Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples.

Jatin Chauhan Shreyas Havaldar Jatin Chauhan Karthikeyan Shanmugam 0001 Jay Nandy Aravindan Raghuveer Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. 12331-12339 2024 AAAI https://doi.org/10.1609/aaai.v38i11.29124 conf/aaai/2024 db/conf/aaai/aaai2024.html#HavaldarCSNR24 Yanqiao Zhu 0001 Jeehyun Hwang Keir Adams Zhen Liu 0069 Bozhao Nan Brock Stenfors Yuanqi Du Jatin Chauhan Olaf Wiest Olexandr Isayev Connor W. Coley Yizhou Sun Wei Wang 0010 Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. 2024 ICLR https://openreview.net/forum?id=NSDszJ2uIV conf/iclr/2024 db/conf/iclr/iclr2024.html#0001HALNSDCWICS24 Jay Nandy Jatin Chauhan Rishi Saket Aravindan Raghuveer Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. 1887-1896 2023 CIKM https://doi.org/10.1145/3583780.3614992 conf/cikm/2023 db/conf/cikm/cikm2023.html#NandyCSR23 Jatin Chauhan Xiaoxuan Wang Wei Wang 0010 Learning under Label Proportions for Text Classification. 12210-12223 2023 EMNLP (Findings) https://doi.org/10.18653/v1/2023.findings-emnlp.817 https://aclanthology.org/2023.findings-emnlp.817 conf/emnlp/2023f db/conf/emnlp/emnlp2023f.html#ChauhanW023 Yihan Wang Jatin Chauhan Wei Wang 0010 Cho-Jui Hsieh Universality and Limitations of Prompt Tuning. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/eef6aecfe050b556c6a48d9c16b15558-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#WangC0H23

Yihan Wang Jatin Chauhan Wei Wang 0010 Cho-Jui Hsieh Universality and Limitations of Prompt Tuning. 2023 abs/2305.18787 CoRR https://doi.org/10.48550/arXiv.2305.18787 db/journals/corr/corr2305.html#abs-2305-18787

Yanqiao Zhu 0001 Jeehyun Hwang Keir Adams Zhen Liu 0069 Bozhao Nan Brock Stenfors Yuanqi Du Jatin Chauhan Olaf Wiest Olexandr Isayev Connor W. Coley Yizhou Sun Wei Wang 0010 Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks. 2023 abs/2310.00115 CoRR https://doi.org/10.48550/arXiv.2310.00115 db/journals/corr/corr2310.html#abs-2310-00115

Shreyas Havaldar Jatin Chauhan Karthikeyan Shanmugam 0001 Jay Nandy Aravindan Raghuveer Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift. 2023 abs/2310.07535 CoRR https://doi.org/10.48550/arXiv.2310.07535 db/journals/corr/corr2310.html#abs-2310-07535

Jatin Chauhan Xiaoxuan Wang Wei Wang 0010 Learning under Label Proportions for Text Classification. 2023 abs/2310.11707 CoRR https://doi.org/10.48550/arXiv.2310.11707 db/journals/corr/corr2310.html#abs-2310-11707

Jay Nandy Rishi Saket Prateek Jain Jatin Chauhan Balaraman Ravindran Aravindan Raghuveer Domain-Agnostic Contrastive Representations for Learning from Label Proportions. 1542-1551 2022 CIKM https://doi.org/10.1145/3511808.3557293 conf/cikm/2022 db/conf/cikm/cikm2022.html#NandySJCRR22 Jatin Chauhan Manohar Kaul BERTops: Studying BERT Representations under a Topological Lens. 1-8 2022 IJCNN https://doi.org/10.1109/IJCNN55064.2022.9891897 conf/ijcnn/2022 db/conf/ijcnn/ijcnn2022.html#ChauhanK22 Jatin Chauhan Aravindan Raghuveer Rishi Saket Jay Nandy Balaraman Ravindran Multi-Variate Time Series Forecasting on Variable Subsets. 76-86 2022 KDD https://doi.org/10.1145/3534678.3539394 conf/kdd/2022 db/conf/kdd/kdd2022.html#ChauhanRSNR22

Jatin Chauhan Manohar Kaul BERTops: Studying BERT Representations under a Topological Lens. 2022 abs/2205.00953 CoRR https://doi.org/10.48550/arXiv.2205.00953 db/journals/corr/corr2205.html#abs-2205-00953

Jatin Chauhan Aravindan Raghuveer Rishi Saket Jay Nandy Balaraman Ravindran Multi-Variate Time Series Forecasting on Variable Subsets. 2022 abs/2206.12626 CoRR https://doi.org/10.48550/arXiv.2206.12626 db/journals/corr/corr2206.html#abs-2206-12626

Jatin Chauhan Karan Bhukar Manohar Kaul Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models. 2021 abs/2106.07047 CoRR https://arxiv.org/abs/2106.07047 db/journals/corr/corr2106.html#abs-2106-07047

Jatin Chauhan Priyanshu Gupta Pasquale Minervini A Probabilistic Framework for Knowledge Graph Data Augmentation. 2021 abs/2110.13205 CoRR https://arxiv.org/abs/2110.13205 db/journals/corr/corr2110.html#abs-2110-13205

Jatin Chauhan Deepak Nathani Manohar Kaul Few-Shot Learning on graphs via super-Classes based on Graph spectral Measures. 2020 ICLR https://openreview.net/forum?id=Bkeeca4Kvr conf/iclr/2020 db/conf/iclr/iclr2020.html#ChauhanNK20 Charu Sharma Jatin Chauhan Manohar Kaul Learning Representations using Spectral-Biased Random Walks on Graphs. 1-8 2020 IJCNN https://doi.org/10.1109/IJCNN48605.2020.9206976 conf/ijcnn/2020 db/conf/ijcnn/ijcnn2020.html#SharmaCK20

Jatin Chauhan Deepak Nathani Manohar Kaul Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures. 2020 abs/2002.12815 CoRR https://arxiv.org/abs/2002.12815 db/journals/corr/corr2002.html#abs-2002-12815

Charu Sharma Jatin Chauhan Manohar Kaul Learning Representations using Spectral-Biased Random Walks on Graphs. 2020 abs/2005.09752 CoRR https://arxiv.org/abs/2005.09752 db/journals/corr/corr2005.html#abs-2005-09752

Deepak Nathani Jatin Chauhan Charu Sharma Manohar Kaul Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. 4710-4723 2019 ACL (1) https://doi.org/10.18653/v1/p19-1466 https://aclanthology.org/P19-1466/ conf/acl/2019-1 db/conf/acl/acl2019-1.html#NathaniCSK19

Deepak Nathani Jatin Chauhan Charu Sharma Manohar Kaul Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs. 2019 abs/1906.01195 CoRR http://arxiv.org/abs/1906.01195 db/journals/corr/corr1906.html#abs-1906-01195

Keir Adams Karan Bhukar Connor W. Coley Yuanqi Du Priyanshu Gupta Shreyas Havaldar Cho-Jui Hsieh Jeehyun Hwang Olexandr Isayev Prateek Jain Manohar Kaul Zhen Liu 0069 Pasquale Minervini Bozhao Nan Jay Nandy Deepak Nathani Aravindan Raghuveer Balaraman Ravindran Rishi Saket Karthikeyan Shanmugam 0001 Charu Sharma Brock Stenfors Yizhou Sun Wei Wang 0010 Xiaoxuan Wang Yihan Wang Olaf Wiest Yanqiao Zhu 0001