:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yang, Bo, Luo, Ruixuan, Jin, Junqi, Zhu, Han
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2508.06069
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Large-Scale Auto-bidding with Nash Equilibrium Constraints
by: Mou, Zhiyu, et al.
Published: (2025)

BAT: Benchmark for Auto-bidding Task
by: Khirianova, Alexandra, et al.
Published: (2025)

Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding
by: Mou, Zhiyu, et al.
Published: (2025)

Auto-bidding under Return-on-Spend Constraints with Uncertainty Quantification
by: Han, Jiale, et al.
Published: (2025)

Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
by: Mou, Zhiyu, et al.
Published: (2025)

AIGB: Generative Auto-bidding via Conditional Diffusion Modeling
by: Guo, Jiayan, et al.
Published: (2024)

Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL)
by: Chiappa, Alberto Silvio, et al.
Published: (2024)

Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding
by: Li, Haoming, et al.
Published: (2024)

Risk-Averse and Optimistic Advertiser Incentive Compatibility in Auto-bidding
by: Liaw, Christopher, et al.
Published: (2025)

Constraint-Aware Generative Auto-bidding via Pareto-Prioritized Regret Optimization
by: Wu, Binglin, et al.
Published: (2026)

Auto-bidding and Auctions in Online Advertising: A Survey
by: Aggarwal, Gagan, et al.
Published: (2024)

TriSpec: Ternary Speculative Decoding via Lightweight Proxy Verification
by: Jiang, Haoyun, et al.
Published: (2026)

Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement
by: Jiang, Hao, et al.
Published: (2025)

STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
by: Bhaumik, Kishor Kumar, et al.
Published: (2022)

An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising
by: Duan, Zhijian, et al.
Published: (2025)

Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
by: Chen, Kehua, et al.
Published: (2023)

Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising
by: Liu, Bin, et al.
Published: (2025)

A Lightweight and Transferable Design for Robust LEGO Manipulation
by: Liu, Ruixuan, et al.
Published: (2023)

AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt
by: Zhao, Zijian, et al.
Published: (2025)

CTR Prediction on Alibaba's Taobao Advertising Dataset Using Traditional and Deep Learning Models
by: Yang, Hongyu, et al.
Published: (2025)

Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices
by: Zhang, Ruixuan, et al.
Published: (2024)

STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
by: Luo, Xunlian, et al.
Published: (2023)

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights
by: Sheng, Xiang-Rong, et al.
Published: (2024)

Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
by: Zhou, Chang, et al.
Published: (2024)

MoveLight: Enhancing Traffic Signal Control through Movement-Centric Deep Reinforcement Learning
by: Shao, Junqi, et al.
Published: (2024)

LLM-Auction: Generative Auction towards LLM-Native Advertising
by: Zhao, Chujie, et al.
Published: (2025)

Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising
by: Wei, Penghui, et al.
Published: (2022)

Auto-FlexSwitch: Efficient Dynamic Model Merging via Learnable Task Vector Compression
by: Gao, Junqi, et al.
Published: (2026)

Urban Vibrancy Embedding and Application on Traffic Prediction
by: Han, Sumin, et al.
Published: (2026)

Generative Recommendation for Large-Scale Advertising
by: Xue, Ben, et al.
Published: (2026)

Generative Click-through Rate Prediction with Applications to Search Advertising
by: Kong, Lingwei, et al.
Published: (2025)

LLM Advertisement based on Neuron Auctions
by: Yun, Peiran, et al.
Published: (2026)

Geminet: Learning the Duality-based Iterative Process for Lightweight Traffic Engineering in Changing Topologies
by: Liu, Ximeng, et al.
Published: (2025)

ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding
by: Rajagopalan, Santosh, et al.
Published: (2025)

Towards Explainable Traffic Flow Prediction with Large Language Models
by: Guo, Xusen, et al.
Published: (2024)

MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification
by: Chen, Xu-Yang, et al.
Published: (2024)

Beyond Steering Vector: Flow-based Activation Steering for Inference-Time Intervention
by: Jin, Zehao, et al.
Published: (2026)

Modeling of Core Loss Based on Machine Learning and Deep Learning
by: He, Junqi, et al.
Published: (2025)

MSTIM: A MindSpore-Based Model for Traffic Flow Prediction
by: Qin, Weiqi, et al.
Published: (2025)

Meta Dynamic Graph for Traffic Flow Prediction
by: Zou, Yiqing, et al.
Published: (2026)