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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)

Bounded regret in stochastic multi-armed bandits COLT 2013
Recovering the Optimal Solution by Dual Random Projection COLT 2013
Opportunistic Strategies for Generalized No-Regret Problems COLT 2013
Online Learning for Time Series Prediction COLT 2013
Beating Bandits in Gradually Evolving Worlds COLT 2013
Information Complexity in Bandit Subset Selection COLT 2013
Passive Learning with Target Risk COLT 2013
Blind Signal Separation in the Presence of Gaussian Noise COLT 2013
Active and passive learning of linear separators under log-concave distributions COLT 2013
Randomized partition trees for exact nearest neighbor search COLT 2013
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses COLT 2013
Algorithms and Hardness for Robust Subspace Recovery COLT 2013
Learning Using Local Membership Queries COLT 2013
Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013
Prediction by random-walk perturbation COLT 2013
Approachability, fast and slow COLT 2013
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising COLT 2013
General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013
Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching COLT 2013
Subspace Embeddings and \ell_p-Regression Using Exponential Random Variables COLT 2013
Divide and Conquer Kernel Ridge Regression COLT 2013
Regret Minimization for Branching Experts COLT 2013
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013
Online Similarity Prediction of Networked Data from Known and Unknown Graphs COLT 2013
A near-optimal algorithm for finite partial-monitoring games against adversarial opponents COLT 2013