Research map / Learning theory and algorithms / Prediction and decision losses
Inference of Online Newton Methods with Nesterov's Accelerated Sketching
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling (AAAI 2022 · similarity 0.87)
- Newton-Type Methods for Inference in Higher-Order Markov Random Fields (CVPR 2017 · similarity 0.87)
- Online Algorithms with Uncertainty-Quantified Predictions (ICML 2024 · similarity 0.86)
- Online Bernstein-von Mises theorem (NeurIPS 2026 · similarity 0.85)
- Online Localized Conformal Prediction (NeurIPS 2026 · similarity 0.85)
- From Average Sensitivity to Small-Loss Regret Bounds under Random-Order Model (NeurIPS 2026 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.