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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)

Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014
Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts ICML 2014
Wasserstein Propagation for Semi-Supervised Learning ICML 2014
Max-Margin Infinite Hidden Markov Models ICML 2014
Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014
Generalized Exponential Concentration Inequality for Renyi Divergence Estimation ICML 2014
Boosting with Online Binary Learners for the Multiclass Bandit Problem ICML 2014
Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm ICML 2014
Computing Parametric Ranking Models via Rank-Breaking ICML 2014
Tracking Adversarial Targets ICML 2014
Online Bayesian Passive-Aggressive Learning ICML 2014
Deterministic Policy Gradient Algorithms ICML 2014
Modeling Correlated Arrival Events with Latent Semi-Markov Processes ICML 2014
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach ICML 2014
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification ICML 2014
On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014
Bias in Natural Actor-Critic Algorithms ICML 2014
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014
On Modelling Non-linear Topical Dependencies ICML 2014
A Deep and Tractable Density Estimator ICML 2014
(Near) Dimension Independent Risk Bounds for Differentially Private Learning ICML 2014
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014
Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014