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)

Dynamic visualization for L1 fusion convex clustering in near-linear time UAI 2021 Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language NeurIPS 2021 Dynamic Weighted Learning for Unsupervised Domain Adaptation CVPR 2021 DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation ICLR 2021 EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets ACL 2021 Early-stopped neural networks are consistent NeurIPS 2021 Early Stopping in Deep Networks: Double Descent and How to Eliminate it ICLR 2021 EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition AAAI 2021 EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS ICCV 2021 ECONOMIC HYPERPARAMETER OPTIMIZATION WITH BLENDED SEARCH STRATEGY ICLR 2021 Edit Distance Based Curriculum Learning for Paraphrase Generation ACL 2021 Editing Factual Knowledge in Language Models EMNLP 2021 Educational Question Mining At Scale: Prediction, Analysis and Personalization AAAI 2021 EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback NeurIPS 2021 Effective and Efficient Vote Attack on Capsule Networks ICLR 2021 Effective Distributed Learning with Random Features: Improved Bounds and Algorithms ICLR 2021 Effective Meta-Regularization by Kernelized Proximal Regularization NeurIPS 2021 Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021 Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent EMNLP 2021 Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations NeurIPS 2021 Efficient Algorithms for Stochastic Repeated Second-price Auctions ALT 2021 Efficient and Accurate Gradients for Neural SDEs NeurIPS 2021 Efficient Bandit Convex Optimization: Beyond Linear Losses COLT 2021 Efficient Bayesian network structure learning via local Markov boundary search NeurIPS 2021 Efficient Certification of Spatial Robustness AAAI 2021