conftrace_

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

14

29

44

31

52

189

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212

235

352

382

457

787

816

828

1,066

1,391

1,913

3,012

3,646

4,303

4,450

5,357

6,155

5,854

1,521

2000

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Papers (including subtopics)

Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007 Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression JMLR 2007 Heterogeneous Component Analysis NeurIPS 2007 Hierarchical Penalization NeurIPS 2007 How SVMs can estimate quantiles and the median NeurIPS 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Inferring Elapsed Time from Stochastic Neural Processes NeurIPS 2007 Infinitely Imbalanced Logistic Regression JMLR 2007 Infinite State Bayes-Nets for Structured Domains NeurIPS 2007 Kernel Measures of Conditional Dependence NeurIPS 2007 Learnability of Gaussians with Flexible Variances JMLR 2007 Learning Bounds for Domain Adaptation NeurIPS 2007 Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners JMLR 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 Learning to classify complex patterns using a VLSI network of spiking neurons NeurIPS 2007 Learning with Transformation Invariant Kernels NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions NeurIPS 2007 Linear programming analysis of loopy belief propagation for weighted matching NeurIPS 2007 Local Algorithms for Approximate Inference in Minor-Excluded Graphs NeurIPS 2007 Loop Corrections for Approximate Inference on Factor Graphs JMLR 2007 Markov Chain Monte Carlo with People NeurIPS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 Measuring Neural Synchrony by Message Passing NeurIPS 2007 Message Passing for Max-weight Independent Set NeurIPS 2007 Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007