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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)

Optimal models of sound localization by barn owls NIPS 2007
Heterogeneous Component Analysis NIPS 2007
One-Pass Boosting NIPS 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
On higher-order perceptron algorithms NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
The Infinite Markov Model NIPS 2007
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms NIPS 2007
Online Linear Regression and Its Application to Model-Based Reinforcement Learning NIPS 2007
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NIPS 2007
A Randomized Algorithm for Large Scale Support Vector Learning NIPS 2007
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NIPS 2007
The Price of Bandit Information for Online Optimization NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Learning with Transformation Invariant Kernels NIPS 2007
Learning to classify complex patterns using a VLSI network of spiking neurons NIPS 2007
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
Message Passing for Max-weight Independent Set NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
Measuring Neural Synchrony by Message Passing NIPS 2007
Discriminative Batch Mode Active Learning NIPS 2007
What makes some POMDP problems easy to approximate? NIPS 2007
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007