Sarawagi, Sunita

34 publications

ICLR 2025 From Search to Sampling: Generative Models for Robust Algorithmic Recourse Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi

TMLR 2025 Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi

ICLR 2025 Robust Root Cause Diagnosis Using In-Distribution Interventions Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma

AAAI 2025 Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class Annie D'souza, Swetha M, Sunita Sarawagi

ICML 2025 The Missing Alignment Link of In-Context Learning on Sequences Harshvardhan Agarwal, Sunita Sarawagi

AAAI 2024 Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi

ICMLW 2024 Efficient Training of Language Models with Compact and Consistent Next Token Distributions Ashutosh Sathe, Sunita Sarawagi

NeurIPSW 2024 Leveraging a Simulator for Learning Causal Representations for CATE from Post-Treatment Covariates Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi

ICML 2024 PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi

NeurIPSW 2024 Reasoning with a Few Good Cross-Questions Greatly Enhances Causal Event Attribution in LLMs Sanyam Saxena, Sunita Sarawagi

ICMLW 2024 Transformer Designs for In-Context Learning in Foundation Models for Time Series Forecasting with Covariates Afrin Dange, Vaibhav Raj, Praneeth Netrapalli, Sunita Sarawagi

ICML 2023 Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi

ICLR 2023 In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations Ashish Mittal, Sunita Sarawagi, Preethi Jyothi

AAAI 2023 Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi

IJCAI 2022 Coherent Probabilistic Aggregate Queries on Long-Horizon Forecasts Prathamesh Deshpande, Sunita Sarawagi

ICLR 2022 Focus on the Common Good: Group Distributional Robustness Follows Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi

NeurIPS 2022 Learning Recourse on Instance Environment to Enhance Prediction Accuracy Lokesh N, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi

NeurIPS 2021 Active Assessment of Prediction Services as Accuracy Surface over Attribute Combinations Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi

NeurIPS 2021 Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time Anshul Nasery, Soumyadeep Thakur, Vihari Piratla, Abir De, Sunita Sarawagi

ICML 2020 Efficient Domain Generalization via Common-Specific Low-Rank Decomposition Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi

ICLR 2020 Learning from Rules Generalizing Labeled Exemplars Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi

AAAI 2020 Robust Data Programming with Precision-Guided Labeling Functions Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi

ICLR 2019 Posterior Attention Models for Sequence to Sequence Learning Shiv Shankar, Sunita Sarawagi

ICLR 2018 Generalizing Across Domains via Cross-Gradient Training Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi

AAAI 2018 Labeled Memory Networks for Online Model Adaptation Shiv Shankar, Sunita Sarawagi

ICML 2018 Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings Aviral Kumar, Sunita Sarawagi, Ujjwal Jain

AAAI 2016 Numerical Relation Extraction with Minimal Supervision Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi

ICML 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection Arun Iyer, Saketha Nath, Sunita Sarawagi

JMLR 2010 Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials Rahul Gupta, Sunita Sarawagi, Ajit A. Diwan

NeurIPS 2010 MAP Estimation in Binary MRFs via Bipartite Multi-Cuts Sashank J. Reddi, Sunita Sarawagi, Sundar Vishwanathan

ICML 2008 Accurate Max-Margin Training for Structured Output Spaces Sunita Sarawagi, Rahul Gupta

ICML 2007 Efficient Inference with Cardinality-Based Clique Potentials Rahul Gupta, Ajit A. Diwan, Sunita Sarawagi

ICML 2006 Efficient Inference on Sequence Segmentation Models Sunita Sarawagi

NeurIPS 2004 Semi-Markov Conditional Random Fields for Information Extraction Sunita Sarawagi, William W. Cohen