:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Ningfeng, Aamodt, Tor M.
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.01599
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving the Straight-Through Estimator with Zeroth-Order Information
by: Yang, Ningfeng, et al.
Published: (2025)

ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering
by: Liu, Lufei, et al.
Published: (2025)

A Lyapunov Analysis of Softmax Policy Gradient for Stochastic Bandits
by: Lattimore, Tor
Published: (2026)

Forget by Uncertainty: Orthogonal Entropy Unlearning for Quantized Neural Networks
by: Zhang, Tian, et al.
Published: (2026)

Refined Detection for Gumbel Watermarking
by: Lattimore, Tor
Published: (2026)

Bandit Convex Optimisation
by: Lattimore, Tor
Published: (2024)

Entropy Regularizing Activation: Boosting Continuous Control, Large Language Models, and Image Classification with Activation as Entropy Constraints
by: Kang, Zilin, et al.
Published: (2025)

Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding
by: Conzelmann, Alexander, et al.
Published: (2025)

Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
by: Xu, Ran, et al.
Published: (2025)

Boost Post-Training Quantization via Null Space Optimization for Large Language Models
by: Zhao, Jiaqi, et al.
Published: (2025)

ARCQuant: Boosting NVFP4 Quantization with Augmented Residual Channels for LLMs
by: Meng, Haoqian, et al.
Published: (2026)

Gaussian Rate-Distortion-Perception Coding and Entropy-Constrained Scalar Quantization
by: Xie, Li, et al.
Published: (2024)

A Diffusion Analysis of Policy Gradient for Stochastic Bandits
by: Lattimore, Tor
Published: (2026)

Optimizing Learned Image Compression on Scalar and Entropy-Constraint Quantization
by: Borzechowski, Florian, et al.
Published: (2025)

Universality of Layer-Level Entropy-Weighted Quantization Beyond Model Architecture and Size
by: Behtash, Alireza, et al.
Published: (2025)

Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation
by: Zheng, Bowen, et al.
Published: (2026)

Graph-based identification of qubit network (GidNET) for qubit reuse
by: Uchehara, Gideon, et al.
Published: (2024)

DBellQuant: Breaking the Bell with Double-Bell Transformation for LLMs Post Training Binarization
by: Ye, Zijian, et al.
Published: (2025)

MCEL: Margin-Based Cross-Entropy Loss for Error-Tolerant Quantized Neural Networks
by: Yayla, Mikail, et al.
Published: (2026)

Boosting Maximum Entropy Reinforcement Learning via One-Step Flow Matching
by: Li, Zeqiao, et al.
Published: (2026)

Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
by: Nguyen, Dang, et al.
Published: (2025)

Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation with a Unified Model
by: Qiang, Bo, et al.
Published: (2023)

REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy
by: Chang, Haw-Shiuan, et al.
Published: (2024)

Kitty: Accurate and Efficient 2-bit KV Cache Quantization with Dynamic Channel-wise Precision Boost
by: Xia, Haojun, et al.
Published: (2025)

Are Linear Regression Models White Box and Interpretable?
by: Salih, Ahmed M, et al.
Published: (2024)

Contextual Pandora's Box
by: Atsidakou, Alexia, et al.
Published: (2022)

Black-Box Forgetting
by: Kuwana, Yusuke, et al.
Published: (2024)

Smoothing the Black-Box: Signed-Distance Supervision for Black-Box Model Copying
by: Jiménez, Rubén, et al.
Published: (2026)

CE-U: Cross Entropy Unlearning
by: Yang, Bo
Published: (2025)

On the Spectral Flattening of Quantized Embeddings
by: Huang, Junlin, et al.
Published: (2026)

Turning Black Box into White Box: Dataset Distillation Leaks
by: Chen, Huajie, et al.
Published: (2026)

CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting
by: Chen, Chuanqi, et al.
Published: (2023)

Black-Box Anomaly Attribution
by: Idé, Tsuyoshi, et al.
Published: (2023)

Improving Uncertainty Sampling with Bell Curve Weight Function
by: Chong, Zan-Kai, et al.
Published: (2024)

A Boosted Machine Learning Framework for the Improvement of Phase and Crystal Structure Prediction of High Entropy Alloys Using Thermodynamic and Configurational Parameters
by: Dey, Debsundar, et al.
Published: (2023)

Integrating White and Black Box Techniques for Interpretable Machine Learning
by: Vernon, Eric M., et al.
Published: (2024)

Label Forensics: Interpreting Hard Labels in Black-Box Text Classifier
by: Du, Mengyao, et al.
Published: (2025)

The Challenge of Identifying the Origin of Black-Box Large Language Models
by: Yang, Ziqing, et al.
Published: (2025)

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics
by: Poland, David J
Published: (2025)

RILQ: Rank-Insensitive LoRA-based Quantization Error Compensation for Boosting 2-bit Large Language Model Accuracy
by: Lee, Geonho, et al.
Published: (2024)