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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)

Physics Informed Deep Kernel Learning AISTATS 2022 Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data IJCAI 2022 Pick-and-Mix Information Operators for Probabilistic ODE Solvers AISTATS 2022 Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters IJCAI 2022 PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning SemEval 2022 PInKS: Preconditioned Commonsense Inference with Minimal Supervision AACL 2022 PISA: PoIncaré Saliency-Aware Interpolative Augmentation Interspeech 2022 Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NeurIPS 2022 Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models ICLR 2022 Pixel Screening Based Intermediate Correction for Blind Deblurring CVPR 2022 Pizza Sharing Is PPA-Hard AAAI 2022 Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction NeurIPS 2022 PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022 Platt-Bin: Efficient Posterior Calibrated Training for NLP Classifiers ACL 2022 Playing Lottery Tickets with Vision and Language AAAI 2022 Plenoxels: Radiance Fields Without Neural Networks CVPR 2022 Plurality Veto: A Simple Voting Rule Achieving Optimal Metric Distortion IJCAI 2022 PMAL: Open Set Recognition via Robust Prototype Mining AAAI 2022 PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction CVPR 2022 POEM: Out-of-Distribution Detection with Posterior Sampling ICML 2022 POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging ICML 2022 PoF: Post-Training of Feature Extractor for Improving Generalization ICML 2022 PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies NeurIPS 2022 Poisson Flow Generative Models NeurIPS 2022 PokeBNN: A Binary Pursuit of Lightweight Accuracy CVPR 2022