Missing Value Imputation on Multidimensional Time Series. - Parikshit Bansal; Prathamesh Deshpande; Sunita Sarawagi (Proc. VLDB Endow., 2021)

Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems. - Parikshit Bansal; Yashoteja Prabhu; Emre Kiciman; Amit Sharma 007 (CoRR, 2022)

Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers. - Parikshit Bansal; Amit Sharma 007 (ACL (1), 2023)

Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost. - Parikshit Bansal; Amit Sharma 007 (CoRR, 2023)

Understanding the Training Speedup from Sampling with Approximate Losses. - Rudrajit Das; Xi Chen; Bertram Ieong; Parikshit Bansal; Sujay Sanghavi (ICML, 2024)

Understanding Contrastive Learning via Gaussian Mixture Models. - Parikshit Bansal; Ali Kavis; Sujay Sanghavi (CoRR, 2024)

Context-Free Synthetic Data Mitigates Forgetting. - Parikshit Bansal; Sujay Sanghavi (CoRR, 2025)