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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)

Probabilistic low-rank matrix completion on finite alphabets NIPS 2014
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NIPS 2014
Exponential Concentration of a Density Functional Estimator NIPS 2014
Efficient Structured Matrix Rank Minimization NIPS 2014
Top Rank Optimization in Linear Time NIPS 2014
On Multiplicative Multitask Feature Learning NIPS 2014
Spectral Methods for Indian Buffet Process Inference NIPS 2014
A Drifting-Games Analysis for Online Learning and Applications to Boosting NIPS 2014
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models NIPS 2014
Causal Inference through a Witness Protection Program NIPS 2014
Multivariate Regression with Calibration NIPS 2014
Recovery of Coherent Data via Low-Rank Dictionary Pursuit NIPS 2014
On Communication Cost of Distributed Statistical Estimation and Dimensionality NIPS 2014
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain NIPS 2014
Convex Deep Learning via Normalized Kernels NIPS 2014
Rates of Convergence for Nearest Neighbor Classification NIPS 2014
Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology NIPS 2014
Learning Multiple Tasks in Parallel with a Shared Annotator NIPS 2014
large scale canonical correlation analysis with iterative least squares NIPS 2014
PEWA: Patch-based Exponentially Weighted Aggregation for image denoising NIPS 2014
Large-Margin Convex Polytope Machine NIPS 2014
Hardness of parameter estimation in graphical models NIPS 2014
Decoupled Variational Gaussian Inference NIPS 2014
Sparse Space-Time Deconvolution for Calcium Image Analysis NIPS 2014