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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)

Distributed Delayed Stochastic Optimization NIPS 2011
Contextual Gaussian Process Bandit Optimization NIPS 2011
Learning with the weighted trace-norm under arbitrary sampling distributions NIPS 2011
Demixed Principal Component Analysis NIPS 2011
Reconstructing Patterns of Information Diffusion from Incomplete Observations NIPS 2011
Differentially Private M-Estimators NIPS 2011
Structured sparse coding via lateral inhibition NIPS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
Submodular Multi-Label Learning NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Sparse Estimation with Structured Dictionaries NIPS 2011
Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NIPS 2011
The Fixed Points of Off-Policy TD NIPS 2011
Pylon Model for Semantic Segmentation NIPS 2011
How biased are maximum entropy models? NIPS 2011
Gaussian process modulated renewal processes NIPS 2011
An ideal observer model for identifying the reference frame of objects NIPS 2011
Greedy Algorithms for Structurally Constrained High Dimensional Problems NIPS 2011
Improving Policy Gradient Estimates with Influence Information ACML 2011
Learning to Locate Relative Outliers ACML 2011
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo ACML 2011
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications ACML 2011
Quadratic Weighted Automata:Spectral Algorithm and Likelihood Maximization ACML 2011
Approximate Model Selection for Large Scale LSSVM ACML 2011