Copertina

TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhong, Yuan-Ting, Huang, Ting, Xiao, Xiaolin, Gong, Yue-Jiao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Large Language Model as Meta-Surrogate for Data-Driven Many-Task Optimization: A Proof-of-Principle Study
di: Zhang, Xian-Rong, et al.
Pubblicazione: (2025)

GeM-EA: A Generative and Meta-learning Enhanced Evolutionary Algorithm for Streaming Data-Driven Optimization
di: Wu, Yue, et al.
Pubblicazione: (2026)

Surrogate Ensemble in Expensive Multi-Objective Optimization via Deep Q-Learning
di: Wu, Yuxin, et al.
Pubblicazione: (2026)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
di: Barboza, Eduardo V. L., et al.
Pubblicazione: (2026)

Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven Optimization
di: Zhang, Xian-Rong, et al.
Pubblicazione: (2025)

ROSFD: Robust Online Streaming Fraud Detection with Resilience to Concept Drift in Data Streams
di: Yelleti, Vivek
Pubblicazione: (2025)

Detect and Act: Automated Dynamic Optimizer through Meta-Black-Box Optimization
di: Gao, Zijian, et al.
Pubblicazione: (2026)

Autonomous Drift Learning in Data Streams: A Unified Perspective
di: Yang, Xiaoyu, et al.
Pubblicazione: (2026)

On the Importance of Backbone to the Adversarial Robustness of Object Detectors
di: Li, Xiao, et al.
Pubblicazione: (2023)

Surrogate Learning in Meta-Black-Box Optimization: A Preliminary Study
di: Ma, Zeyuan, et al.
Pubblicazione: (2025)

READY: Reward Discovery for Meta-Black-Box Optimization
di: Huang, Zechuan, et al.
Pubblicazione: (2026)

TRACE: Transport Alignment Conformal Prediction via Diffusion and Flow Matching Models
di: Fang, Zhenhan, et al.
Pubblicazione: (2026)

Generalized Incremental Learning under Concept Drift across Evolving Data Streams
di: Yu, En, et al.
Pubblicazione: (2025)

Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
di: Li, Jin, et al.
Pubblicazione: (2026)

Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
di: Gower-Winter, Brandon, et al.
Pubblicazione: (2024)

Closing Gaps in Emissions Monitoring with Climate TRACE
di: Lancellotti, Brittany V., et al.
Pubblicazione: (2025)

Drift Detection: Introducing Gaussian Split Detector
di: Fuccellaro, Maxime, et al.
Pubblicazione: (2024)

Temporal Analysis of Drifting Hashtags in Textual Data Streams: A Graph-Based Application
di: Garcia, Cristiano M., et al.
Pubblicazione: (2024)

Methods for Generating Drift in Text Streams
di: Garcia, Cristiano Mesquita, et al.
Pubblicazione: (2024)

Task-Sensitive Concept Drift Detector with Constraint Embedding
di: Castellani, Andrea, et al.
Pubblicazione: (2021)

Adaptive Bernstein Change Detector for High-Dimensional Data Streams
di: Heyden, Marco, et al.
Pubblicazione: (2023)

Open World Autoencoding Drift Detection with Novel Class Recognition in Tabular Non-stationary Data Streams
di: Komorniczak, Joanna
Pubblicazione: (2026)

Neural Exploratory Landscape Analysis for Meta-Black-Box-Optimization
di: Ma, Zeyuan, et al.
Pubblicazione: (2024)

Environment Inference for Learning Generalizable Dynamical System
di: Liu, Shixuan, et al.
Pubblicazione: (2025)

DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting
di: Liang, Daojun, et al.
Pubblicazione: (2025)

Diffusion Model for Data-Driven Black-Box Optimization
di: Li, Zihao, et al.
Pubblicazione: (2024)

Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles
di: Neves, Lara Sá, et al.
Pubblicazione: (2026)

IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection
di: Xu, Yang, et al.
Pubblicazione: (2025)

Statistical Machine Learning for Astronomy -- A Textbook
di: Ting, Yuan-Sen
Pubblicazione: (2025)

TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
di: Chen, Jialin, et al.
Pubblicazione: (2025)

TRACE: Theoretical Risk Attribution under Covariate-shift Effects
di: Anjidani, Hosein, et al.
Pubblicazione: (2026)

Robust Outlier Detection and Low-Latency Concept Drift Adaptation for Data Stream Regression: A Dual-Channel Architecture
di: Wang, Bingbing, et al.
Pubblicazione: (2025)

Diversity Optimization for Travelling Salesman Problem via Deep Reinforcement Learning
di: Li, Qi, et al.
Pubblicazione: (2025)

DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning
di: Han, Yizhou, et al.
Pubblicazione: (2026)

Extension OL-MDISF: Online Learning from Mix-Typed, Drifted, and Incomplete Streaming Features
di: Zhuo, Shengda, et al.
Pubblicazione: (2025)

LEAD-Drift: Real-time and Explainable Intent Drift Detection by Learning a Data-Driven Risk Score
di: Hossain, Md. Kamrul, et al.
Pubblicazione: (2026)

When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency
di: Fujiwara, Ren, et al.
Pubblicazione: (2026)

Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision
di: Tian, Yuxing, et al.
Pubblicazione: (2026)

Reinforcement Learning-assisted Constraint Relaxation for Constrained Expensive Optimization
di: Zhu, Qianhao, et al.
Pubblicazione: (2026)

Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data
di: He, Jiayi, et al.
Pubblicazione: (2024)