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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)

Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training ICML 2022 Optimization for Classical Machine Learning Problems on the GPU AAAI 2022 Optimization-Induced Graph Implicit Nonlinear Diffusion ICML 2022 Optimization inspired Multi-Branch Equilibrium Models ICLR 2022 Optimization of Deep Neural Network (DNN) Speech Coder Using a Multi Time Scale Perceptual Loss Function Interspeech 2022 Optimized Potential Initialization for Low-Latency Spiking Neural Networks AAAI 2022 Optimize What You Evaluate With: Search Result Diversification Based on Metric Optimization AAAI 2022 Optimizing Binary Decision Diagrams with MaxSAT for Classification AAAI 2022 Optimizing Data Collection for Machine Learning NeurIPS 2022 Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision Constraint AISTATS 2022 Optimizing Naive Bayes for Arabic Dialect Identification EMNLP 2022 Optimizing Network Provisioning through Cooperation NSDI 2022 Optimizing Neural Networks with Gradient Lexicase Selection ICLR 2022 Optimizing Sequential Experimental Design with Deep Reinforcement Learning ICML 2022 Optimizing Tensor Network Contraction Using Reinforcement Learning ICML 2022 Oracle Complexity in Nonsmooth Nonconvex Optimization JMLR 2022 Oracle-Efficient Online Learning for Smoothed Adversaries NeurIPS 2022 Orbital MCMC AISTATS 2022 Orchestrated Value Mapping for Reinforcement Learning ICLR 2022 Order Constraints in Optimal Transport ICML 2022 Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks MIDL 2022 Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance NAACL 2022 ORION and the Three Rights: Sizing, Bundling, and Prewarming for Serverless DAGs OSDI 2022 Orthogonal Statistical Learning with Self-Concordant Loss COLT 2022 Ortho-Shot: Low Displacement Rank Regularization With Data Augmentation for Few-Shot Learning WACV 2022