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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)

Bayesian Optimization using Pseudo-Points IJCAI 2020 Bayesian Probabilistic Numerical Integration with Tree-Based Models NeurIPS 2020 Bayesian Pseudocoresets NeurIPS 2020 Bayesian Reinforcement Learning via Deep, Sparse Sampling AISTATS 2020 Bayesian Sparsification of Deep C-valued Networks ICML 2020 BayesOpt Adversarial Attack ICLR 2020 BayReL: Bayesian Relational Learning for Multi-omics Data Integration NeurIPS 2020 Being Bayesian about Categorical Probability ICML 2020 Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks ICML 2020 Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy AAAI 2020 Belief Merging Operators as Maximum Likelihood Estimators IJCAI 2020 Beliefs We Can Believe in: Replacing Assumptions with Data in Real-Time Search AAAI 2020 Benchmarking Adversarial Robustness on Image Classification CVPR 2020 Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method NeurIPS 2020 BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance EMNLP 2020 Bessel Smoothing and Multi-Distribution Property Estimation COLT 2020 Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting ICML 2020 Best Arm Identification in Spectral Bandits IJCAI 2020 Best-first Enumeration Based on Bounding Conflicts, and its Application to Large-scale Hybrid Estimation (Extended Abstract) IJCAI 2020 Best-item Learning in Random Utility Models with Subset Choices AISTATS 2020 Best Practices for Scientific Research on Neural Architecture Search JMLR 2020 Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation COLT 2020 Better depth-width trade-offs for neural networks through the lens of dynamical systems ICML 2020 Better Full-Matrix Regret via Parameter-Free Online Learning NeurIPS 2020 Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer AISTATS 2020