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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)

Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals JMLR 2019 Optimizing a Speaker Embedding Extractor Through Backend-Driven Regularization Interspeech 2019 Optimizing Constraint Solving via Dynamic Programming IJCAI 2019 Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning AAAI 2019 Optimizing Generalized Rate Metrics with Three Players NeurIPS 2019 Optimizing Interactive Systems with Data-Driven Objectives IJCAI 2019 Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface AAAI 2019 Optimizing Network Structure for 3D Human Pose Estimation ICCV 2019 Optimizing over a Restricted Policy Class in MDPs AISTATS 2019 Optimizing the F-Measure for Threshold-Free Salient Object Detection ICCV 2019 Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback NeurIPS 2019 Order Optimal One-Shot Distributed Learning NeurIPS 2019 Ordinal Triplet Loss: Investigating Sleepiness Detection from Speech Interspeech 2019 Orthogonal Estimation of Wasserstein Distances AISTATS 2019 Orthogonality-Promoting Dictionary Learning via Bayesian Inference AAAI 2019 Ouroboros: On Accelerating Training of Transformer-Based Language Models NeurIPS 2019 Outlier-robust estimation of a sparse linear model using ℓ_1-penalized Huber's M-estimator NeurIPS 2019 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NeurIPS 2019 Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization IJCAI 2019 Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models ICML 2019 Overcoming Multi-model Forgetting ICML 2019 Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? ICML 2019 Oversampling for Imbalanced Data via Optimal Transport AAAI 2019 Overview of the 6th Workshop on Asian Translation EMNLP 2019 P3O: Policy-on Policy-off Policy Optimization UAI 2019