Statistical Learning
4,564 papers
Papers per year
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70
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113
128
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Papers
Understanding the Effect of Voice Quality and Accent on Talker Similarity
Interspeech 2020
Understanding the Limitations of Variational Mutual Information Estimators
ICLR 2020
Uniform Convergence of Rank-weighted Learning
ICML 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
ICML 2020
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
AISTATS 2020
Variation in Spectral Slope and Interharmonic Noise in Cantonese Tones
Interspeech 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
NeurIPS 2020
When Do Neural Networks Outperform Kernel Methods?
NeurIPS 2020
With Little Power Comes Great Responsibility
EMNLP 2020
Worst-Case Analysis for Randomly Collected Data
NeurIPS 2020
A Calibration Metric for Risk Scores with Survival Data
MLHC 2019
Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly
COLT 2019
A comparison of statistical association measures for identifying dependency-based collocations in various languages.
ACL 2019
Active Multi-Information Source Bayesian Quadrature
UAI 2019
Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits
ICML 2019
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
NeurIPS 2019
A Debiased MDI Feature Importance Measure for Random Forests
NeurIPS 2019
A Family of Exact Goodness-of-Fit Tests for High-Dimensional Discrete Distributions
AISTATS 2019
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions
COLT 2019
A General Framework for Symmetric Property Estimation
NeurIPS 2019
A Higher-Order Kolmogorov-Smirnov Test
AISTATS 2019
A large-scale study of the effects of word frequency and predictability in naturalistic reading
NAACL 2019
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
NeurIPS 2019
A maximum-mean-discrepancy goodness-of-fit test for censored data
AISTATS 2019
A Meta-Analysis of Overfitting in Machine Learning
NeurIPS 2019