Image de couverture de livre

Adaptive Sentencing Prediction with Guaranteed Accuracy and Legal Interpretability

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jin, Yifei, Zheng, Xin, Guo, Lei
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Momentum LMS Theory beyond Stationarity: Stability, Tracking, and Regret
par: Jin, Yifei, et autres
Publié: (2026)

Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
par: Chen, George H.
Publié: (2022)

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
par: Zou, Xin, et autres
Publié: (2024)

AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model Representations
par: Yao, Yifei, et autres
Publié: (2025)

Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings
par: Liu, Junlong, et autres
Publié: (2024)

Computational Sentence-level Metrics Predicting Human Sentence Comprehension
par: Sun, Kun, et autres
Publié: (2024)

Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees
par: Park, Sangwoo, et autres
Publié: (2025)

Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory
par: Shu, Hao, et autres
Publié: (2025)

Proactive Routing to Interpretable Surrogates with Distribution-Free Safety Guarantees
par: Uddin, Iqtedar, et autres
Publié: (2026)

Physics-Inspired Binary Neural Networks: Interpretable Compression with Theoretical Guarantees
par: Eamaz, Arian, et autres
Publié: (2025)

Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning
par: Bertsimas, Dimitris, et autres
Publié: (2024)

Bridging the Compression-Precision Paradox: A Hybrid Architecture for Clinical EEG Report Generation with Guaranteed Measurement Accuracy
par: Zhang, Wuyang, et autres
Publié: (2026)

Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees
par: Shirzadi, Mohammad, et autres
Publié: (2025)

Can Interpretability Layouts Influence Human Perception of Offensive Sentences?
par: Santos, Thiago Freitas dos, et autres
Publié: (2024)

Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
par: Yu, Xin, et autres
Publié: (2024)

Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability
par: Zheng, Mingyi, et autres
Publié: (2025)

GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences
par: Yan, Jingquan, et autres
Publié: (2025)

Cooperative Backdoor Attack in Decentralized Reinforcement Learning with Theoretical Guarantee
par: Gao, Mengtong, et autres
Publié: (2024)

Conformal Prediction for Indoor Positioning with Correctness Coverage Guarantees
par: Zhou, Zhiyi, et autres
Publié: (2025)

Distributional Offline Policy Evaluation with Predictive Error Guarantees
par: Wu, Runzhe, et autres
Publié: (2023)

Guaranteed Coverage Prediction Intervals with Gaussian Process Regression
par: Papadopoulos, Harris
Publié: (2023)

Coverage-Guaranteed Speech Emotion Recognition via Calibrated Uncertainty-Adaptive Prediction Sets
par: Jia, Zijun, et autres
Publié: (2025)

Formal Mechanistic Interpretability: Automated Circuit Discovery with Provable Guarantees
par: Hadad, Itamar, et autres
Publié: (2026)

KACDP: A Highly Interpretable Credit Default Prediction Model
par: Liu, Kun, et autres
Publié: (2024)

Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves
par: Lovo, Alessandro, et autres
Publié: (2024)

Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation
par: Guo, Jinjiang, et autres
Publié: (2022)

Predictive Accuracy versus Interpretability in Energy Markets: A Copula-Enhanced TVP-SVAR Analysis
par: Pokou, Fredy, et autres
Publié: (2026)

Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
par: Zhang, Qi, et autres
Publié: (2024)

Interpretable Dual-Stream Learning for Local Wind Hazard Prediction in Vulnerable Communities
par: Nishu, Mahmuda Akhter, et autres
Publié: (2025)

Subject-Adaptive Sparse Linear Models for Interpretable Personalized Health Prediction from Multimodal Lifelog Data
par: Bu, Dohyun, et autres
Publié: (2025)

Directly Handling Missing Data in Linear Discriminant Analysis for Enhancing Classification Accuracy and Interpretability
par: Vo, Tuan L., et autres
Publié: (2024)

GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps
par: Yang, Yifei, et autres
Publié: (2023)

Weak-to-Strong Generalization beyond Accuracy: a Pilot Study in Safety, Toxicity, and Legal Reasoning
par: Ye, Ruimeng, et autres
Publié: (2024)

Stronger Neyman Regret Guarantees for Adaptive Experimental Design
par: Noarov, Georgy, et autres
Publié: (2025)

Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation
par: Meng, Fanyu, et autres
Publié: (2024)

Stable GFlowNets with Probabilistic Guarantees
par: Lei, Zengxiang, et autres
Publié: (2026)

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees
par: Jin, Richeng, et autres
Publié: (2020)

AdaDetectGPT: Adaptive Detection of LLM-Generated Text with Statistical Guarantees
par: Zhou, Hongyi, et autres
Publié: (2025)

CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series
par: Lan, Tian, et autres
Publié: (2025)

An Adaptive Machine Learning Triage Framework for Predicting Alzheimer's Disease Progression
par: Hou, Richard, et autres
Publié: (2025)