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stat.ML2026
Reliable Real-Time Value at Risk Estimation via Quantile Regression Forest with Conformal Calibration
Du-Yi Wang, Guo Liang, Kun Zhang +1
Rapidly evolving market conditions call for real-time risk monitoring, but its online estimation remains challenging. In this paper, we study the online estimation of one of the mo…
cs.LG2026
Diversified Scaling Inference in Time Series Foundation Models
Ruijin Hua, Zichuan Liu, Kun Zhang +1
The advancement of Time Series Foundation Models (TSFMs) has been driven primarily by large-scale pre-training, but inference-time compute potential remains largely untapped. This…
cs.LG2026
TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning
Shicheng Fan, Kun Zhang, Lu Cheng
Temporal causal representation learning methods assume that causal mechanisms switch instantaneously between discrete domains, yet real-world systems often exhibit continuous mecha…