conftrace
_
Papers
Trends
Conferences
Explore
Authors
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Statistical Learning
4,076 papers
Papers per year
2001: 2
2002: 8
2003: 9
2004: 7
2005: 9
2006: 34
2007: 37
2008: 34
2009: 41
2010: 62
2011: 68
2012: 81
2013: 109
2014: 120
2015: 99
2016: 149
2017: 160
2018: 205
2019: 285
2020: 376
2021: 433
2022: 447
2023: 577
2024: 488
2025: 192
2026: 44
Papers
Rate-Regularization and Generalization in Variational Autoencoders
AISTATS 2021
Incorporating tone in the calculation of phonotactic probability
ACL 2021
Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach
JMLR 2021
Goodness-of-Fit Test for Mismatched Self-Exciting Processes
AISTATS 2021
Grounding Representation Similarity Through Statistical Testing
NIPS 2021
Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning
CORL 2021
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification
AISTATS 2021
Robust hypothesis testing and distribution estimation in Hellinger distance
AISTATS 2021
Revenue maximization via machine learning with noisy data
NIPS 2021
Causal Effect Inference for Structured Treatments
NIPS 2021
Information-theoretic generalization bounds for black-box learning algorithms
NIPS 2021
Rich Prosody Diversity Modelling with Phone-Level Mixture Density Network
INTERSPEECH 2021
PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes
COLT 2021
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
JMLR 2021
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling
AISTATS 2021
Gaussian Approximation for Bias Reduction in Q-Learning
JMLR 2021
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization
NIPS 2021
Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain
EMNLP 2021
Active Slices for Sliced Stein Discrepancy
ICML 2021
Tighter Risk Certificates for Neural Networks
JMLR 2021
Minimax Estimation of Laplacian Constrained Precision Matrices
AISTATS 2021
Statistical guarantees for generative models without domination
ALT 2021
Testing Product Distributions: A Closer Look
ALT 2021
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)
JMLR 2021
Application of kernel hypothesis testing on set-valued data
UAI 2021
<
1
…
74
75
76
…
164
>