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)

Unbiased Math Word Problems Benchmark for Mitigating Solving Bias NAACL 2022 Uncalibrated Models Can Improve Human-AI Collaboration NeurIPS 2022 Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection COLING 2022 Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NeurIPS 2022 Uncertainty Calibration for Deep Audio Classifiers Interspeech 2022 Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models ACL 2022 Uncertainty-Driven Dehazing Network AAAI 2022 Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation AAAI 2022 Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition CVPR 2022 Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration WACV 2022 Uncertainty Modeling for Out-of-Distribution Generalization ICLR 2022 Uncertainty Modeling in Generative Compressed Sensing ICML 2022 Uncertainty Quantification for Bayesian Optimization AISTATS 2022 Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise AISTATS 2022 Uncertainty Regularized Multi-Task Learning ACL 2022 Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games NeurIPS 2022 Under-bagging Nearest Neighbors for Imbalanced Classification JMLR 2022 UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees ICML 2022 Underspecification Presents Challenges for Credibility in Modern Machine Learning JMLR 2022 Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries NeurIPS 2022 Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training CVPR 2022 Understanding and Leveraging Overparameterization in Recursive Value Estimation ICLR 2022 Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach IJCAI 2022 Understanding and mitigating the limitations of prioritized experience replay UAI 2022 Understanding and Preventing Capacity Loss in Reinforcement Learning ICLR 2022