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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)

Taming Continuous Posteriors for Latent Variational Dialogue Policies AAAI 2023 Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation CVPR 2023 Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models ICCV 2023 TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023 Target-based Surrogates for Stochastic Optimization ICML 2023 Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives ICLR 2023 Task-aware Adaptive Learning for Cross-domain Few-shot Learning ICCV 2023 Task-aware Distributed Source Coding under Dynamic Bandwidth NeurIPS 2023 Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles RSS 2023 Task-aware world model learning with meta weighting via bi-level optimization NeurIPS 2023 Task-Robust Pre-Training for Worst-Case Downstream Adaptation NeurIPS 2023 TaskWeb: Selecting Better Source Tasks for Multi-task NLP EMNLP 2023 Taylor TD-learning NeurIPS 2023 T-Cal: An Optimal Test for the Calibration of Predictive Models JMLR 2023 TCE: A Test-Based Approach to Measuring Calibration Error UAI 2023 TD Convergence: An Optimization Perspective NeurIPS 2023 TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations ICLR 2023 Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization ICML 2023 TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks EMNLP 2023 Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training NeurIPS 2023 Tempo Adaptation in Non-stationary Reinforcement Learning NeurIPS 2023 Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning CVPR 2023 Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions NeurIPS 2023 Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation ICCV 2023 Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks ICLR 2023