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)

Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model NeurIPS 2018 Nebula: F0 Estimation and Voicing Detection by Modeling the Statistical Properties of Feature Extractors Interspeech 2018 NEON2: Finding Local Minima via First-Order Oracles NeurIPS 2018 NetComplete: Practical Network-Wide Configuration Synthesis with Autocompletion NSDI 2018 Network Approximation using Tensor Sketching IJCAI 2018 Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks ICLR 2018 Neural 3D Mesh Renderer CVPR 2018 Neural Architecture Optimization NeurIPS 2018 Neural Architecture Search with Bayesian Optimisation and Optimal Transport NeurIPS 2018 Neural Networks for Predicting Algorithm Runtime Distributions IJCAI 2018 Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions ICML 2018 Neural Networks Trained to Solve Differential Equations Learn General Representations NeurIPS 2018 Neural Ordinary Differential Equations NeurIPS 2018 Neural Ranking Models for Temporal Dependency Structure Parsing EMNLP 2018 Neural Segmental Hypergraphs for Overlapping Mention Recognition EMNLP 2018 Neural Tangent Kernel: Convergence and Generalization in Neural Networks NeurIPS 2018 New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018 New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity NeurIPS 2018 Nightmare at test time: How punctuation prevents parsers from generalizing EMNLP 2018 NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018 Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency EMNLP 2018 Noisin: Unbiased Regularization for Recurrent Neural Networks ICML 2018 Noisy Natural Gradient as Variational Inference ICML 2018 Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018 Non-convex Conditional Gradient Sliding ICML 2018