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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
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Papers (including subtopics)

R-divergence for Estimating Model-oriented Distribution Discrepancy NeurIPS 2023 Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization CVPR 2023 Reachability Analysis-based Safety-Critical Control using Online Fixed-Time Reinforcement Learning L4DC 2023 Reachability Analysis of Neural Network Control Systems AAAI 2023 Reachability-based Trajectory Design with Neural Implicit Safety Constraints RSS 2023 Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path ALT 2023 Reactive Synthesis of Dominant Strategies AAAI 2023 ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing EMNLP 2023 Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference CoRL 2023 Realistic Conversational Question Answering with Answer Selection based on Calibrated Confidence and Uncertainty Measurement EACL 2023 Real-Time 6K Image Rescaling With Rate-Distortion Optimization CVPR 2023 Real-Time Causal Spectro-Temporal Voice Activity Detection Based on Convolutional Encoding and Residual Decoding Interspeech 2023 Real-time variational method for learning neural trajectory and its dynamics ICLR 2023 Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model ACL 2023 Reasoning with Language Model is Planning with World Model EMNLP 2023 Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality ICML 2023 Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023 Re-Basin via Implicit Sinkhorn Differentiation CVPR 2023 REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation CoRL 2023 ReCode: Robustness Evaluation of Code Generation Models ACL 2023 Recognizable Information Bottleneck IJCAI 2023 Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives CVPR 2023 Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning ICLR 2023 Reconstructing Ultrametric Trees from Noisy Experiments ALT 2023 Reconstruction Probing ACL 2023