conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Learning Theory

5,334 papers

Papers per year

17
66
123
466
307
'05
'10
'15
'20
'25

Papers

On Estimation and Selection for Topic Models AISTATS 2012
Learning from Weak Teachers AISTATS 2012
Learning Valuation Functions COLT 2012
Random Design Analysis of Ridge Regression COLT 2012
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012
Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions COLT 2012
Learning Functions of Halfspaces Using Prefix Covers COLT 2012
Computational Bounds on Statistical Query Learning COLT 2012
Learning DNF Expressions from Fourier Spectrum COLT 2012
Robust Interactive Learning COLT 2012
Distributed Learning, Communication Complexity and Privacy COLT 2012
New Bounds for Learning Intervals with Implications for Semi-Supervised Learning COLT 2012
Tight Bounds on Proper Equivalence Query Learning of DNF COLT 2012
Random Search for Hyper-Parameter Optimization JMLR 2012
A Primal-Dual Convergence Analysis of Boosting JMLR 2012
Structured Sparsity and Generalization JMLR 2012
A Geometric Approach to Sample Compression JMLR 2012
On Ranking and Generalization Bounds JMLR 2012
Activized Learning: Transforming Passive to Active with Improved Label Complexity JMLR 2012
Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012
On the Necessity of Irrelevant Variables JMLR 2012
On the Convergence Rate of -Norm Multiple Kernel Learning JMLR 2012
Online Submodular Minimization JMLR 2012
Multi-Instance Learning with Any Hypothesis Class JMLR 2012
Action-Gap Phenomenon in Reinforcement Learning NIPS 2011