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Subha Maity
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 19
Top Topics
Bayes Classifiers
Visual Representations
Statistical Inference
Heterogeneous Data
Top Venues
CoRR
ICLR
J. Mach. Learn. Res.
ICML
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Publications
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Subha Maity
,
Debarghya Mukherjee
,
Moulinath Banerjee
,
Yuekai Sun
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift.
ICLR
(2023)
Subha Maity
,
Mikhail Yurochkin
,
Moulinath Banerjee
,
Yuekai Sun
Understanding new tasks through the lens of training data via exponential tilting.
ICLR
(2023)
Soham Bakshi
,
Subha Maity
Bayes classifier cannot be learned from noisy responses with unknown noise rates.
CoRR
(2023)
Felipe Maia Polo
,
Mikhail Yurochkin
,
Moulinath Banerjee
,
Subha Maity
,
Yuekai Sun
Estimating Fréchet bounds for validating programmatic weak supervision.
CoRR
(2023)
Subha Maity
,
Mayank Agarwal
,
Mikhail Yurochkin
,
Yuekai Sun
An Investigation of Representation and Allocation Harms in Contrastive Learning.
CoRR
(2023)
Lilian Ngweta
,
Subha Maity
,
Alex Gittens
,
Yuekai Sun
,
Mikhail Yurochkin
Simple Disentanglement of Style and Content in Visual Representations.
ICML
(2023)
Lilian Ngweta
,
Subha Maity
,
Alex Gittens
,
Yuekai Sun
,
Mikhail Yurochkin
Simple Disentanglement of Style and Content in Visual Representations.
CoRR
(2023)
Soham Bakshi
,
Subha Maity
Bayes classifier cannot be learned from noisy responses with unknown noise rates.
Tiny Papers @ ICLR
(2023)
Bum Chul Kwon
,
Uri Kartoun
,
Shaan Khurshid
,
Mikhail Yurochkin
,
Subha Maity
,
Deanna G. Brockman
,
Amit V. Khera
,
Patrick T. Ellinor
,
Steven A. Lubitz
,
Kenney Ng
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups.
IEEE VIS (Short Papers)
(2022)
Subha Maity
,
Mikhail Yurochkin
,
Moulinath Banerjee
,
Yuekai Sun
Understanding new tasks through the lens of training data via exponential tilting.
CoRR
(2022)
Subha Maity
,
Yuekai Sun
,
Moulinath Banerjee
Minimax optimal approaches to the label shift problem in non-parametric settings.
J. Mach. Learn. Res.
23 (2022)
Subha Maity
,
Debarghya Mukherjee
,
Moulinath Banerjee
,
Yuekai Sun
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift.
CoRR
(2022)
Bum Chul Kwon
,
Uri Kartoun
,
Shaan Khurshid
,
Mikhail Yurochkin
,
Subha Maity
,
Deanna G. Brockman
,
Amit V. Khera
,
Patrick T. Ellinor
,
Steven A. Lubitz
,
Kenney Ng
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups.
CoRR
(2022)
Subha Maity
,
Saptarshi Roy
,
Songkai Xue
,
Mikhail Yurochkin
,
Yuekai Sun
How does overparametrization affect performance on minority groups?
CoRR
(2022)
Subha Maity
,
Yuekai Sun
,
Moulinath Banerjee
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions.
J. Mach. Learn. Res.
23 (2022)
Subha Maity
,
Songkai Xue
,
Mikhail Yurochkin
,
Yuekai Sun
Statistical inference for individual fairness.
CoRR
(2021)
Subha Maity
,
Songkai Xue
,
Mikhail Yurochkin
,
Yuekai Sun
Statistical inference for individual fairness.
ICLR
(2021)
Subha Maity
,
Debarghya Mukherjee
,
Mikhail Yurochkin
,
Yuekai Sun
Does enforcing fairness mitigate biases caused by subpopulation shift?
NeurIPS
(2021)
Subha Maity
,
Debarghya Mukherjee
,
Mikhail Yurochkin
,
Yuekai Sun
There is no trade-off: enforcing fairness can improve accuracy.
CoRR
(2020)