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Statistical Learning

4,117 papers

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Papers

Learning Entangled Single-Sample Distributions via Iterative Trimming AISTATS 2020
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis AISTATS 2020
Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference AISTATS 2020
Linear predictor on linearly-generated data with missing values: non consistency and solutions AISTATS 2020
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation AISTATS 2020
An approximate KLD based experimental design for models with intractable likelihoods AISTATS 2020
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations AISTATS 2020
A Three Sample Hypothesis Test for Evaluating Generative Models AISTATS 2020
Logistic regression with peer-group effects via inference in higher-order Ising models AISTATS 2020
An Asymptotic Rate for the LASSO Loss AISTATS 2020
Sharp Asymptotics and Optimal Performance for Inference in Binary Models AISTATS 2020
The Power of Batching in Multiple Hypothesis Testing AISTATS 2020
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions AISTATS 2020
Towards Competitive N-gram Smoothing AISTATS 2020
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components AISTATS 2020
Best-item Learning in Random Utility Models with Subset Choices AISTATS 2020
Adaptive, Distribution-Free Prediction Intervals for Deep Networks AISTATS 2020
A Theoretical and Practical Framework for Regression and Classification from Truncated Samples AISTATS 2020
On the Sample Complexity of Learning Sum-Product Networks AISTATS 2020
On Minimax Optimality of GANs for Robust Mean Estimation AISTATS 2020
A Framework for Sample Efficient Interval Estimation with Control Variates AISTATS 2020
Sampling Without Compromising Accuracy in Adaptive Data Analysis ALT 2020
Toward universal testing of dynamic network models ALT 2020
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods COLING 2020
Statistical Parsing of Tree Wrapping Grammars COLING 2020