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)

Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography CVPR 2023 Physics-Informed Bayesian Optimization of Variational Quantum Circuits NeurIPS 2023 Physics-Informed Model-Based Reinforcement Learning L4DC 2023 PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification NeurIPS 2023 Piecewise Deterministic Markov Processes for Bayesian Neural Networks UAI 2023 Piecewise Stationary Bandits under Risk Criteria AISTATS 2023 PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching EMNLP 2023 Pitch distributions in a very large corpus of spontaneous Finnish speech Interspeech 2023 Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion NeurIPS 2023 Pitfalls of Gaussians as a noise distribution in NCE ICLR 2023 Pivotal Estimation of Linear Discriminant Analysis in High Dimensions JMLR 2023 PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers AAAI 2023 Pixel-Wise Warping for Deep Image Stitching AAAI 2023 Planning with Hidden Parameter Polynomial MDPs AAAI 2023 PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning NeurIPS 2023 Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks ICLR 2023 Plateau-Reduced Differentiable Path Tracing CVPR 2023 Plausible Uncertainties for Human Pose Regression ICCV 2023 PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation CVPR 2023 PLOT: Prompt Learning with Optimal Transport for Vision-Language Models ICLR 2023 “Plus/minus the learning rate”: Easy and Scalable Statistical Inference with SGD AISTATS 2023 Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport ICCV 2023 Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023 Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs EMNLP 2023 Pointwise sampling uncertainties on the Precision-Recall curve AISTATS 2023