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

Statistical Learning

4,117 papers

Papers per year

9
62
100
382
192
'05
'10
'15
'20
'25

Papers

Best Arm Identification for Contaminated Bandits JMLR 2019
Regularization via Mass Transportation JMLR 2019
Learning Unfaithful $K$-separable Gaussian Graphical Models JMLR 2019
An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search JMLR 2019
Distributed Inference for Linear Support Vector Machine JMLR 2019
Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models JMLR 2019
Binarsity: a penalization for one-hot encoded features in linear supervised learning JMLR 2019
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models JMLR 2019
Approximate Profile Maximum Likelihood JMLR 2019
Characterizing the Sample Complexity of Pure Private Learners JMLR 2019
On Asymptotic and Finite-Time Optimality of Bayesian Predictors JMLR 2019
High-dimensional Varying Index Coefficient Models via Stein's Identity JMLR 2019
DBSCAN: Optimal Rates For Density-Based Cluster Estimation JMLR 2019
Shared Subspace Models for Multi-Group Covariance Estimation JMLR 2019
A Calibration Metric for Risk Scores with Survival Data MLHC 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records MLHC 2019
A large-scale study of the effects of word frequency and predictability in naturalistic reading NAACL 2019
Show Some Love to Your n-grams: A Bit of Progress and Stronger n-gram Language Modeling Baselines NAACL 2019
Expectation and Locality Effects in the Prediction of Disfluent Fillers and Repairs in English Speech NAACL 2019
Measuring and Modeling Language Change NAACL 2019
Modeling Word Emotion in Historical Language: Quantity Beats Supposed Stability in Seed Word Selection NAACL 2019
Joint Nonparametric Precision Matrix Estimation with Confounding UAI 2019
Active Multi-Information Source Bayesian Quadrature UAI 2019
Markov Logic Networks for Knowledge Base Completion: A Theoretical Analysis Under the MCAR Assumption UAI 2019
How Many Samples are Needed to Estimate a Convolutional Neural Network? NIPS 2018