6 papers
Conformal Policy Control
Drew Prinster, Clara Fannjiang, Ji Won Park +4
An agent must try new behaviors to explore and improve. In high-stakes environments, an agent that violates safety constraints may cause harm and must be taken offline, curtailing…
MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement
Suhyun Han, Kyunghyun Cho, JinYeong Bak
As mental health concerns continue to rise globally, social media has emerged as a vital space where individuals seek emotional support. While prior work on personalized emotional…
Multi-Task Bayesian In-Context Learning
Qingyang Zhu, Eric Karl Oermann, Kyunghyun Cho
Bayesian predictive inference provides a principled framework for uncertainty quantification, data efficiency, and robust generalization. However, exact inference is often intracta…
Computational Identifiability
Lucius E. J. Bynum, Rajesh Ranganath, Kyunghyun Cho
Identification conditions describe the computability of a target query or parameter of interest as a function of the type and amount of information available. In causal identificat…
scCBGM: Interpretable Single-Cell Counterfactual Editing
Alma Andersson, Aya Abdelsalam Ismail, Edward De Brouwer +6
Understanding cellular phenotypes and how they respond to perturbations is critical for disease biology and therapeutic design. Single-cell RNA sequencing enables characterization…
Large-Scale Targeted Cause Discovery via Learning from Simulated Data
Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun +2
We propose a novel machine learning approach for inferring causal variables of a target variable from observations. Our focus is on directly inferring a set of causal factors witho…