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

Learning Kernels with Random Features NIPS 2016
Exact Recovery of Hard Thresholding Pursuit NIPS 2016
Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized M-Estimation NIPS 2016
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated NIPS 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure NIPS 2016
Learning and Forecasting Opinion Dynamics in Social Networks NIPS 2016
Agnostic Estimation for Misspecified Phase Retrieval Models NIPS 2016
Semiparametric Differential Graph Models NIPS 2016
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers ACML 2016
Learnability of Non-I.I.D. ACML 2016
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator ACML 2016
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models AISTATS 2016
Score Permutation Based Finite Sample Inference for Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) Models AISTATS 2016
Optimal Statistical and Computational Rates for One Bit Matrix Completion AISTATS 2016
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm AISTATS 2016
DUAL-LOCO: Distributing Statistical Estimation Using Random Projections AISTATS 2016
Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects AISTATS 2016
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces AISTATS 2016
Inference for High-dimensional Exponential Family Graphical Models AISTATS 2016
Loss Bounds and Time Complexity for Speed Priors AISTATS 2016
Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments AISTATS 2016
Spectral M-estimation with Applications to Hidden Markov Models AISTATS 2016
Open Problem: Property Elicitation and Elicitation Complexity COLT 2016
Learning and Testing Junta Distributions COLT 2016