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researcher

Francis R. Bach

4 papers hereh-index 264 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • cs.LG1
  • math.ST1
same name
  • Francis R. Bach — 18 papers, h 7
  • Francis R. Bach — 5 papers, h 2
  • Francis R. Bach — 5 papers, h 2
  • Francis R. Bach — 5 papers, h 2
  • Francis R. Bach — 2 papers, h 4
  • Francis R. Bach — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20112026
most citedMulti-task Regression using Minimal Penalties

48 citations · 48 across the 3 of their papers we have counts for

collaborators

4 papers

stat.ME2026

Generalized Engression Models

Xinwei Shen, Zijian Guo, Francis Bach

We consider estimating the conditional distribution of a multivariate outcome given covariates when its coordinates may be continuous, binary, categorical, ordinal or rankings, and…

stat.ME2025

Statistical Analysis of Conditional Group Distributionally Robust Optimization with Cross-Entropy Loss

Zijian Guo, Zhenyu Wang, Yifan Hu +1

In multi-source learning with discrete labels, distributional heterogeneity across domains poses a central challenge to developing predictive models that transfer reliably to unsee…

cs.LG2025

StablePCA: Distributionally Robust Learning of Shared Representations from Multi-Source Data

Zhenyu Wang, Molei Liu, Jing Lei +2

When synthesizing multi-source high-dimensional data, a key objective is to extract low-dimensional representations that effectively approximate the original features across differ…

math.ST2011★ 48 cited

Multi-task Regression using Minimal Penalties

Matthieu Solnon, Sylvain Arlot, Francis Bach

In this paper we study the kernel multiple ridge regression framework, which we refer to as multi-task regression, using penalization techniques. The theoretical analysis of this p…

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