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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)

Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract) AAAI 2022 Deep Learning in Target Space JMLR 2022 Deep Learning Methods for Proximal Inference via Maximum Moment Restriction NeurIPS 2022 Deep Learning with Logical Constraints IJCAI 2022 Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers ICLR 2022 Deep Limits and a Cut-Off Phenomenon for Neural Networks JMLR 2022 Deeply Tensor Compressed Transformers for End-to-End Object Detection AAAI 2022 DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning NeurIPS 2022 Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons JMLR 2022 Deep Network Approximation in Terms of Intrinsic Parameters ICML 2022 Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry ICML 2022 Deep Neyman-Scott Processes AISTATS 2022 Deep Non-crossing Quantiles through the Partial Derivative AISTATS 2022 Deep Optimization Prior for THz Model Parameter Estimation WACV 2022 Deep Reference Priors: What is the best way to pretrain a model? ICML 2022 Deep ReLU Networks Preserve Expected Length ICLR 2022 Deep residual spiking neural network for keyword spotting in low-resource settings Interspeech 2022 Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm ICML 2022 Deep Spatial Adaptive Network for Real Image Demosaicing AAAI 2022 Deep Stereo Image Compression via Bi-Directional Coding CVPR 2022 Deep Surrogate Assisted Generation of Environments NeurIPS 2022 Deep symbolic regression for recurrence prediction ICML 2022 Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022 Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision AAAI 2022 Delaunay Component Analysis for Evaluation of Data Representations ICLR 2022