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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)

Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees COLT 2013
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret COLT 2013
Polynomial Time Optimal Query Algorithms for Finding Graphs with Arbitrary Real Weights COLT 2013
Differentially Private Feature Selection via Stability Arguments, and the Robustness of the Lasso COLT 2013
Boosting with the Logistic Loss is Consistent COLT 2013
Competing With Strategies COLT 2013
Online Learning with Predictable Sequences COLT 2013
Efficient Learning of Simplices COLT 2013
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013
A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles CVPR 2013
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems CVPR 2013
Submodular Salient Region Detection CVPR 2013
Computing Diffeomorphic Paths for Large Motion Interpolation CVPR 2013
Separating Signal from Noise Using Patch Recurrence across Scales CVPR 2013
Accurate and Robust Registration of Nonrigid Surface Using Hierarchical Statistical Shape Model CVPR 2013
Context-Aware Modeling and Recognition of Activities in Video CVPR 2013
Learning to Detect Partially Overlapping Instances CVPR 2013
Optimized Product Quantization for Approximate Nearest Neighbor Search CVPR 2013
Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow CVPR 2013
In Defense of 3D-Label Stereo CVPR 2013
Fast Convolutional Sparse Coding CVPR 2013
Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013
SWIGS: A Swift Guided Sampling Method CVPR 2013
Recognize Human Activities from Partially Observed Videos CVPR 2013
An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision CVPR 2013