9 citations · 15 across the 6 of their papers we have counts for
6 papers
LCA-on-the-Line: Benchmarking Out-of-Distribution Generalization with Class Taxonomies
Jia Shi, Gautam Gare, Jinjin Tian +6
We tackle the challenge of predicting models' Out-of-Distribution (OOD) performance using in-distribution (ID) measurements without requiring OOD data. Existing evaluations with "E…
Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle, Jinjin Tian, Yuchen Li +1
A lot of recent advances in unsupervised feature learning are based on designing features which are invariant under semantic data augmentations. A common way to do this is contrast…
From local to global gene co-expression estimation using single-cell RNA-seq data
Jinjin Tian, Jing Lei, Kathryn Roeder
In genomics studies, the investigation of the gene relationship often brings important biological insights. Currently, the large heterogeneous datasets impose new challenges for st…
Large-scale simultaneous inference under dependence
Jinjin Tian, Xu Chen, Eugene Katsevich +2
Simultaneous inference allows for the exploration of data while deciding on criteria for proclaiming discoveries. It was recently proved that all admissible post-hoc inference meth…
Online control of the familywise error rate
Jinjin Tian, Aaditya Ramdas
Biological research often involves testing a growing number of null hypotheses as new data is accumulated over time. We study the problem of online control of the familywise error…
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
Jinjin Tian, Aaditya Ramdas
Major internet companies routinely perform tens of thousands of A/B tests each year. Such large-scale sequential experimentation has resulted in a recent spurt of new algorithms th…