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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)

Unifying Nesterov’s Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions ICML 2023 Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks CVPR 2023 Uniqueness of BP fixed point for the Potts model and applications to community detection COLT 2023 Unit Scaling: Out-of-the-Box Low-Precision Training ICML 2023 UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition NeurIPS 2023 Universal Adaptive Data Augmentation IJCAI 2023 Universal Deep Image Compression via Content-Adaptive Optimization With Adapters WACV 2023 Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NeurIPS 2023 Universality and Limitations of Prompt Tuning NeurIPS 2023 Universality laws for Gaussian mixtures in generalized linear models NeurIPS 2023 Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023 Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach NeurIPS 2023 Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data ICML 2023 Universal Rates for Multiclass Learning COLT 2023 Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023 Unleashing the Potential of Spiking Neural Networks with Dynamic Confidence ICCV 2023 Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS ICCV 2023 Unleashing the Power of Randomization in Auditing Differentially Private ML NeurIPS 2023 Unlocking Deterministic Robustness Certification on ImageNet NeurIPS 2023 Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization NeurIPS 2023 Unlocking the Heterogeneous Landscape of Big Data NLP with DUUI EMNLP 2023 Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? ICLR 2023 Unraveling Feature Extraction Mechanisms in Neural Networks EMNLP 2023 Unscented Autoencoder ICML 2023 UnSE: Unsupervised Speech Enhancement Using Optimal Transport Interspeech 2023