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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)

UATVR: Uncertainty-Adaptive Text-Video Retrieval ICCV 2023 U-Calibration: Forecasting for an Unknown Agent COLT 2023 UHDNeRF: Ultra-High-Definition Neural Radiance Fields ICCV 2023 ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision EMNLP 2023 Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees AISTATS 2023 UL & UM6P at ArAIEval Shared Task: Transformer-based model for Persuasion Techniques and Disinformation detection in Arabic EMNLP 2023 UMat: Uncertainty-Aware Single Image High Resolution Material Capture CVPR 2023 Unbalanced CO-optimal Transport AAAI 2023 Unbalanced Low-rank Optimal Transport Solvers NeurIPS 2023 Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NeurIPS 2023 Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo NeurIPS 2023 Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance IJCAI 2023 Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023 Unbiased Risk Estimator to Multi-Labeled Complementary Label Learning IJCAI 2023 Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States ICLR 2023 Uncertain Evidence in Probabilistic Models and Stochastic Simulators ICML 2023 Uncertainty-Aware Image Captioning AAAI 2023 Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection CVPR 2023 Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding EMNLP 2023 Uncertainty-Aware Self-Training for Low-Resource Neural Sequence Labeling AAAI 2023 Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction ACL 2023 Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization NeurIPS 2023 Uncertainty Quantification over Graph with Conformalized Graph Neural Networks NeurIPS 2023 Uncertainty Quantification via Neural Posterior Principal Components NeurIPS 2023 Unconstrained Dynamic Regret via Sparse Coding NeurIPS 2023