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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Ordinal Regression by Extended Binary Classification NIPS 2006
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NIPS 2006
Graph Laplacian Regularization for Large-Scale Semidefinite Programming NIPS 2006
Multiple timescales and uncertainty in motor adaptation NIPS 2006
Learning from Multiple Sources NIPS 2006
Bayesian Image Super-resolution, Continued NIPS 2006
Geometric entropy minimization (GEM) for anomaly detection and localization NIPS 2006
Bayesian Ensemble Learning NIPS 2006
The Robustness-Performance Tradeoff in Markov Decision Processes NIPS 2006
Combining causal and similarity-based reasoning NIPS 2006
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NIPS 2006
Online Classification for Complex Problems Using Simultaneous Projections NIPS 2006
Convex Repeated Games and Fenchel Duality NIPS 2006
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure NIPS 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
Modeling Dyadic Data with Binary Latent Factors NIPS 2006
Theory and Dynamics of Perceptual Bistability NIPS 2006
Aggregating Classification Accuracy across Time: Application to Single Trial EEG NIPS 2006
Accelerated Variational Dirichlet Process Mixtures NIPS 2006
Efficient sparse coding algorithms NIPS 2006
Temporal Coding using the Response Properties of Spiking Neurons NIPS 2006
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments NIPS 2006
Hierarchical Dirichlet Processes with Random Effects NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
A Local Learning Approach for Clustering NIPS 2006