papers

Publications (6)

cs.CL2026

WISE-Flow: Workflow-Induced Structured Experience for Self-Evolving Conversational Service Agents

Yuqing Zhou, Zhuoer Wang, Jie Yuan +4

Large language model (LLM)-based agents are widely deployed in user-facing services but remain error-prone in new tasks, tend to repeat the same failure patterns, and show substant…

cs.LG2023

Dictionary-based Manifold Learning

Hanyu Zhang, Samson Koelle, Marina Meila

We propose a paradigm for interpretable Manifold Learning for scientific data analysis, whereby we parametrize a manifold with smooth functions from a scientist-provided dictio…

stat.ML2021

Manifold Coordinates with Physical Meaning

Samson Koelle, Hanyu Zhang, Marina Meila +1

Manifold embedding algorithms map high-dimensional data down to coordinates in a much lower-dimensional space. One of the aims of dimension reduction is to find intrinsic coordinat…

stat.ML2026

Isometry pursuit

Samson Koelle, Marina Meila

Isometry pursuit is a convex algorithm for identifying orthonormal column-submatrices of wide matrices. It consists of a novel normalization method followed by multitask basis purs…

cs.LG2026

Optimizing What Policies Learn From: Recoverability-aware Rollout Intervention Learning

Zheyuan Zhang, Manqing Mao, Hong Wang +8

Critic-free group-based reinforcement learning has become a scalable approach for post-training large language models. However, most existing methods allocate the same number of ro…

stat.ME2018

Statistical inference in partially observed branching processes with application to cell lineage tracking of in vivo hematopoiesis

Jason Xu, Samson Koelle, Peter Guttorp +4

Single-cell lineage tracking strategies enabled by recent experimental technologies have produced significant insights into cell fate decisions, but lack the quantitative framework…