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)

Reinforcement Learning in Reward-Mixing MDPs NeurIPS 2021 Reinforcement Learning with Trajectory Feedback AAAI 2021 Relating Adversarially Robust Generalization to Flat Minima ICCV 2021 Relative Deviation Margin Bounds ICML 2021 Relative Flatness and Generalization NeurIPS 2021 Relative stability toward diffeomorphisms indicates performance in deep nets NeurIPS 2021 Relaxed Core Stability in Fractional Hedonic Games IJCAI 2021 Relaxed Marginal Consistency for Differentially Private Query Answering NeurIPS 2021 Relaxing Local Robustness NeurIPS 2021 Relaxing the Conditional Independence Assumption of CTC-Based ASR by Conditioning on Intermediate Predictions Interspeech 2021 RelaySum for Decentralized Deep Learning on Heterogeneous Data NeurIPS 2021 Relevance-CAM: Your Model Already Knows Where To Look CVPR 2021 Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection NeurIPS 2021 Reliable Decisions with Threshold Calibration NeurIPS 2021 Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space NeurIPS 2021 Reliably Fast Adversarial Training via Latent Adversarial Perturbation ICCV 2021 RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding EACL 2021 Remember What You Want to Forget: Algorithms for Machine Unlearning NeurIPS 2021 Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter IJCAI 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021 Replica Exchange for Non-Convex Optimization JMLR 2021 Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance ACL 2021 Representational aspects of depth and conditioning in normalizing flows ICML 2021 Representation Costs of Linear Neural Networks: Analysis and Design NeurIPS 2021 Representation Learning Beyond Linear Prediction Functions NeurIPS 2021