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1219 directly classified papers

Papers per year

Papers

Theoretical guarantees for EM under misspecified Gaussian mixture models NIPS 2018
Algebraic tests of general Gaussian latent tree models NIPS 2018
Derivative Estimation in Random Design NIPS 2018
The DFS Fused Lasso: Linear-Time Denoising over General Graphs JMLR 2018
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models JMLR 2018
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models JMLR 2018
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs JMLR 2018
Statistical Inference on Random Dot Product Graphs: a Survey JMLR 2018
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy ICML 2018
Characteristic and Universal Tensor Product Kernels JMLR 2018
Approximate Submodularity and its Applications: Subset Selection, Sparse Approximation and Dictionary Selection JMLR 2018
Probability–Revealing Samples AISTATS 2018
Statistically Efficient Estimation for Non-Smooth Probability Densities AISTATS 2018
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information AISTATS 2018
Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods AISTATS 2018
Graphical Models for Non-Negative Data Using Generalized Score Matching AISTATS 2018
Kernel Conditional Exponential Family AISTATS 2018
Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models JMLR 2018
Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points JMLR 2018
Statistical Analysis and Parameter Selection for Mapper JMLR 2018
Learning from Comparisons and Choices JMLR 2018
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions JMLR 2018
Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data COLT 2018
On Semiparametric Exponential Family Graphical Models JMLR 2018
A New and Flexible Approach to the Analysis of Paired Comparison Data JMLR 2018