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← Optimization & Theory
Machine Learning
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Optimization & Theory
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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
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
AAAI 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks
AAAI 2020
Meta-Learning PAC-Bayes Priors in Model Averaging
AAAI 2020
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold
AAAI 2020
Random Intersection Graphs and Missing Data
AAAI 2020
Sequential Mode Estimation with Oracle Queries
AAAI 2020
Estimating Stochastic Linear Combination of Non-Linear Regressions
AAAI 2020
Less Is Better: Unweighted Data Subsampling via Influence Function
AAAI 2020
Local Regularizer Improves Generalization
AAAI 2020
A New Framework for Online Testing of Heterogeneous Treatment Effect
AAAI 2020
Multi-Hypothesis Machine Translation Evaluation
ACL 2020
Showing Your Work Doesn’t Always Work
ACL 2020
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds
ACL 2020
Examining Citations of Natural Language Processing Literature
ACL 2020
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates
ACL 2020
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses
ACL 2020
Predicting the Growth of Morphological Families from Social and Linguistic Factors
ACL 2020
Temporally-Informed Analysis of Named Entity Recognition
ACL 2020
On Forgetting to Cite Older Papers: An Analysis of the ACL Anthology
ACL 2020
Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset
ACL 2020
Lexicalization of Probabilistic Linear Context-free Rewriting Systems
ACL 2020
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons
AISTATS 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
AISTATS 2020
Learning Fair Representations for Kernel Models
AISTATS 2020
Minimax Testing of Identity to a Reference Ergodic Markov Chain
AISTATS 2020
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