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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
Detection of Signal in the Spiked Rectangular Models
ICML 2021
Asymptotics of Ridge Regression in Convolutional Models
ICML 2021
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method
ICML 2021
Robust Inference for High-Dimensional Linear Models via Residual Randomization
ICML 2021
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold
ICML 2021
PAPRIKA: Private Online False Discovery Rate Control
ICML 2021
A Central Limit Theorem for Differentially Private Query Answering
NIPS 2021
Diffusion Source Identification on Networks with Statistical Confidence
ICML 2021
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
ICML 2021
Evaluation of Unsupervised Automatic Readability Assessors Using Rank Correlations
EMNLP 2021
Newton Method over Networks is Fast up to the Statistical Precision
ICML 2021
Consistent regression when oblivious outliers overwhelm
ICML 2021
Expected Validation Performance and Estimation of a Random Variable’s Maximum
EMNLP 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
Measuring Biases of Word Embeddings: What Similarity Measures and Descriptive Statistics to Use?
NAACL 2021
Flamingos and Hedgehogs in the Croquet-Ground: Teaching Evaluation of NLP Systems for Undergraduate Students
NAACL 2021
On the Stability of System Rankings at WMT
EMNLP 2021
Statistically Significant Detection of Semantic Shifts using Contextual Word Embeddings
EMNLP 2021
An Online Sequential Test for Qualitative Treatment Effects
JMLR 2021
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results
ACL 2020
Randomized tests for high-dimensional regression: A more efficient and powerful solution
NIPS 2020
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions
NIPS 2020
Estimating weighted areas under the ROC curve
NIPS 2020
Optimal Prediction of the Number of Unseen Species with Multiplicity
NIPS 2020
Approximate Cross-Validation for Structured Models
NIPS 2020
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