:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Andy, Lin, Chun-Cheng, Huang, Yuehua, Liaw, Rung-Tzuo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2510.03330
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Actor Multi-Critic Deep Deterministic Reinforcement Learning with a Novel Q-Ensemble Method
by: Wu, Andy, et al.
Published: (2025)

Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
by: Bugarin, Nikola, et al.
Published: (2024)

Twin Sorting Dynamic Programming Assisted User Association and Wireless Bandwidth Allocation for Hierarchical Federated Learning
by: Gau, Rung-Hung, et al.
Published: (2024)

Challenges in Variable Importance Ranking Under Correlation
by: Liang, Annie, et al.
Published: (2024)

Learning When Not to Learn: Risk-Sensitive Abstention in Bandits with Unbounded Rewards
by: Liaw, Sarah, et al.
Published: (2025)

Disentangled Latent Spaces for Reduced Order Models using Deterministic Autoencoders
by: Schwarz, Henning, et al.
Published: (2025)

A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction
by: Song, Yuehua, et al.
Published: (2025)

Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
by: Anand, Emile, et al.
Published: (2025)

LTD: Low Temperature Distillation for Gradient Masking-free Adversarial Training
by: Chen, Erh-Chung, et al.
Published: (2021)

Conditional Neural Field based Reduced Order Model for Dynamic Ditching Load Prediction
by: Schwarz, Henning, et al.
Published: (2026)

Fixed-Budget Change Point Identification in Piecewise Constant Bandits
by: Lazzaro, Joseph, et al.
Published: (2025)

Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
by: Zhu, Yuehua, et al.
Published: (2020)

Learning local neighborhoods of non-Gaussian graphical models: A measure transport approach
by: Liaw, Sarah, et al.
Published: (2025)

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning?
by: Omori, Yumi, et al.
Published: (2025)

EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments
by: Edward, et al.
Published: (2024)

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
by: Grattarola, Daniele, et al.
Published: (2018)

Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
by: Feng, Zhe, et al.
Published: (2024)

Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples
by: Afzali, Mohammad, et al.
Published: (2023)

Agnostic Private Density Estimation for GMMs via List Global Stability
by: Afzali, Mohammad, et al.
Published: (2024)

A Unified Approach to Submodular Maximization Under Noise
by: Bhawalkar, Kshipra, et al.
Published: (2025)

Machine Learning based Prediction of Ditching Loads
by: Schwarz, Henning, et al.
Published: (2024)

Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
by: Wu, Rujie, et al.
Published: (2023)

Graph World Model
by: Feng, Tao, et al.
Published: (2025)

Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
by: Chen, Erh-Chung, et al.
Published: (2024)

Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Industrial Anomaly Detection
by: Wang, Junpu, et al.
Published: (2024)

Learn to Change the World: Multi-level Reinforcement Learning with Model-Changing Actions
by: Lu, Ziqing, et al.
Published: (2025)

DOFEN: Deep Oblivious Forest ENsemble
by: Chen, Kuan-Yu, et al.
Published: (2024)

Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
by: Kang, Haoqiang, et al.
Published: (2023)

Improving the Stability of GNN Force Field Models by Reducing Feature Correlation
by: Zeng, Yujie, et al.
Published: (2025)

EDELINE: Enhancing Memory in Diffusion-based World Models via Linear-Time Sequence Modeling
by: Lee, Jia-Hua, et al.
Published: (2025)

User Response in Ad Auctions: An MDP Formulation of Long-Term Revenue Optimization
by: Cai, Yang, et al.
Published: (2023)

World Model Agents with Change-Based Intrinsic Motivation
by: Ferrao, Jeremias, et al.
Published: (2025)

Adjoint-based shape optimization of a ship hull using a Conditional Variational Autoencoder (CVAE) assisted propulsion surrogate model
by: Maram, Moloud Arian, et al.
Published: (2026)

Stability and Generalization of Hypergraph Collaborative Networks
by: Ng, Michael, et al.
Published: (2023)

Training Transformers with Enforced Lipschitz Constants
by: Newhouse, Laker, et al.
Published: (2025)

Transformers Can Learn Rules They've Never Seen: Proof of Computation Beyond Interpolation
by: Gray, Andy
Published: (2026)

Efficient Sparse Training with Structured Dropout
by: Lo, Andy
Published: (2024)

On the social bias of speech self-supervised models
by: Lin, Yi-Cheng, et al.
Published: (2024)

TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection
by: Yu, Yuan-Cheng, et al.
Published: (2025)

Addressing A Posteriori Performance Degradation in Neural Network Subgrid Stress Models
by: Wu, Andy, et al.
Published: (2025)