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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)

Cone-Constrained Principal Component Analysis NIPS 2014
Dynamic Rank Factor Model for Text Streams NIPS 2014
Online combinatorial optimization with stochastic decision sets and adversarial losses NIPS 2014
Learning convolution filters for inverse covariance estimation of neural network connectivity NIPS 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Online Optimization for Max-Norm Regularization NIPS 2014
Optimizing Energy Production Using Policy Search and Predictive State Representations NIPS 2014
Kernel Mean Estimation via Spectral Filtering NIPS 2014
Beyond Disagreement-Based Agnostic Active Learning NIPS 2014
Distance-Based Network Recovery under Feature Correlation NIPS 2014
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NIPS 2014
A Complete Variational Tracker NIPS 2014
Optimal prior-dependent neural population codes under shared input noise NIPS 2014
Extracting Latent Structure From Multiple Interacting Neural Populations NIPS 2014
Near-optimal Reinforcement Learning in Factored MDPs NIPS 2014
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NIPS 2014
Difference of Convex Functions Programming for Reinforcement Learning NIPS 2014
SerialRank: Spectral Ranking using Seriation NIPS 2014
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NIPS 2014
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NIPS 2014
Exact Post Model Selection Inference for Marginal Screening NIPS 2014
Sequential Monte Carlo for Graphical Models NIPS 2014
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NIPS 2014
Extreme bandits NIPS 2014
Efficient Minimax Strategies for Square Loss Games NIPS 2014