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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)

An online Hebbian learning rule that performs Independent Component Analysis NIPS 2007
How SVMs can estimate quantiles and the median NIPS 2007
Random Projections for Manifold Learning NIPS 2007
Convex Learning with Invariances NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Adaptive Online Gradient Descent NIPS 2007
Bundle Methods for Machine Learning NIPS 2007
Catching Up Faster in Bayesian Model Selection and Model Averaging NIPS 2007
Receptive Fields without Spike-Triggering NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Better than least squares: comparison of objective functions for estimating linear-nonlinear models NIPS 2007
Structured Learning with Approximate Inference NIPS 2007
On Ranking in Survival Analysis: Bounds on the Concordance Index NIPS 2007
Kernel Measures of Conditional Dependence NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Temporal Difference Updating without a Learning Rate NIPS 2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
Convex Clustering with Exemplar-Based Models NIPS 2007
Learning Bounds for Domain Adaptation NIPS 2007
SpAM: Sparse Additive Models NIPS 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007