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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)

Direct Loss Minimization for Structured Prediction NeurIPS 2010 Dirichlet Process Mixtures of Generalized Linear Models AISTATS 2010 Discriminative Clustering by Regularized Information Maximization NeurIPS 2010 Distributed Dual Averaging In Networks NeurIPS 2010 Distributed Optimization with Pairwise Constraints and its Application to Multi-robot Path Planning RSS 2010 Distributionally Robust Markov Decision Processes NeurIPS 2010 Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NeurIPS 2010 Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization JMLR 2010 Dynamic Infinite Relational Model for Time-varying Relational Data Analysis NeurIPS 2010 Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks NeurIPS 2010 Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NeurIPS 2010 Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization NeurIPS 2010 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010 Efficient Minimization of Decomposable Submodular Functions NeurIPS 2010 Efficient Multioutput Gaussian Processes through Variational Inducing Kernels AISTATS 2010 Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data RSS 2010 Efficient Optimization for Discriminative Latent Class Models NeurIPS 2010 Ellipsoidal Support Vector Machines ACML 2010 Elliptical slice sampling AISTATS 2010 Empirical Bernstein Boosting AISTATS 2010 Empirical Bernstein Inequalities for U-Statistics NeurIPS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Erratum: SGDQN is Less Careful than Expected JMLR 2010 Error Propagation for Approximate Policy and Value Iteration NeurIPS 2010