Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Theory
4950 directly classified papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
NIPS 2009
Robust Nonparametric Regression with Metric-Space Valued Output
NIPS 2009
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
NIPS 2009
Fast, smooth and adaptive regression in metric spaces
NIPS 2009
Monte Carlo Sampling for Regret Minimization in Extensive Games
NIPS 2009
Information-theoretic lower bounds on the oracle complexity of convex optimization
NIPS 2009
Which graphical models are difficult to learn?
NIPS 2009
On the Convergence of the Concave-Convex Procedure
NIPS 2009
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
NIPS 2009
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
NIPS 2009
Nash Equilibria of Static Prediction Games
NIPS 2009
Adaptive False Discovery Rate Control under Independence and Dependence
JMLR 2009
Discrete MDL Predicts in Total Variation
NIPS 2009
Complexity of Decentralized Control: Special Cases
NIPS 2009
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost
JMLR 2009
A Bahadur Representation of the Linear Support Vector Machine
JMLR 2008
On Relevant Dimensions in Kernel Feature Spaces
JMLR 2008
Learning with Consistency between Inductive Functions and Kernels
NIPS 2008
A general framework for investigating how far the decoding process in the brain can be simplified
NIPS 2008
Consistency of Trace Norm Minimization
JMLR 2008
Complete Identification Methods for the Causal Hierarchy
JMLR 2008
Rademacher Complexity Bounds for Non-I.I.D. Processes
NIPS 2008
Value Function Based Reinforcement Learning in Changing Markovian Environments
JMLR 2008
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
NIPS 2008
Resolution Limits of Sparse Coding in High Dimensions
NIPS 2008
<
1
…
193
194
195
…
198
>