Saved in:
| Main Author: | Khushiyant |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.18546 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
metabeta -- A fast neural model for Bayesian mixed-effects regression
by: Kipnis, Alex, et al.
Published: (2025)
by: Kipnis, Alex, et al.
Published: (2025)
From Tail Universality to Bernstein-von Mises: A Unified Statistical Theory of Semi-Implicit Variational Inference
by: Plummer, Sean
Published: (2025)
by: Plummer, Sean
Published: (2025)
The Unified Non-Convex Framework for Robust Causal Inference: Overcoming the Gaussian Barrier and Optimization Fragility
by: Uehara, Eichi
Published: (2025)
by: Uehara, Eichi
Published: (2025)
Machine Collaboration
by: Liu, Qingfeng, et al.
Published: (2021)
by: Liu, Qingfeng, et al.
Published: (2021)
Foresight Arena: An On-Chain Benchmark for Evaluating AI Forecasting Agents
by: Nechepurenko, Maksym, et al.
Published: (2026)
by: Nechepurenko, Maksym, et al.
Published: (2026)
A learning problem whose consistency is equivalent to the non-existence of real-valued measurable cardinals
by: Pestov, Vladimir G.
Published: (2020)
by: Pestov, Vladimir G.
Published: (2020)
Can Large Language Models Revolutionize Survey Research? Experiments with Disaster Preparedness Responses
by: Wang, Yan, et al.
Published: (2026)
by: Wang, Yan, et al.
Published: (2026)
AI Literacy and LLM Engagement in Higher Education: A Cross-National Quantitative Study
by: Hossain, Shahin, et al.
Published: (2025)
by: Hossain, Shahin, et al.
Published: (2025)
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems
by: MacKinlay, Dan, et al.
Published: (2024)
by: MacKinlay, Dan, et al.
Published: (2024)
Revisiting Unbiased Implicit Variational Inference
by: Pielok, Tobias, et al.
Published: (2025)
by: Pielok, Tobias, et al.
Published: (2025)
Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
by: Wibbeke, Jelke, et al.
Published: (2025)
by: Wibbeke, Jelke, et al.
Published: (2025)
Intelligence Without Integrity: Why Capable LLMs May Undermine Reliability
by: Allen, Ryan, et al.
Published: (2026)
by: Allen, Ryan, et al.
Published: (2026)
SCOPE: Selective Conformal Optimized Pairwise LLM Judging
by: Badshah, Sher, et al.
Published: (2026)
by: Badshah, Sher, et al.
Published: (2026)
Amortized Variational Inference for Logistic Regression with Missing Covariates
by: Cherifi, M., et al.
Published: (2026)
by: Cherifi, M., et al.
Published: (2026)
Towards a data-scale independent regulariser for robust sparse identification of non-linear dynamics
by: Raut, Jay, et al.
Published: (2026)
by: Raut, Jay, et al.
Published: (2026)
The Price of Progress: Price Performance and the Future of AI
by: Gundlach, Hans, et al.
Published: (2025)
by: Gundlach, Hans, et al.
Published: (2025)
Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
by: Høyheim, Eirik, et al.
Published: (2025)
by: Høyheim, Eirik, et al.
Published: (2025)
Bayesian Generalized Nonlinear Models Offer Basis Free SINDy With Model Uncertainty
by: Hubin, Aliaksandr
Published: (2025)
by: Hubin, Aliaksandr
Published: (2025)
FBMS: An R Package for Flexible Bayesian Model Selection and Model Averaging
by: Frommlet, Florian, et al.
Published: (2025)
by: Frommlet, Florian, et al.
Published: (2025)
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent
by: Pielok, Tobias, et al.
Published: (2025)
by: Pielok, Tobias, et al.
Published: (2025)
The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity
by: Caraker, Drake, et al.
Published: (2026)
by: Caraker, Drake, et al.
Published: (2026)
Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Tests
by: Kothe, Christian A., et al.
Published: (2026)
by: Kothe, Christian A., et al.
Published: (2026)
ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)
by: Harfi, Sepehr, et al.
Published: (2026)
Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
by: Benitez, Edgar, et al.
Published: (2024)
by: Benitez, Edgar, et al.
Published: (2024)
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport
by: Fernández-Godino, M. Giselle, et al.
Published: (2024)
by: Fernández-Godino, M. Giselle, et al.
Published: (2024)
Bayesian Knowledge Transfer for a Kalman Fixed-Lag Interval Smoother
by: Skalský, Ondřej, et al.
Published: (2025)
by: Skalský, Ondřej, et al.
Published: (2025)
Beyond Least Squares: Robust Regression Transformer (R2T)
by: Gutierrez, Roman, et al.
Published: (2025)
by: Gutierrez, Roman, et al.
Published: (2025)
Budget-Sensitive Discovery Scoring: A Formally Verified Framework for Evaluating AI-Guided Scientific Selection
by: Basu, Abhinaba, et al.
Published: (2026)
by: Basu, Abhinaba, et al.
Published: (2026)
Information Routing in Atomistic Foundation Models: How Task Alignment and Equivariance Shape Linear Disentanglement
by: Steier, Joshua
Published: (2026)
by: Steier, Joshua
Published: (2026)
When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression
by: Kurbucz, Marcell T.
Published: (2026)
by: Kurbucz, Marcell T.
Published: (2026)
From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
by: Chen, Xia, et al.
Published: (2025)
by: Chen, Xia, et al.
Published: (2025)
Asymptotic Consistency and Generalization in Hybrid Models of Regularized Selection and Nonlinear Learning
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)
A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data
by: Bosso, Matteo, et al.
Published: (2026)
by: Bosso, Matteo, et al.
Published: (2026)
Echo State Networks as State-Space Models: A Systems Perspective
by: Singh, Pradeep, et al.
Published: (2025)
by: Singh, Pradeep, et al.
Published: (2025)
Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
by: Du, Jin, et al.
Published: (2025)
by: Du, Jin, et al.
Published: (2025)
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation
by: Su, Houcheng, et al.
Published: (2024)
by: Su, Houcheng, et al.
Published: (2024)
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
by: Wang, Mengzhu, et al.
Published: (2024)
by: Wang, Mengzhu, et al.
Published: (2024)
DiM: $f$-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation
by: Wang, Bingli, et al.
Published: (2024)
by: Wang, Bingli, et al.
Published: (2024)
Topological Data Analysis for Neural Network Analysis: A Comprehensive Survey
by: Ballester, Rubén, et al.
Published: (2023)
by: Ballester, Rubén, et al.
Published: (2023)
Similar Items
-
Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
by: Galvão, Luciano Ribeiro, et al.
Published: (2025) -
metabeta -- A fast neural model for Bayesian mixed-effects regression
by: Kipnis, Alex, et al.
Published: (2025) -
From Tail Universality to Bernstein-von Mises: A Unified Statistical Theory of Semi-Implicit Variational Inference
by: Plummer, Sean
Published: (2025) -
The Unified Non-Convex Framework for Robust Causal Inference: Overcoming the Gaussian Barrier and Optimization Fragility
by: Uehara, Eichi
Published: (2025) -
Machine Collaboration
by: Liu, Qingfeng, et al.
Published: (2021)