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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Double Sampling Randomized Smoothing ICML 2022 Double Spike Dirichlet Priors for Structured Weighting JMLR 2022 Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information ICLR 2022 Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions NeurIPS 2022 Doubly Mixed-Effects Gaussian Process Regression AISTATS 2022 Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning ICML 2022 Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022 Do We Need Anisotropic Graph Neural Networks? ICLR 2022 DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps NeurIPS 2022 DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy AAAI 2022 DP-PCA: Statistically Optimal and Differentially Private PCA NeurIPS 2022 DPSampler: Exact Weighted Sampling Using Dynamic Programming IJCAI 2022 DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework IJCAI 2022 DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks ICML 2022 DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing NeurIPS 2022 DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals ICLR 2022 Dropout as a Regularizer of Interaction Effects AISTATS 2022 Dual-Shutter Optical Vibration Sensing CVPR 2022 Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo CVPR 2022 DuoAI: Fast, Automated Inference of Inductive Invariants for Verifying Distributed Protocols OSDI 2022 Dynamic Bandits with Temporal Structure IJCAI 2022 Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization WACV 2022 Dynamic Fair Division with Partial Information NeurIPS 2022 Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule ACML 2022 Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention IJCAI 2022