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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
Evaluating Research Novelty Detection: Counterfactual Approaches
EMNLP 2019
Automatic identification of writers’ intentions: Comparing different methods for predicting relationship goals in online dating profile texts
EMNLP 2019
Transferability and Hardness of Supervised Classification Tasks
ICCV 2019
Moment Matching for Multi-Source Domain Adaptation
ICCV 2019
Human Uncertainty Makes Classification More Robust
ICCV 2019
Communication-Constrained Inference and the Role of Shared Randomness
ICML 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters
ICML 2019
Bounding User Contributions: A Bias-Variance Trade-off in Differential Privacy
ICML 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
ICML 2019
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
ICML 2019
What is the Effect of Importance Weighting in Deep Learning?
ICML 2019
Weak Detection of Signal in the Spiked Wigner Model
ICML 2019
On Medians of (Randomized) Pairwise Means
ICML 2019
Minimal Achievable Sufficient Statistic Learning
ICML 2019
Discovering Conditionally Salient Features with Statistical Guarantees
ICML 2019
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
ICML 2019
Doubly-Competitive Distribution Estimation
ICML 2019
Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!
ICML 2019
Statistical Foundations of Virtual Democracy
ICML 2019
Robust Estimation of Tree Structured Gaussian Graphical Models
ICML 2019
Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
ICML 2019
Robust Learning from Untrusted Sources
ICML 2019
Sparse Extreme Multi-label Learning with Oracle Property
ICML 2019
Bayesian Counterfactual Risk Minimization
ICML 2019
Generalized Approximate Survey Propagation for High-Dimensional Estimation
ICML 2019
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