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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)

Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NeurIPS 2014 Submodular Object Recognition CVPR 2014 Subspace Embeddings for the Polynomial Kernel NeurIPS 2014 Subspace Tracking under Dynamic Dimensionality for Online Background Subtraction CVPR 2014 Support vector machines with indefinite kernels ACML 2014 Surrogate Regret Bounds for Bipartite Ranking via Strongly Proper Losses JMLR 2014 Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits ICML 2014 Tensor Decompositions for Learning Latent Variable Models JMLR 2014 Testing Unfaithful Gaussian Graphical Models NeurIPS 2014 The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NeurIPS 2014 The Blinded Bandit: Learning with Adaptive Feedback NeurIPS 2014 The Coherent Loss Function for Classification ICML 2014 The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014 The Dependent Dirichlet Process Mixture of Objects for Detection-free Tracking and Object Modeling AISTATS 2014 The Falling Factorial Basis and Its Statistical Applications ICML 2014 The Geometry of Losses COLT 2014 The Infinite Mixture of Infinite Gaussian Mixtures NeurIPS 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014 The Noisy Power Method: A Meta Algorithm with Applications NeurIPS 2014 The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo JMLR 2014 The sample complexity of agnostic learning under deterministic labels COLT 2014 Thompson Sampling for Complex Online Problems ICML 2014 Three Guidelines of Online Learning for Large-Scale Visual Recognition CVPR 2014 Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NeurIPS 2014