Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
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
Composite Goodness-of-fit Tests with Kernels
JMLR 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
JMLR 2025
Selective Inference with Distributed Data
JMLR 2025
From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective
JMLR 2025
Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters
JMLR 2025
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
JMLR 2025
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations
CVPR 2025
An Axiomatic Definition of Hierarchical Clustering
JMLR 2025
RankedCOMET: Elevating a 2022 Baseline to a Top-5 Finish in the WMT 2025 QE Task
EMNLP 2025
Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation
EMNLP 2025
Variance-Aware Estimation of Kernel Mean Embedding
JMLR 2025
Investigating Subjective Factors of Argument Strength: Storytelling, Emotions, and Hedging
ACL 2025
Advocating Character Error Rate for Multilingual ASR Evaluation
NAACL 2025
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors
JMLR 2025
Robust Bias Detection in MLMs and its Application to Human Trait Ratings
NAACL 2025
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes
ACL 2025
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy
NAACL 2025
Contrastive Functional Principal Component Analysis
AAAI 2025
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
ACL 2025
Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation
IJCNLP 2025
Mitigating Label Length Bias in Large Language Models
IJCNLP 2025
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
NAACL 2025
Keep Guessing? When Considering Inference Scaling, Mind the Baselines
NAACL 2025
Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection
ACL 2025
Statistical Inference of Random Graphs With a Surrogate Likelihood Function
JMLR 2025
<
1
2
3
4
5
…
28
>