Cover Image

Prior Distribution and Model Confidence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kazanskii, Maksim, Kasianov, Artem
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DR-SNE: Density-Regularized Stochastic Neighbor Embedding
by: Kazanskii, Maksim
Published: (2026)

Space-Clock Elevator: Multi-Stage Orbital Transport via Rotating Tethers and Elliptical Nodes
by: Kazanskii, Maksim A
Published: (2026)

Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning
by: Mao, Zhenjiang, et al.
Published: (2026)

Can a Confident Prior Replace a Cold Posterior?
by: Marek, Martin, et al.
Published: (2024)

GraphPFN: A Prior-Data Fitted Graph Foundation Model
by: Eremeev, Dmitry, et al.
Published: (2025)

Believe Your Model: Distribution-Guided Confidence Calibration
by: Yang, Xizhong, et al.
Published: (2026)

Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
by: Dong, Jinzong, et al.
Published: (2024)

Attraction, Repulsion, and Friction: Introducing DMF, a Friction-Augmented Drifting Model
by: Kazanskii, Arkadii, et al.
Published: (2026)

BindGPT: A Scalable Framework for 3D Molecular Design via Language Modeling and Reinforcement Learning
by: Zholus, Artem, et al.
Published: (2024)

Structured Diffusion Models with Mixture of Gaussians as Prior Distribution
by: Jia, Nanshan, et al.
Published: (2024)

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic
by: Mao, Zhenjiang, et al.
Published: (2025)

Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
by: Grotov, Konstantin, et al.
Published: (2024)

Topic Modelling Black Box Optimization
by: Akramov, Roman, et al.
Published: (2025)

FastWave: Optimized Diffusion Model for Audio Super-Resolution
by: Kuznetsov, Nikita, et al.
Published: (2026)

JetTrain: IDE-Native Machine Learning Experiments
by: Trofimov, Artem, et al.
Published: (2024)

Robust Validation: Confident Predictions Even When Distributions Shift
by: Cauchois, Maxime, et al.
Published: (2020)

Benford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models
by: Negrão, Arthur, et al.
Published: (2026)

InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference
by: Cui, Tianyu, et al.
Published: (2025)

A Multimodal Conditional Mixture Model with Distribution-Level Physics Priors
by: Han, Jinkyo, et al.
Published: (2026)

Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport
by: Wang, Zhanpeng, et al.
Published: (2024)

Bi-directional Model Cascading with Proxy Confidence
by: Warren, David, et al.
Published: (2025)

CATTO: Balancing Preferences and Confidence in Language Models
by: Parikh, Nisarg, et al.
Published: (2026)

Confidence-Aware Multi-Field Model Calibration
by: Zhao, Yuang, et al.
Published: (2024)

From the Inside Out: Progressive Distribution Refinement for Confidence Calibration
by: Yang, Xizhong, et al.
Published: (2026)

SLIME: Stabilized Likelihood Implicit Margin Enforcement for Preference Optimization
by: Afanasyev, Maksim, et al.
Published: (2026)

Speed is Confidence
by: Dillon, Joshua V.
Published: (2026)

Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning
by: Arie, Asaf Ben, et al.
Published: (2024)

Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling
by: Szarvas, Bálint László, et al.
Published: (2025)

Abacus: Self-Supervised Event Counting-Aligned Distributional Pretraining for Sequential User Modeling
by: Castro, Sullivan, et al.
Published: (2025)

Multi-Layer Confidence Scoring for Detection of Out-of-Distribution Samples, Adversarial Attacks, and In-Distribution Misclassifications
by: Capelli, Lorenzo, et al.
Published: (2025)

Gatekeeper: Improving Model Cascades Through Confidence Tuning
by: Rabanser, Stephan, et al.
Published: (2025)

Differentially Private Nonparametric Confidence Intervals Under Minimal Distributional Assumptions
by: Shoham, Tomer, et al.
Published: (2025)

From Distributional Robustness to Robust Statistics: A Confidence Sets Perspective
by: Chan, Gabriel, et al.
Published: (2024)

Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation
by: Whittle, George, et al.
Published: (2025)

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors
by: Han, Zhiwei, et al.
Published: (2025)

Confidence Calibration in Vision-Language-Action Models
by: Zollo, Thomas P, et al.
Published: (2025)

Memory Crash
by: Kasianov, Georgiy
Published: (2022)

Deep Think with Confidence
by: Fu, Yichao, et al.
Published: (2025)

Learning Confident Classifiers in the Presence of Label Noise
by: Hashmi, Asma Ahmed, et al.
Published: (2023)

Confidence in the Reasoning of Large Language Models
by: Pawitan, Yudi, et al.
Published: (2024)