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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Statistical Learning
4076 directly classified 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
A Contrastive Approach to Online Change Point Detection
AISTATS 2023
Minimax Nonparametric Two-Sample Test under Adversarial Losses
AISTATS 2023
Invariant Representations with Stochastically Quantized Neural Networks
AAAI 2023
Approximating Full Conformal Prediction at Scale via Influence Functions
AAAI 2023
Robust Causal Graph Representation Learning against Confounding Effects
AAAI 2023
How to Estimate Model Transferability of Pre-Trained Speech Models?
INTERSPEECH 2023
An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech
INTERSPEECH 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes
ICML 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
ICML 2023
PAC-Bayesian Offline Contextual Bandits With Guarantees
ICML 2023
Fundamental Tradeoffs in Learning with Prior Information
ICML 2023
Variance Control for Distributional Reinforcement Learning
ICML 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments
ICML 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
ICML 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis
ICML 2023
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death
ICML 2023
On the Statistical Benefits of Temporal Difference Learning
ICML 2023
Model-agnostic Measure of Generalization Difficulty
ICML 2023
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction
AAAI 2023
Group SLOPE Penalized Low-Rank Tensor Regression
JMLR 2023
Semantic Similarity Covariance Matrix Shrinkage
EMNLP 2023
NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark
EMNLP 2023
Re-Examining Summarization Evaluation across Multiple Quality Criteria
EMNLP 2023
FFAEval: Evaluating Dialogue System via Free-For-All Ranking
EMNLP 2023
The Linearity of the Effect of Surprisal on Reading Times across Languages
EMNLP 2023
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