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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)

Linear Time Solver for Primal SVM ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo ICML 2014
Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014
Least Squares Revisited: Scalable Approaches for Multi-class Prediction ICML 2014
On Robustness and Regularization of Structural Support Vector Machines ICML 2014
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods ICML 2014
Alternating Minimization for Mixed Linear Regression ICML 2014
Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification ICML 2014
Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014
Statistical analysis of stochastic gradient methods for generalized linear models ICML 2014
Coding for Random Projections ICML 2014
Learning Mixtures of Linear Classifiers ICML 2014
The Falling Factorial Basis and Its Statistical Applications ICML 2014
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014
A Unifying View of Representer Theorems ICML 2014
Online Clustering of Bandits ICML 2014
Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014
Multivariate Maximal Correlation Analysis ICML 2014
Efficient Label Propagation ICML 2014
Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm ICML 2014
Putting MRFs on a Tensor Train ICML 2014
Reducing Dueling Bandits to Cardinal Bandits ICML 2014
Hard-Margin Active Linear Regression ICML 2014
Maximum Margin Multiclass Nearest Neighbors ICML 2014