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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Fast Mixing for Discrete Point Processes COLT 2015
Generalized Mixability via Entropic Duality COLT 2015
On the Complexity of Bandit Linear Optimization COLT 2015
An Almost Optimal PAC Algorithm COLT 2015
Minimax rates for memory-bounded sparse linear regression COLT 2015
Interactive Fingerprinting Codes and the Hardness of Preventing False Discovery COLT 2015
Convex Risk Minimization and Conditional Probability Estimation COLT 2015
Regularized Linear Regression: A Precise Analysis of the Estimation Error COLT 2015
Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity COLT 2015
On Convergence of Emphatic Temporal-Difference Learning COLT 2015
Supervised Discrete Hashing CVPR 2015
Blur Kernel Estimation Using Normalized Color-Line Prior CVPR 2015
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction CVPR 2015
A Metric Parametrization for Trifocal Tensors With Non-Colinear Pinholes CVPR 2015
Small-Variance Nonparametric Clustering on the Hypersphere CVPR 2015
Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches CVPR 2015
Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015
Graph-Based Simplex Method for Pairwise Energy Minimization With Binary Variables CVPR 2015
Maximum Persistency via Iterative Relaxed Inference With Graphical Models CVPR 2015
Global Refinement of Random Forest CVPR 2015
Transformation of Markov Random Fields for Marginal Distribution Estimation CVPR 2015
Sparse Convolutional Neural Networks CVPR 2015
End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression CVPR 2015
Elastic-Net Regularization of Singular Values for Robust Subspace Learning CVPR 2015
Predicting the Future Behavior of a Time-Varying Probability Distribution CVPR 2015