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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

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

Scale Adaptive Blind Deblurring NeurIPS 2014 Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch AISTATS 2014 Scaling Nonparametric Bayesian Inference via Subsample-Annealing AISTATS 2014 Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014 Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations ICML 2014 Scaling-up Importance Sampling for Markov Logic Networks NeurIPS 2014 SCAMS: Simultaneous Clustering and Model Selection CVPR 2014 Scanline Sampler without Detailed Balance: An Efficient MCMC for MRF Optimization CVPR 2014 Scene Labeling Using Beam Search Under Mutex Constraints CVPR 2014 SeamSeg: Video Object Segmentation using Patch Seams CVPR 2014 Second-Order Shape Optimization for Geometric Inverse Problems in Vision CVPR 2014 Selective Sampling with Drift AISTATS 2014 Self-Paced Learning with Diversity NeurIPS 2014 Semantic Localization Via the Matrix Permanent RSS 2014 Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models NeurIPS 2014 Semi-supervised Learning with Deep Generative Models NeurIPS 2014 Sensory Integration and Density Estimation NeurIPS 2014 Sequential crowdsourced labeling as an epsilon-greedy exploration in a Markov Decision Process AISTATS 2014 Sequential Monte Carlo for Graphical Models NeurIPS 2014 SerialRank: Spectral Ranking using Seriation NeurIPS 2014 Set-Valued Approachability and Online Learning with Partial Monitoring JMLR 2014 Shaping Social Activity by Incentivizing Users NeurIPS 2014 Shrinkage Fields for Effective Image Restoration CVPR 2014 Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation NeurIPS 2014 Signal recovery from Pooling Representations ICML 2014