Subha Maity

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Heterogeneous Data

Bayes Classifier

Visual Representations

Sparse Regression

Top Venues

J. Mach. Learn. Res.

Tiny Papers @ ICLR

Publications

Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
An Investigation of Representation and Allocation Harms in Contrastive Learning. ICLR (2024)
Daniele Bracale, Subha Maity, Moulinath Banerjee, Yuekai Sun
Learning the Distribution Map in Reverse Causal Performative Prediction. CoRR (2024)
Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
Aligners: Decoupling LLMs and Alignment. Tiny Papers @ ICLR (2024)
Lilian Ngweta, Mayank Agarwal, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin
Aligners: Decoupling LLMs and Alignment. CoRR (2024)
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)