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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
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828
3,646
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2000
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Papers (including subtopics)

Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee AAAI 2021 Multi-output Gaussian Processes for uncertainty-aware recommender systems UAI 2021 Multiplayer Bandit Learning, from Competition to Cooperation COLT 2021 Multiple Descent: Design Your Own Generalization Curve NeurIPS 2021 Multiple Sound Source Localization Based on Interchannel Phase Differences in All Frequencies with Spectral Masks Interspeech 2021 Multiplicative Noise and Heavy Tails in Stochastic Optimization ICML 2021 Multi-Proxy Wasserstein Classifier for Image Classification AAAI 2021 Multi-Receiver Online Bayesian Persuasion ICML 2021 Multi-resolution modeling of a discrete stochastic process identifies causes of cancer ICLR 2021 Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference ICML 2021 Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising IJCAI 2021 Multispectral Illumination Estimation Using Deep Unrolling Network ICCV 2021 Multi-split Reversible Transformers Can Enhance Neural Machine Translation EACL 2021 Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NeurIPS 2021 MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations AAAI 2021 Multitask Bandit Learning Through Heterogeneous Feedback Aggregation AISTATS 2021 Multi-timescale Representation Learning in LSTM Language Models ICLR 2021 Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis JMLR 2021 Multiwavelet-based Operator Learning for Differential Equations NeurIPS 2021 Mutual Supervision for Dense Object Detection ICCV 2021 Narrow Margins: Classification, Margins and Fat Tails ICML 2021 NAS-Bench-x11 and the Power of Learning Curves NeurIPS 2021 NASGEM: Neural Architecture Search via Graph Embedding Method AAAI 2021 NAS-HPO-Bench-II: A Benchmark Dataset on Joint Optimization of Convolutional Neural Network Architecture and Training Hyperparameters ACML 2021 NASOA: Towards Faster Task-Oriented Online Fine-Tuning With a Zoo of Models ICCV 2021