Causal & Statistical Methods

Causal inference, statistical methods, uncertainty quantification, Bayesian deep learning, conformal prediction.

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Generates diverse synthetic time series for pretraining foundation models with clear scaling laws.

Avg rating: 6.00 (4–8) · Shifeng Xie et al.

Develops causal structure learning framework for Hawkes processes identifying latent confounder subprocesses.

Avg rating: 7.00 (6–8) · Songyao Jin et al.

CRC optimizes prediction set construction under explicit robustness constraints instead of coverage for more efficient robust decisions.

Avg rating: 6.50 (6–8) · Yang Hu et al.

Solves optimal multi-draft speculative sampling via convex optimization achieving 90% acceptance rates.

Avg rating: 6.50 (6–8) · Rahul Krishna Thomas et al.

Structured Flow Autoencoders integrate flow matching with graphical models for structured representation learning.

Avg rating: 6.00 (4–8) · Yidan Xu et al.