR 2015
When Are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity JMLR 2015
Discrete Reproducing Kernel Hilbert Spaces: Sampling and Distribution of Dirac-masses JMLR 2015
Minimax Analysis of Active Learning JMLR 2015
Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Rewards JMLR 2015
From Stochastic Mixability to Fast Rates NIPS 2014
Sparse PCA via Covariance Thresholding NIPS 2014
SerialRank: Spectral Ranking using Seriation NIPS 2014
Hardness of parameter estimation in graphical models NIPS 2014
On the Statistical Consistency of Plug-in Classifiers for Non-decomposable Performance Measures NIPS 2014
Near-optimal sample compression for nearest neighbors NIPS 2014
Concavity of reweighted Kikuchi approximation NIPS 2014
Incremental Clustering: The Case for Extra Clusters NIPS 2014
How hard is my MDP?" The distribution-norm to the rescue" NIPS 2014
Multivariate f-divergence Estimation With Confidence NIPS 2014
Feedback Detection for Live Predictors NIPS 2014
Sparse Polynomial Learning and Graph Sketching NIPS 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Rounding-based Moves for Metric Labeling NIPS 2014
Sensory Integration and Density Estimation NIPS 2014