Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Bayesian Quadrature for Multiple Related Integrals ICML 2018 Bayesian Structure Learning by Recursive Bootstrap NeurIPS 2018 Bayesian Tactile Exploration for Compliant Docking With Uncertain Shapes RSS 2018 Bayesian Trees for Automated Cytometry Data Analysis MLHC 2018 Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods AISTATS 2018 Beauty-in-averageness and its contextual modulations: A Bayesian statistical account NeurIPS 2018 Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness NAACL 2018 Behavior of Analogical Inference w.r.t. Boolean Functions IJCAI 2018 Benchmarking Reinforcement Learning Algorithms on Real-World Robots CoRL 2018 Benefits from Superposed Hawkes Processes AISTATS 2018 Benefits of over-parameterization with EM NeurIPS 2018 Best Arm Identification in Linear Bandits with Linear Dimension Dependency ICML 2018 Best arm identification in multi-armed bandits with delayed feedback AISTATS 2018 Best of both worlds: Stochastic & adversarial best-arm identification COLT 2018 Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter EMNLP 2018 Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations ICML 2018 Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NeurIPS 2018 Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial Multi-armed Bandits JMLR 2018 Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018 Beyond the Pixel-Wise Loss for Topology-Aware Delineation CVPR 2018 Bias and Generalization in Deep Generative Models: An Empirical Study NeurIPS 2018 Bilevel Distance Metric Learning for Robust Image Recognition NeurIPS 2018 Bilevel learning of the Group Lasso structure NeurIPS 2018 Binary Classification with Karmic, Threshold-Quasi-Concave Metrics ICML 2018 Binary Partitions with Approximate Minimum Impurity ICML 2018