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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)

Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning NIPS 2011
Spectral Methods for Learning Multivariate Latent Tree Structure NIPS 2011
Query-Aware MCMC NIPS 2011
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NIPS 2011
Sparse Recovery with Brownian Sensing NIPS 2011
Metric Learning with Multiple Kernels NIPS 2011
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NIPS 2011
Automated Refinement of Bayes Networks' Parameters based on Test Ordering Constraints NIPS 2011
Structure Learning for Optimization NIPS 2011
Multiclass Boosting: Theory and Algorithms NIPS 2011
Composite Multiclass Losses NIPS 2011
Scalable Training of Mixture Models via Coresets NIPS 2011
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011
Testing a Bayesian Measure of Representativeness Using a Large Image Database NIPS 2011
Dynamical segmentation of single trials from population neural data NIPS 2011
Approximating Semidefinite Programs in Sublinear Time NIPS 2011
Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NIPS 2011
A concave regularization technique for sparse mixture models NIPS 2011
Trace Lasso: a trace norm regularization for correlated designs NIPS 2011
Linear Submodular Bandits and their Application to Diversified Retrieval NIPS 2011
Learning Eigenvectors for Free NIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Bayesian Partitioning of Large-Scale Distance Data NIPS 2011
RTRMC: A Riemannian trust-region method for low-rank matrix completion NIPS 2011
Complexity of Inference in Latent Dirichlet Allocation NIPS 2011