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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)

Clustering sequence sets for motif discovery NIPS 2009
Bayesian Nonparametric Models on Decomposable Graphs NIPS 2009
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NIPS 2009
Streaming k-means approximation NIPS 2009
Help or Hinder: Bayesian Models of Social Goal Inference NIPS 2009
Sequential effects reflect parallel learning of multiple environmental regularities NIPS 2009
Noisy Generalized Binary Search NIPS 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization NIPS 2009
Optimal context separation of spiking haptic signals by second-order somatosensory neurons NIPS 2009
Learning with Compressible Priors NIPS 2009
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features NIPS 2009
Particle-based Variational Inference for Continuous Systems NIPS 2009
Efficient Learning using Forward-Backward Splitting NIPS 2009
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry NIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NIPS 2009
Perceptual Multistability as Markov Chain Monte Carlo Inference NIPS 2009
Probabilistic Relational PCA NIPS 2009
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NIPS 2009
A Game-Theoretic Approach to Hypergraph Clustering NIPS 2009
Adaptive Design Optimization in Experiments with People NIPS 2009
Riffled Independence for Ranked Data NIPS 2009
A Neural Implementation of the Kalman Filter NIPS 2009
An LP View of the M-best MAP problem NIPS 2009
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing NIPS 2009