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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023 Ridges, Neural Networks, and the Radon Transform JMLR 2023 Riemannian Laplace approximations for Bayesian neural networks NeurIPS 2023 Riemannian Metric Learning via Optimal Transport ICLR 2023 Riemannian Projection-free Online Learning NeurIPS 2023 Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds NeurIPS 2023 Riemannian stochastic optimization methods avoid strict saddle points NeurIPS 2023 RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer CVPR 2023 Rigorously Assessing Natural Language Explanations of Neurons EMNLP 2023 Risk-aware linear bandits with convex loss AISTATS 2023 Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation ICLR 2023 Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption JMLR 2023 Risk Bounds on Aleatoric Uncertainty Recovery AISTATS 2023 RLEKF: An Optimizer for Deep Potential with Ab Initio Accuracy AAAI 2023 RLSAC: Reinforcement Learning Enhanced Sample Consensus for End-to-End Robust Estimation ICCV 2023 RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch ICLR 2023 RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases CVPR 2023 RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks ICCV 2023 RNAS-MER: A Refined Neural Architecture Search With Hybrid Spatiotemporal Operations for Micro-Expression Recognition WACV 2023 Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners CoRL 2023 Robust Algorithms on Adaptive Inputs from Bounded Adversaries ICLR 2023 Robust and Actively Secure Serverless Collaborative Learning NeurIPS 2023 Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023 Robust and Agnostic Learning of Conditional Distributional Treatment Effects AISTATS 2023 Robust and Efficient Alignment of Calcium Imaging Data Through Simultaneous Low Rank and Sparse Decomposition WACV 2023