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Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
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
Consistent Selection of Tuning Parameters via Variable Selection Stability
JMLR 2013
Principal Component Analysis on non-Gaussian Dependent Data
ICML 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis
NIPS 2013
Estimating the Unseen: Improved Estimators for Entropy and other Properties
NIPS 2013
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
NIPS 2013
More data speeds up training time in learning halfspaces over sparse vectors
NIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors
NIPS 2013
Scoring Workers in Crowdsourcing: How Many Control Questions are Enough?
NIPS 2013
Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition
NIPS 2013
B-test: A Non-parametric, Low Variance Kernel Two-sample Test
NIPS 2013
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition
NIPS 2013
Speeding up Permutation Testing in Neuroimaging
NIPS 2013
Moment-based Uniform Deviation Bounds for $k$-means and Friends
NIPS 2013
Spectral methods for neural characterization using generalized quadratic models
NIPS 2013
PAC-Bayes-Empirical-Bernstein Inequality
NIPS 2013
On the Sample Complexity of Subspace Learning
NIPS 2013
Generalized Method-of-Moments for Rank Aggregation
NIPS 2013
Density estimation from unweighted k-nearest neighbor graphs: a roadmap
NIPS 2013
Probabilistic Principal Geodesic Analysis
NIPS 2013
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
NIPS 2013
Small-Variance Asymptotics for Hidden Markov Models
NIPS 2013
Stochastic blockmodel approximation of a graphon: Theory and consistent estimation
NIPS 2013
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models
NIPS 2013
Consistency versus Realizable H-Consistency for Multiclass Classification
ICML 2013
Collective Stability in Structured Prediction: Generalization from One Example
ICML 2013
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