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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)

Sinkhorn Distances: Lightspeed Computation of Optimal Transport NeurIPS 2013 Sketching Structured Matrices for Faster Nonlinear Regression NeurIPS 2013 SLAM++: Simultaneous Localisation and Mapping at the Level of Objects CVPR 2013 Slice Sampling Particle Belief Propagation ICCV 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Smooth Operators ICML 2013 Solving inverse problem of Markov chain with partial observations NeurIPS 2013 Solving the multi-way matching problem by permutation synchronization NeurIPS 2013 Sparse Activity and Sparse Connectivity in Supervised Learning JMLR 2013 Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Sparse Additive Text Models with Low Rank Background NeurIPS 2013 Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013 Sparse Inverse Covariance Estimation with Calibration NeurIPS 2013 Sparse Matrix Inversion with Scaled Lasso JMLR 2013 Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NeurIPS 2013 Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NeurIPS 2013 Sparse PCA through Low-rank Approximations ICML 2013 Sparse projections onto the simplex ICML 2013 Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory JMLR 2013 Sparse Single-Index Model JMLR 2013 Sparse Subspace Denoising for Image Manifolds CVPR 2013 Sparse Variation Dictionary Learning for Face Recognition with a Single Training Sample per Person ICCV 2013 Sparsity-Based Generalization Bounds for Predictive Sparse Coding ICML 2013 Sparsity Regret Bounds for Individual Sequences in Online Linear Regression JMLR 2013 Spectral Compressed Sensing via Structured Matrix Completion ICML 2013