Contrasting the landscape of contrastive and non-contrastive learning

1 code implementation • 29 Mar 2022 • Ashwini Pokle, Jinjin Tian, Yuchen Li, Andrej Risteski

Some recent works however have shown promising results for non-contrastive learning, which does not require negative samples.

Contrastive Learning

Large-scale simultaneous inference under dependence

1 code implementation • 22 Feb 2021 • Jinjin Tian, Xu Chen, Eugene Katsevich, Jelle Goeman, Aaditya Ramdas

Simultaneous inference allows for the exploration of data while deciding on criteria for proclaiming discoveries.

Statistics Theory Methodology Statistics Theory

Online control of the familywise error rate

1 code implementation • 10 Oct 2019 • Jinjin Tian, Aaditya Ramdas

Biological research often involves testing a growing number of null hypotheses as new data is accumulated over time.

ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls

1 code implementation • NeurIPS 2019 • Jinjin Tian, Aaditya Ramdas

Major internet companies routinely perform tens of thousands of A/B tests each year.