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Statistical Learning

4,117 papers

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Papers

Error bounds for sparse classifiers in high-dimensions AISTATS 2019
A Stein–Papangelou Goodness-of-Fit Test for Point Processes AISTATS 2019
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain AISTATS 2019
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm AISTATS 2019
Robust Matrix Completion from Quantized Observations AISTATS 2019
Optimal Testing in the Experiment-rich Regime AISTATS 2019
Linear Queries Estimation with Local Differential Privacy AISTATS 2019
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees AISTATS 2019
On Kernel Derivative Approximation with Random Fourier Features AISTATS 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019
Deep Neural Networks Learn Non-Smooth Functions Effectively AISTATS 2019
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication AISTATS 2019
A Swiss Army Infinitesimal Jackknife AISTATS 2019
Subsampled Renyi Differential Privacy and Analytical Moments Accountant AISTATS 2019
Model Consistency for Learning with Mirror-Stratifiable Regularizers AISTATS 2019
Detection of Planted Solutions for Flat Satisfiability Problems AISTATS 2019
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time AISTATS 2019
Black Box Quantiles for Kernel Learning AISTATS 2019
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit AISTATS 2019
Sample Complexity of Sinkhorn Divergences AISTATS 2019
Does data interpolation contradict statistical optimality? AISTATS 2019
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions AISTATS 2019
Statistical Learning under Nonstationary Mixing Processes AISTATS 2019
Lifted Weight Learning of Markov Logic Networks Revisited AISTATS 2019
Causal Discovery in the Presence of Missing Data AISTATS 2019