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Statistical Learning

4076 directly classified papers

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Papers

Minimax Estimation of Bandable Precision Matrices NIPS 2017
Estimation of the covariance structure of heavy-tailed distributions NIPS 2017
Expectation Propagation for t-Exponential Family Using q-Algebra NIPS 2017
Recycling Privileged Learning and Distribution Matching for Fairness NIPS 2017
A Sample Complexity Measure with Applications to Learning Optimal Auctions NIPS 2017
On Optimal Generalizability in Parametric Learning NIPS 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network NIPS 2017
Robust Estimation of Neural Signals in Calcium Imaging NIPS 2017
Consistent Robust Regression NIPS 2017
Trimmed Density Ratio Estimation NIPS 2017
Learning Mixture of Gaussians with Streaming Data NIPS 2017
Convergence rates of a partition based Bayesian multivariate density estimation method NIPS 2017
Universal consistency and minimax rates for online Mondrian Forests NIPS 2017
Multi-way Interacting Regression via Factorization Machines NIPS 2017
Whitening-Free Least-Squares Non-Gaussian Component Analysis ACML 2017
Thresholding Bandits with Augmented UCB IJCAI 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible ICML 2017
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis JMLR 2017
A Linear-Time Kernel Goodness-of-Fit Test NIPS 2017
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions ICML 2017
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees ICML 2017
Robust Structured Estimation with Single-Index Models ICML 2017
Comparing Character-level Neural Language Models Using a Lexical Decision Task EACL 2017
Understanding Black-box Predictions via Influence Functions ICML 2017
Thresholding Based Outlier Robust PCA COLT 2017