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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Non-Convex Matrix Completion Against a Semi-Random Adversary COLT 2018 Non-delusional Q-learning and value-iteration NeurIPS 2018 Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018 Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling NeurIPS 2018 Non-monotone Submodular Maximization in Exponentially Fewer Iterations NeurIPS 2018 Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks NeurIPS 2018 Nonparametric Bayesian sparse graph linear dynamical systems AISTATS 2018 Nonparametric Density Estimation under Adversarial Losses NeurIPS 2018 Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training AISTATS 2018 Nonparametric learning from Bayesian models with randomized objective functions NeurIPS 2018 Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization AISTATS 2018 Nonrigid Points Alignment with Soft-weighted Selection IJCAI 2018 Nonstochastic Bandits with Composite Anonymous Feedback COLT 2018 Normal Bandits of Unknown Means and Variances JMLR 2018 Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018 Not-So-Random Features ICLR 2018 Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving IJCAI 2018 Numerical Analysis near Singularities in RBF Networks JMLR 2018 Objective Function Learning to Match Human Judgements for Optimization-Based Summarization NAACL 2018 Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words ACL 2018 On Acceleration with Noise-Corrupted Gradients ICML 2018 On Binary Classification in Extreme Regions NeurIPS 2018 On Concept Forgetting in Description Logics with Qualified Number Restrictions IJCAI 2018 On denoising modulo 1 samples of a function AISTATS 2018 On Faster Convergence of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization JMLR 2018