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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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2000
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Papers (including subtopics)

How does the pre-training objective affect what large language models learn about linguistic properties? ACL 2022 How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection AACL 2022 How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models ICML 2022 How Good Are Low-Rank Approximations in Gaussian Process Regression? AAAI 2022 How Low Can We Go: Trading Memory for Error in Low-Precision Training ICLR 2022 How many degrees of freedom do we need to train deep networks: a loss landscape perspective ICLR 2022 How Many Representatives Do We Need? The Optimal Size of a Congress Voting on Binary Issues AAAI 2022 How Much More Data Do I Need? Estimating Requirements for Downstream Tasks CVPR 2022 How Powerful are K-hop Message Passing Graph Neural Networks NeurIPS 2022 How Powerful are Spectral Graph Neural Networks ICML 2022 How Sampling Impacts the Robustness of Stochastic Neural Networks NeurIPS 2022 How Tempering Fixes Data Augmentation in Bayesian Neural Networks ICML 2022 How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity ICML 2022 How to Learn when Data Gradually Reacts to Your Model AISTATS 2022 How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective ICLR 2022 How to scale hyperparameters for quickshift image segmentation AISTATS 2022 How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective ICML 2022 How (Un)Faithful is Attention? EMNLP 2022 How Universal is Metonymy? Results from a Large-Scale Multilingual Analysis NAACL 2022 How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis ICLR 2022 Huber Additive Models for Non-stationary Time Series Analysis ICLR 2022 Human-AI Collaborative Bayesian Optimisation NeurIPS 2022 Human-in-the-loop Speaker Adaptation for DNN-based Multi-speaker TTS Interspeech 2022 Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer ACL 2022 Hybrid Local SGD for Federated Learning with Heterogeneous Communications ICLR 2022