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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)

Deterministic Symmetric Positive Semidefinite Matrix Completion NIPS 2014
Inferring synaptic conductances from spike trains with a biophysically inspired point process model NIPS 2014
Structure Regularization for Structured Prediction NIPS 2014
Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning NIPS 2014
Optimal rates for k-NN density and mode estimation NIPS 2014
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NIPS 2014
Accelerated Mini-batch Randomized Block Coordinate Descent Method NIPS 2014
Nonparametric Bayesian inference on multivariate exponential families NIPS 2014
Fast Training of Pose Detectors in the Fourier Domain NIPS 2014
Iterative Neural Autoregressive Distribution Estimator NADE-k NIPS 2014
Model-based Reinforcement Learning and the Eluder Dimension NIPS 2014
Do Deep Nets Really Need to be Deep? NIPS 2014
A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment NIPS 2014
Probabilistic Differential Dynamic Programming NIPS 2014
Smoothed Gradients for Stochastic Variational Inference NIPS 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NIPS 2014
Multiscale Fields of Patterns NIPS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input NIPS 2014
Robust Bayesian Max-Margin Clustering NIPS 2014
Scalable Inference for Neuronal Connectivity from Calcium Imaging NIPS 2014
A framework for studying synaptic plasticity with neural spike train data NIPS 2014
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NIPS 2014
DFacTo: Distributed Factorization of Tensors NIPS 2014
Simple MAP Inference via Low-Rank Relaxations NIPS 2014