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)

Data Augmentation for Text Generation Without Any Augmented Data ACL 2021 Data-Driven Controller Design via Finite-Horizon Dissipativity L4DC 2021 Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling IJCAI 2021 Data-Driven Multimodal Patrol Planning for Anti-poaching AAAI 2021 Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps ICML 2021 Data-Driven Reachability Analysis Using Matrix Zonotopes L4DC 2021 Data driven semi-supervised learning NeurIPS 2021 Data-Efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions WACV 2021 Dataset Condensation with Gradient Matching ICLR 2021 Dataset Distillation with Infinitely Wide Convolutional Networks NeurIPS 2021 Dataset Dynamics via Gradient Flows in Probability Space ICML 2021 Dataset Meta-Learning from Kernel Ridge-Regression ICLR 2021 Data Sharing and Compression for Cooperative Networked Control NeurIPS 2021 DC3: A learning method for optimization with hard constraints ICLR 2021 DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation CVPR 2021 DDPNOpt: Differential Dynamic Programming Neural Optimizer ICLR 2021 Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification NeurIPS 2021 Debiasing a First-order Heuristic for Approximate Bi-level Optimization ICML 2021 Debiasing Evaluations That Are Biased by Evaluations AAAI 2021 Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021 DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training ICCV 2021 Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification AAAI 2021 Decentralized Learning in Online Queuing Systems NeurIPS 2021 Decentralized Multi-Agent Linear Bandits with Safety Constraints AAAI 2021 Decentralized Riemannian Gradient Descent on the Stiefel Manifold ICML 2021