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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection CVPR 2013 Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics RSS 2013 In Defense of 3D-Label Stereo CVPR 2013 Inference algorithms for pattern-based CRFs on sequence data ICML 2013 Inferring neural population dynamics from multiple partial recordings of the same neural circuit NeurIPS 2013 Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals ICML 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 Information Complexity in Bandit Subset Selection COLT 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Integrated Non-Factorized Variational Inference NeurIPS 2013 Intersecting singularities for multi-structured estimation ICML 2013 Intrinsic Characterization of Dynamic Surfaces CVPR 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 Iterative Learning and Denoising in Convolutional Neural Associative Memories ICML 2013 It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals NeurIPS 2013 Joint Harmonic Functions and Their Supervised Connections JMLR 2013 Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013 Keep It Simple And Sparse: Real-Time Action Recognition JMLR 2013 Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels JMLR 2013 Kernelized Bayesian Matrix Factorization ICML 2013 Label Partitioning For Sublinear Ranking ICML 2013 Large Displacement Optical Flow from Nearest Neighbor Fields CVPR 2013 Large-Scale Bandit Problems and KWIK Learning ICML 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Large-Scale Image Annotation by Efficient and Robust Kernel Metric Learning ICCV 2013