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)

Deep High-Resolution Representation Learning for Human Pose Estimation CVPR 2019 Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning ICLR 2019 Deep learning generalizes because the parameter-function map is biased towards simple functions ICLR 2019 Deep Learning without Weight Transport NeurIPS 2019 Deeply-Supervised Knowledge Synergy CVPR 2019 DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019 DeepMellow: Removing the Need for a Target Network in Deep Q-Learning IJCAI 2019 Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm IJCAI 2019 Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces NeurIPS 2019 Deep Neural Networks Learn Non-Smooth Functions Effectively AISTATS 2019 Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex AISTATS 2019 DeepOBS: A Deep Learning Optimizer Benchmark Suite ICLR 2019 Deep Optimal Stopping JMLR 2019 Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels CVPR 2019 Deep Random Splines for Point Process Intensity Estimation of Neural Population Data NeurIPS 2019 DeepRec: An Open-source Toolkit for Deep Learning based Recommendation IJCAI 2019 Deep Reinforcement Learning via Past-Success Directed Exploration AAAI 2019 Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization EMNLP 2019 Deep ReLU Networks Have Surprisingly Few Activation Patterns NeurIPS 2019 Deep RNN Framework for Visual Sequential Applications CVPR 2019 Deep Scale-spaces: Equivariance Over Scale NeurIPS 2019 Deep Single Image Camera Calibration With Radial Distortion CVPR 2019 Deep, Skinny Neural Networks are not Universal Approximators ICLR 2019 Deep Speaker Embedding Extraction with Channel-Wise Feature Responses and Additive Supervision Softmax Loss Function Interspeech 2019 Deep Spectral Kernel Learning IJCAI 2019