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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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'25

Papers (including subtopics)

CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation NeurIPS 2007 Data Association in O(n) for Divide and Conquer SLAM RSS 2007 Density Estimation under Independent Similarly Distributed Sampling Assumptions NeurIPS 2007 DIFFRAC: a discriminative and flexible framework for clustering NeurIPS 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 Discovering Weakly-Interacting Factors in a Complex Stochastic Process NeurIPS 2007 Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007 Discriminative Batch Mode Active Learning NeurIPS 2007 Distributed Inference for Latent Dirichlet Allocation NeurIPS 2007 Dynamics and Generalization Ability of LVQ Algorithms JMLR 2007 Efficient Bayesian Inference for Dynamically Changing Graphs NeurIPS 2007 Efficient Convex Relaxation for Transductive Support Vector Machine NeurIPS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 Efficient multiple hyperparameter learning for log-linear models NeurIPS 2007 Efficient Principled Learning of Thin Junction Trees NeurIPS 2007 Emergent Task Allocation for Mobile Robots RSS 2007 Ensemble Clustering using Semidefinite Programming NeurIPS 2007 Estimating disparity with confidence from energy neurons NeurIPS 2007 Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization NeurIPS 2007 Expectation Maximization and Posterior Constraints NeurIPS 2007 Fast Variational Inference for Large-scale Internet Diagnosis NeurIPS 2007 FilterBoost: Regression and Classification on Large Datasets NeurIPS 2007 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007 Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations NeurIPS 2007 From External to Internal Regret JMLR 2007