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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Statistics
684 directly classified papers
Papers per year
2004: 1
2005: 1
2006: 3
2007: 10
2008: 6
2009: 9
2010: 11
2011: 16
2012: 31
2013: 31
2014: 23
2015: 12
2016: 18
2017: 29
2018: 39
2019: 29
2020: 46
2021: 64
2022: 88
2023: 73
2024: 105
2025: 39
Papers
Power Iteration for Tensor PCA
JMLR 2022
Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations
ACL 2022
A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review
JMLR 2022
Intrinsic Dimension Estimation Using Wasserstein Distance
JMLR 2022
Nonparametric Neighborhood Selection in Graphical Models
JMLR 2022
Does the Data Induce Capacity Control in Deep Learning?
ICML 2022
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees
JMLR 2022
Convergence Rates for Gaussian Mixtures of Experts
JMLR 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity
EMNLP 2022
Three rates of convergence or separation via U-statistics in a dependent framework
JMLR 2022
Testing Whether a Learning Procedure is Calibrated
JMLR 2022
Scalable and Efficient Hypothesis Testing with Random Forests
JMLR 2022
Re-Examining System-Level Correlations of Automatic Summarization Evaluation Metrics
NAACL 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
JMLR 2022
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach
JMLR 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
AISTATS 2022
Outcome Assumptions and Duality Theory for Balancing Weights
AISTATS 2022
Conceptualizing Treatment Leakage in Text-based Causal Inference
NAACL 2022
Estimating Density Models with Truncation Boundaries using Score Matching
JMLR 2022
Model-agnostic out-of-distribution detection using combined statistical tests
AISTATS 2022
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
AISTATS 2022
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality
JMLR 2022
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency
AISTATS 2022
Online Control of the False Discovery Rate under "Decision Deadlines"
AISTATS 2022
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance
NAACL 2022
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