·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
The agentic web is here3h◆Enhancing Sentiment Classification on Small Datasets through Data Augmentation and Transfer Learning8h◆Comparative Evaluation of LLM-Based Review Paradigms for Academic Paper Quality Assessment8h◆BlindToChange: AI Agents Can Find Changes When Asked But Do They Look When Needed?8h◆DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving8h◆KV-Cache Patching: Tracing How and Where Fine-Tuned Behaviors Arise8h◆KEEPER: Learning Control-Sufficient Textual Memory for Long-Horizon LLM Agents8h◆Sparse Text Diffusion under Dual Budgets: Context Connectivity and Expert Activation8h◆Enhancing Knowledge Entity Relation Extraction in Abstracts and Full-text Content of Academic Articles Using Large Language Models8h◆CEFR Level Assessment across Languages and Text Granularities8h◆Digital sovereignty in professional translation workflows: a case study of migrating from Windows to Linux8h◆BYOD: Build Your Own DLM - Efficient Autoregressive-to-Diffusion Language Model Conversion8h◆Saidzoda-Tajik-LFM-2.6B: Adapting a 2.6B Hybrid Model to Tajik Tool Calling, and What Continued Pretraining Takes Away8h◆When Steering Shifts Discourse: Identifying and Intervening on Discourse-Level Changes due to Activation Steering in LLMs8h◆Precision--Recall Trade-off on the Inference Level for LLMs in Grammatical Error Correction8h◆Peeling the Matryoshka: Extracting Ontological Structure from Retrieval Embeddings8h◆Iterated Integrals as Lexical Fingerprints: Path Signature Embeddings for Lexical Similarity8h◆SimXAI: A Simple Drop-in Layer Increases Interaction Quality and Understanding in Conversational XAI8h◆Text as an Index for Zero-Shot Cross-Domain Knowledge Tracing8h◆Aligning MLLMs with the Latent Structure of Human Cognition via Behavior-Derived Semantic Dimensions8h◆The agentic web is here3h◆Enhancing Sentiment Classification on Small Datasets through Data Augmentation and Transfer Learning8h◆Comparative Evaluation of LLM-Based Review Paradigms for Academic Paper Quality Assessment8h◆BlindToChange: AI Agents Can Find Changes When Asked But Do They Look When Needed?8h◆DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving8h◆KV-Cache Patching: Tracing How and Where Fine-Tuned Behaviors Arise8h◆KEEPER: Learning Control-Sufficient Textual Memory for Long-Horizon LLM Agents8h◆Sparse Text Diffusion under Dual Budgets: Context Connectivity and Expert Activation8h◆Enhancing Knowledge Entity Relation Extraction in Abstracts and Full-text Content of Academic Articles Using Large Language Models8h◆CEFR Level Assessment across Languages and Text Granularities8h◆Digital sovereignty in professional translation workflows: a case study of migrating from Windows to Linux8h◆BYOD: Build Your Own DLM - Efficient Autoregressive-to-Diffusion Language Model Conversion8h◆Saidzoda-Tajik-LFM-2.6B: Adapting a 2.6B Hybrid Model to Tajik Tool Calling, and What Continued Pretraining Takes Away8h◆When Steering Shifts Discourse: Identifying and Intervening on Discourse-Level Changes due to Activation Steering in LLMs8h◆Precision--Recall Trade-off on the Inference Level for LLMs in Grammatical Error Correction8h◆Peeling the Matryoshka: Extracting Ontological Structure from Retrieval Embeddings8h◆Iterated Integrals as Lexical Fingerprints: Path Signature Embeddings for Lexical Similarity8h◆SimXAI: A Simple Drop-in Layer Increases Interaction Quality and Understanding in Conversational XAI8h◆Text as an Index for Zero-Shot Cross-Domain Knowledge Tracing8h◆Aligning MLLMs with the Latent Structure of Human Cognition via Behavior-Derived Semantic Dimensions8h◆
News/On k-nearest-neighbor regression in metric spaces
arxiv
PublishedNovember 2, 2026 at 5:00 AM

On k-nearest-neighbor regression in metric spaces

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2610.41896v1 Announce Type: new Abstract: We study mean squared consistency of k-nearest-neighbor regression for metric space valued features. For a fixed feature distribution mu with atomless distance distributions, we describe how neighbor selection redistributes probability through the dens

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivEnhancing Sentiment Classification on Small Datasets through Data Augmentation and Transfer Learning8harxivDAPS: Dependency-Aware Premise Selection for LLM Theorem Proving8harxivCodeLift: Your Test Suite Is Secretly a Dense SWE Curriculum8harxivCumulative Marginal Matching for One-Step Diffusion8h
The Bubble Brief
MON · WED · FRI

Read AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

// no spam · unsubscribe one-click · free forever

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews