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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View NeurIPS 2020 Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020 Theory-Inspired Path-Regularized Differential Network Architecture Search NeurIPS 2020 Theory of Curriculum Learning, with Convex Loss Functions JMLR 2020 The Performance Analysis of Generalized Margin Maximizers on Separable Data ICML 2020 The phase diagram of approximation rates for deep neural networks NeurIPS 2020 The Pitfalls of Simplicity Bias in Neural Networks NeurIPS 2020 The Power of Batching in Multiple Hypothesis Testing AISTATS 2020 The Power of Comparisons for Actively Learning Linear Classifiers NeurIPS 2020 The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture ICML 2020 The route to chaos in routing games: When is price of anarchy too optimistic? NeurIPS 2020 The Sample Complexity of Best-k Items Selection from Pairwise Comparisons ICML 2020 The Smoothed Possibility of Social Choice NeurIPS 2020 The Stanford Acuity Test: A Precise Vision Test Using Bayesian Techniques and a Discovery in Human Visual Response AAAI 2020 The Statistical Complexity of Early-Stopped Mirror Descent NeurIPS 2020 The Statistical Cost of Robust Kernel Hyperparameter Turning NeurIPS 2020 The Strong Screening Rule for SLOPE NeurIPS 2020 The Surprising Power of Hiding Information in Facility Location AAAI 2020 The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks NeurIPS 2020 The Sylvester Graphical Lasso (SyGlasso) AISTATS 2020 The Transference Architecture for Automatic Post-Editing COLING 2020 The True Sample Complexity of Identifying Good Arms AISTATS 2020 The Usual Suspects? Reassessing Blame for VAE Posterior Collapse ICML 2020 The weight function in the subtree kernel is decisive JMLR 2020 Thompson Sampling for Adversarial Bit Prediction ALT 2020