The Bid Picture: Auction-Inspired Multi-player Generative Adversarial Networks Training
Fuente:
arXiv
Saved in:
| Main Authors: | Shim, Joo Yong, Choe, Jean Seong Bjorn, Kim, Jong-Kook |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation
by: Choe, Jean Seong Bjorn, et al.
Published: (2024)
by: Choe, Jean Seong Bjorn, et al.
Published: (2024)
Learning in Repeated Multi-Unit Pay-As-Bid Auctions
by: Galgana, Rigel, et al.
Published: (2023)
by: Galgana, Rigel, et al.
Published: (2023)
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples
by: Irshad, Samra, et al.
Published: (2025)
by: Irshad, Samra, et al.
Published: (2025)
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching
by: Kook, Sujin, et al.
Published: (2024)
by: Kook, Sujin, et al.
Published: (2024)
Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
by: Nodozi, Iman, et al.
Published: (2025)
by: Nodozi, Iman, et al.
Published: (2025)
Enhancing Stability in Training Conditional Generative Adversarial Networks via Selective Data Matching
by: Kong, Kyeongbo, et al.
Published: (2021)
by: Kong, Kyeongbo, et al.
Published: (2021)
SSI-GAN: Semi-Supervised Swin-Inspired Generative Adversarial Networks for Neuronal Spike Classification
by: Sharifrazi, Danial, et al.
Published: (2026)
by: Sharifrazi, Danial, et al.
Published: (2026)
MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data
by: Ling, Yaobin, et al.
Published: (2024)
by: Ling, Yaobin, et al.
Published: (2024)
Average-Reward Maximum Entropy Reinforcement Learning for Underactuated Double Pendulum Tasks
by: Choe, Jean Seong Bjorn, et al.
Published: (2024)
by: Choe, Jean Seong Bjorn, et al.
Published: (2024)
VAO: Validation-Aligned Optimization for Cross-Task Generative Auto-Bidding
by: Lv, Yiqin, et al.
Published: (2025)
by: Lv, Yiqin, et al.
Published: (2025)
Molecular Generative Adversarial Network with Multi-Property Optimization
by: Tang, Huidong, et al.
Published: (2024)
by: Tang, Huidong, et al.
Published: (2024)
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
by: Kim, Myunsoo, et al.
Published: (2025)
by: Kim, Myunsoo, et al.
Published: (2025)
MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains
by: Lee, Kyungeun, et al.
Published: (2025)
by: Lee, Kyungeun, et al.
Published: (2025)
Multi-agent Auto-Bidding with Latent Graph Diffusion Models
by: Huh, Dom, et al.
Published: (2025)
by: Huh, Dom, et al.
Published: (2025)
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing
by: Fu, Lingyue, et al.
Published: (2025)
by: Fu, Lingyue, et al.
Published: (2025)
NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
by: Kim, Hyo Seo, et al.
Published: (2024)
by: Kim, Hyo Seo, et al.
Published: (2024)
CroMe: Multimodal Fake News Detection using Cross-Modal Tri-Transformer and Metric Learning
by: Choi, Eunjee, et al.
Published: (2025)
by: Choi, Eunjee, et al.
Published: (2025)
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks
by: Kim, Yejin, et al.
Published: (2024)
by: Kim, Yejin, et al.
Published: (2024)
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better
by: Zhou, MingWei, et al.
Published: (2025)
by: Zhou, MingWei, et al.
Published: (2025)
Anomaly Detection with Adaptive and Aggressive Rejection for Contaminated Training Data
by: Lee, Jungi, et al.
Published: (2025)
by: Lee, Jungi, et al.
Published: (2025)
Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
by: Shim, Jung-Woo, et al.
Published: (2025)
by: Shim, Jung-Woo, et al.
Published: (2025)
A Sharper Picture of Generalization in Transformers
by: Lintilhac, Paul, et al.
Published: (2026)
by: Lintilhac, Paul, et al.
Published: (2026)
Conflict-Aware Adversarial Training
by: Xue, Zhiyu, et al.
Published: (2024)
by: Xue, Zhiyu, et al.
Published: (2024)
Adversarial Training: A Survey
by: Zhao, Mengnan, et al.
Published: (2024)
by: Zhao, Mengnan, et al.
Published: (2024)
Massively Multiagent Minigames for Training Generalist Agents
by: Choe, Kyoung Whan, et al.
Published: (2024)
by: Choe, Kyoung Whan, et al.
Published: (2024)
Adversarial Training for Robust Coverage Network under Worst-case Facility Losses
by: Miao, Changhao, et al.
Published: (2026)
by: Miao, Changhao, et al.
Published: (2026)
PolicyEvolve: Evolving Programmatic Policies by LLMs for multi-player games via Population-Based Training
by: Lv, Mingrui, et al.
Published: (2025)
by: Lv, Mingrui, et al.
Published: (2025)
MemLoss: Enhancing Adversarial Training with Recycling Adversarial Examples
by: Mahdi, Soroush, et al.
Published: (2025)
by: Mahdi, Soroush, et al.
Published: (2025)
Safe Online Bid Optimization with Return on Investment and Budget Constraints
by: Castiglioni, Matteo, et al.
Published: (2022)
by: Castiglioni, Matteo, et al.
Published: (2022)
LLM-Auction: Generative Auction towards LLM-Native Advertising
by: Zhao, Chujie, et al.
Published: (2025)
by: Zhao, Chujie, et al.
Published: (2025)
Generative Adversarial Networks for Imputing Sparse Learning Performance
by: Zhang, Liang, et al.
Published: (2024)
by: Zhang, Liang, et al.
Published: (2024)
Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease
by: Kim, So Yeon, et al.
Published: (2024)
by: Kim, So Yeon, et al.
Published: (2024)
Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
by: Yin, Xuwang, et al.
Published: (2025)
by: Yin, Xuwang, et al.
Published: (2025)
Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives
by: Liu, Wei, et al.
Published: (2026)
by: Liu, Wei, et al.
Published: (2026)
LLM Advertisement based on Neuron Auctions
by: Yun, Peiran, et al.
Published: (2026)
by: Yun, Peiran, et al.
Published: (2026)
Decentralized Adversarial Training over Graphs
by: Cao, Ying, et al.
Published: (2023)
by: Cao, Ying, et al.
Published: (2023)
Adversarial Training for Process Reward Models
by: Juneja, Gurusha, et al.
Published: (2025)
by: Juneja, Gurusha, et al.
Published: (2025)
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
by: Gong, Yanxiang, et al.
Published: (2022)
by: Gong, Yanxiang, et al.
Published: (2022)
Adversarial Generative Flow Network for Solving Vehicle Routing Problems
by: Zhang, Ni, et al.
Published: (2025)
by: Zhang, Ni, et al.
Published: (2025)
Similar Items
-
Maximum Entropy On-Policy Actor-Critic via Entropy Advantage Estimation
by: Choe, Jean Seong Bjorn, et al.
Published: (2024) -
Learning in Repeated Multi-Unit Pay-As-Bid Auctions
by: Galgana, Rigel, et al.
Published: (2023) -
Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples
by: Irshad, Samra, et al.
Published: (2025) -
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching
by: Kook, Sujin, et al.
Published: (2024) -
Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
by: Nodozi, Iman, et al.
Published: (2025)