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)

Local Bayesian Optimization of Motor Skills ICML 2017 Locality in Random SAT Instances IJCAI 2017 Locality Preserving Matching IJCAI 2017 Localized Lasso for High-Dimensional Regression AISTATS 2017 Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization IJCAI 2017 Logistic Markov Decision Processes IJCAI 2017 Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning NeurIPS 2017 Lookahead Bayesian Optimization with Inequality Constraints NeurIPS 2017 Loss Max-Pooling for Semantic Image Segmentation CVPR 2017 Lossy Compression of Pattern Databases Using Acyclic Random Hypergraphs IJCAI 2017 Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization COLT 2017 Lower bounds on the robustness to adversarial perturbations NeurIPS 2017 Low-Rank Bilinear Pooling for Fine-Grained Classification CVPR 2017 Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent NeurIPS 2017 Macro Grammars and Holistic Triggering for Efficient Semantic Parsing EMNLP 2017 Magnetic Hamiltonian Monte Carlo ICML 2017 Magnitude-Preserving Ranking for Structured Outputs ACML 2017 Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions JMLR 2017 Mapping the Perfect via Translation Mining EACL 2017 Markov Chain Truncation for Doubly-Intractable Inference AISTATS 2017 Massive Exploration of Neural Machine Translation Architectures EMNLP 2017 Matrix Completion with Noisy Entries and Outliers JMLR 2017 Matrix Norm Estimation from a Few Entries NeurIPS 2017 Matting and Depth Recovery of Thin Structures Using a Focal Stack CVPR 2017 Maximum Expected Likelihood Estimation for Zero-resource Neural Machine Translation IJCAI 2017