Statistics
822 papers
Papers per year
1
1
4
11
7
15
12
18
34
35
24
17
23
29
39
30
54
68
93
90
122
65
30
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Papers
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning
ICML 2021
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
ICML 2021
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
NeurIPS 2021
Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance
ACL 2021
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free
ICML 2021
Robust Inference for High-Dimensional Linear Models via Residual Randomization
ICML 2021
Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions
JMLR 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
ICML 2021
Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings
EMNLP 2021
TenIPS: Inverse Propensity Sampling for Tensor Completion
AISTATS 2021
Testing Conditional Independence via Quantile Regression Based Partial Copulas
JMLR 2021
The Energy and Carbon Footprint of Training End-to-End Speech Recognizers
Interspeech 2021
The Sample Complexity of Robust Covariance Testing
COLT 2021
Understanding the Under-Coverage Bias in Uncertainty Estimation
NeurIPS 2021
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
NeurIPS 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
JMLR 2021
V-statistics and Variance Estimation
JMLR 2021
What happens if you treat ordinal ratings as interval data? Human evaluations in NLP are even more under-powered than you think
EMNLP 2021
Adaptive Estimator Selection for Off-Policy Evaluation
ICML 2020
A Finite-Sample Deviation Bound for Stable Autoregressive Processes
L4DC 2020
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results
ACL 2020
Approximate Cross-Validation for Structured Models
NeurIPS 2020
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model
NeurIPS 2020
Computing Valid P-Values for Image Segmentation by Selective Inference
CVPR 2020
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations
NeurIPS 2020