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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
5,854
2000
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Papers (including subtopics)

Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models NeurIPS 2022 Mean Estimation with User-level Privacy under Data Heterogeneity NeurIPS 2022 Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks JMLR 2022 Mean-field nonparametric estimation of interacting particle systems COLT 2022 Measures of Information Reflect Memorization Patterns NeurIPS 2022 Measuring and Reducing Model Update Regression in Structured Prediction for NLP NeurIPS 2022 Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments ICML 2022 Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora EMNLP 2022 Measuring the robustness of Gaussian processes to kernel choice AISTATS 2022 Mechanism Design with Predictions IJCAI 2022 Memformer: A Memory-Augmented Transformer for Sequence Modeling AACL 2022 Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization NeurIPS 2022 Memorize to generalize: on the necessity of interpolation in high dimensional linear regression COLT 2022 Memory-Augmented Deep Conditional Unfolding Network for Pan-Sharpening CVPR 2022 Memory Augmented Optimizers for Deep Learning ICLR 2022 Memory-Efficient Multi-Step Speech Enhancement with Neural ODE Interspeech 2022 Memory-Efficient Training of RNN-Transducer with Sampled Softmax Interspeech 2022 Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild WACV 2022 Message Passing Neural PDE Solvers ICLR 2022 Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions JMLR 2022 Meta Approach to Data Augmentation Optimization WACV 2022 MetaFormer Is Actually What You Need for Vision CVPR 2022 Meta-Learning Fast Weight Language Models EMNLP 2022 Meta-Learning for Online Update of Recommender Systems AAAI 2022 Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022