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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)

Constrained convex minimization via model-based excessive gap NIPS 2014
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
Parallel Sampling of HDPs using Sub-Cluster Splits NIPS 2014
Coresets for k-Segmentation of Streaming Data NIPS 2014
Multivariate f-divergence Estimation With Confidence NIPS 2014
Feedback Detection for Live Predictors NIPS 2014
Sparse Polynomial Learning and Graph Sketching NIPS 2014
Distributed Balanced Clustering via Mapping Coresets NIPS 2014
Automated Variational Inference for Gaussian Process Models NIPS 2014
Learning on graphs using Orthonormal Representation is Statistically Consistent NIPS 2014
Projecting Markov Random Field Parameters for Fast Mixing NIPS 2014
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data NIPS 2014
Rounding-based Moves for Metric Labeling NIPS 2014
Efficient learning by implicit exploration in bandit problems with side observations NIPS 2014
Tree-structured Gaussian Process Approximations NIPS 2014
Asynchronous Anytime Sequential Monte Carlo NIPS 2014
Spectral k-Support Norm Regularization NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Self-Paced Learning with Diversity NIPS 2014
Information-based learning by agents in unbounded state spaces NIPS 2014
Orbit Regularization NIPS 2014
Analog Memories in a Balanced Rate-Based Network of E-I Neurons NIPS 2014
Bayesian Inference for Structured Spike and Slab Priors NIPS 2014
Expectation-Maximization for Learning Determinantal Point Processes NIPS 2014
Sensory Integration and Density Estimation NIPS 2014