Author

Yunxin Mao

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Conference Open access Sep 2026

Learning Kernelized Hypothesis for Hidden Confounder Detection

Detecting hidden confounding is crucial for reliable causal analysis from observational data, directly determining which downstream causal inference method to be deployed. Inspired by the theory of higher-order regression, recent sample-efficient hypothesis testing strategies overcome the restrictive requirement of mul...

Yi-Kai Chen, Hao-Tian Wang, Yunxin Mao et al. · Proceedings of the Thirty-Fi... · 0 citations

Conference Open access Sep 2026

Mitigating Collaboration Degeneration in Multi-Agent Code Generation via a Controllable Competitive Collaboration Approach

This work proposes C3, a Controllable Competitive Collaboration framework featuring two novel mechanisms: Centralized Auction-Based Competition (CAB) for role allocation via bidding and Decentralized Communication-Aware Competition (DCC) for solution refinement through opponent-aware adaptation.

Shan-Zhi Gu, Ming-Yang Geng, Yihong Dong et al. · Proceedings of the Thirty-Fi... · 0 citations