Efficient Organization of Large Multidimensional Arrays. - Sunita Sarawagi; Michael Stonebraker (ICDE, 1994)

Database Systems for Efficient Access to Tertiary Memory. - Sunita Sarawagi (IEEE Symposium on Mass Storage Systems, 1995)

Query Processing in Tertiary Memory Databases. - Sunita Sarawagi (VLDB, 1995)

On the Computation of Multidimensional Aggregates. - Sameet Agarwal; Rakesh Agrawal 001; Prasad Deshpande; Ashish Gupta 001; Jeffrey F. Naughton; Raghu Ramakrishnan 001; Sunita Sarawagi (VLDB, 1996)

Reordering Query Execution in Tertiary Memory Databases. - Sunita Sarawagi; Michael Stonebraker (VLDB, 1996)

Modeling Multidimensional Databases. - Rakesh Agrawal 001; Ashish Gupta 001; Sunita Sarawagi (ICDE, 1997)

Indexing OLAP Data. - Sunita Sarawagi (IEEE Data Eng. Bull., 1997)

Execution Reordering for Tertiary Memory Access. - Sunita Sarawagi (IEEE Data Eng. Bull., 1997)

Discovery-Driven Exploration of OLAP Data Cubes. - Sunita Sarawagi; Rakesh Agrawal 001; Nimrod Megiddo (EDBT, 1998)

Mining Generalized Association Rules and Sequential Patterns Using SQL Queries. - Shiby Thomas; Sunita Sarawagi (KDD, 1998)

Integrating Mining with Relational Database Systems: Alternatives and Implications. - Sunita Sarawagi; Shiby Thomas; Rakesh Agrawal 001 (SIGMOD Conference, 1998)

Mining Surprising Patterns Using Temporal Description Length. - Soumen Chakrabarti; Sunita Sarawagi; Byron Dom (VLDB, 1998)

Explaining Differences in Multidimensional Aggregates. - Sunita Sarawagi (VLDB, 1999)

i3: Intelligent, Interactive Investigaton of OLAP data cubes. - Sunita Sarawagi; Gayatri Sathe (SIGMOD Conference, 2000)

User-Adaptive Exploration of Multidimensional Data. - Sunita Sarawagi (VLDB, 2000)

Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications. - Sunita Sarawagi; Shiby Thomas; Rakesh Agrawal 001 (Data Min. Knowl. Discov., 2000)

Automatically Extracting Structure from Free Text Addresses. - Vinayak R. Borkar; Kaustubh Deshmukh; Sunita Sarawagi (IEEE Data Eng. Bull., 2000)

Editorial. - Paul S. Bradley; Usama M. Fayyad; Sunita Sarawagi; Kyuseok Shim (SIGKDD Explor., 2000)

Editorial. - Paul S. Bradley; Sunita Sarawagi; Usama M. Fayyad (SIGKDD Explor., 2000)

Data Mining Models as Services on the Internet. - Sunita Sarawagi; Sree Hari Nagaralu (SIGKDD Explor., 2000)

Reminiscences on Influential Papers. - Kenneth A. Ross; Charu C. Aggarwal; Alfons Kemper; Sunita Sarawagi; S. Sudarshan 001; Mihalis Yannakakis (SIGMOD Rec., 2000)

Automatic Segmentation of Text into Structured Records. - Vinayak R. Borkar; Kaustubh Deshmukh; Sunita Sarawagi (SIGMOD Conference, 2001)

Intelligent Rollups in Multidimensional OLAP Data. - Gayatri Sathe; Sunita Sarawagi (VLDB, 2001)

iDiff: Informative Summarization of Differences in Multidimensional Aggregates. - Sunita Sarawagi (Data Min. Knowl. Discov., 2001)

Letter from the Special Issue Editor. - Sunita Sarawagi (IEEE Data Eng. Bull., 2001)

User-cognizant multidimensional analysis. - Sunita Sarawagi (VLDB J., 2001)

Efficient Evaluation of Queries with Mining Predicates. - Surajit Chaudhuri; Vivek R. Narasayya; Sunita Sarawagi (ICDE, 2002)

Scaling multi-class support vector machines using inter-class confusion. - Shantanu Godbole; Sunita Sarawagi; Soumen Chakrabarti (KDD, 2002)

Interactive deduplication using active learning. - Sunita Sarawagi; Anuradha Bhamidipaty (KDD, 2002)

Automation in Information Extraction and Data Integration. - Sunita Sarawagi (VLDB, 2002)

ALIAS: An Active Learning led Interactive Deduplication System. - Sunita Sarawagi; Anuradha Bhamidipaty; Alok Kirpal; Chandra Mouli (VLDB, 2002)

Sequence Data Mining Techniques and Applications. - Sunita Sarawagi (ICDE, 2003)

Scaling up the ALIAS Duplicate Elimination System. - Sunita Sarawagi; Alok Kirpal (ICDE, 2003)

Cross-training: learning probabilistic mappings between topics. - Sunita Sarawagi; Soumen Chakrabarti; Shantanu Godbole (KDD, 2003)

Factorizing Complex Predicates in Queries to Exploit Indexes. - Surajit Chaudhuri; Prasanna Ganesan; Sunita Sarawagi (SIGMOD Conference, 2003)

Resolving citations in a paper repository. - Sunita Sarawagi; V. G. Vinod Vydiswaran; Sumana Srinivasan; Kapil Bhudhia (SIGKDD Explor., 2003)

Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. - William W. Cohen; Sunita Sarawagi (KDD, 2004)

Models and Indices for Integrating Unstructured Data with a Relational Database. - Sunita Sarawagi (KDID, 2004)

Semi-Markov Conditional Random Fields for Information Extraction. - Sunita Sarawagi; William W. Cohen (NIPS, 2004)

Discriminative Methods for Multi-labeled Classification. - Shantanu Godbole; Sunita Sarawagi (PAKDD, 2004)

Document Classification Through Interactive Supervision of Document and Term Labels. - Shantanu Godbole; Abhay Harpale; Sunita Sarawagi; Soumen Chakrabarti (PKDD, 2004)

HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels. - Shantanu Godbole; Abhay Harpale; Sunita Sarawagi; Soumen Chakrabarti (PKDD, 2004)

Efficient set joins on similarity predicates. - Sunita Sarawagi; Alok Kirpal (SIGMOD Conference, 2004)

Learning to extract information from large domain-specific websites using sequential models. - Sunita Sarawagi; V. G. Vinod Vydiswaran (SIGKDD Explor., 2004)

Extracting predicates from mining models for efficient query evaluation. - Surajit Chaudhuri; Vivek R. Narasayya; Sunita Sarawagi (ACM Trans. Database Syst., 2004)

Learning to extract information from large websites using sequential models. - V. G. Vinod Vydiswaran; Sunita Sarawagi (COMAD, 2005)

Text Classification with Evolving Label-Sets. - Shantanu Godbole; Ganesh Ramakrishnan; Sunita Sarawagi (ICDM, 2005)

Scalable Information Extraction and Integration. - Sunita Sarawagi (COMAD, 2006)

Efficient Batch Top-k Search for Dictionary-based Entity Recognition. - Amit Chandel; P. C. Nagesh; Sunita Sarawagi (ICDE, 2006)

Integrating Unstructured Data into Relational Databases. - Imran R. Mansuri; Sunita Sarawagi (ICDE, 2006)

Efficient inference on sequence segmentation models. - Sunita Sarawagi (ICML, 2006)

Record linkage: similarity measures and algorithms. - Nick Koudas; Sunita Sarawagi; Divesh Srivastava (SIGMOD Conference, 2006)

Creating Probabilistic Databases from Information Extraction Models. - Rahul Gupta; Sunita Sarawagi (VLDB, 2006)

Efficient inference with cardinality-based clique potentials. - Rahul Gupta; Ajit A. Diwan; Sunita Sarawagi (ICML, 2007)

Domain Adaptation of Conditional Probability Models Via Feature Subsetting. - Sandeepkumar Satpal; Sunita Sarawagi (PKDD, 2007)

Probabilistic Graphical Models and their Role in Databases. - Amol Deshpande; Sunita Sarawagi (VLDB, 2007)

Accurate max-margin training for structured output spaces. - Sunita Sarawagi; Rahul Gupta (ICML, 2008)

Information Extraction. - Sunita Sarawagi (Found. Trends Databases, 2008)

The Claremont report on database research. - Rakesh Agrawal 001; Anastasia Ailamaki; Philip A. Bernstein; Eric A. Brewer; Michael J. Carey 001; Surajit Chaudhuri; AnHai Doan; Daniela Florescu; Michael J. Franklin; Hector Garcia-Molina; Johannes Gehrke; Le Gruenwald; et al. (SIGMOD Rec., 2008)

Domain adaptation of information extraction models. - Rahul Gupta; Sunita Sarawagi (SIGMOD Rec., 2008)

Queries over Unstructured Data: Probabilistic Methods to the Rescue - (Keynote). - Sunita Sarawagi (BIRTE, 2009)

Querying for relations from the semi-structured Web. - Sunita Sarawagi (COMAD, 2009)

Efficient top-k count queries over imprecise duplicates. - Sunita Sarawagi; Vinay S. Deshpande; Sourabh Kasliwal (EDBT, 2009)

Generalized Collective Inference with Symmetric Clique Potentials - Rahul Gupta; Sunita Sarawagi; Ajit A. Diwan (CoRR, 2009)

Answering Table Augmentation Queries from Unstructured Lists on the Web. - Rahul Gupta; Sunita Sarawagi (Proc. VLDB Endow., 2009)

Answering Web Questions Using Structured Data - Dream or Reality? - Fernando Pereira; Anand Rajaraman; Sunita Sarawagi; William Tunstall-Pedoe; Gerhard Weikum; Alon Y. Halevy (Proc. VLDB Endow., 2009)

Column Segmentation. - Sunita Sarawagi (Encyclopedia of Database Systems, 2009)

MAP estimation in Binary MRFs via Bipartite Multi-cuts. - Sashank Jakkam Reddi; Sunita Sarawagi; Sundar Vishwanathan (NIPS, 2010)

Joint Structured Models for Extraction from Overlapping Sources - Rahul Gupta; Sunita Sarawagi (CoRR, 2010)

Enhancing Search with Structure. - Soumen Chakrabarti; Sunita Sarawagi; S. Sudarshan 001 (IEEE Data Eng. Bull., 2010)

Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials. - Rahul Gupta; Sunita Sarawagi; Ajit A. Diwan (J. Mach. Learn. Res., 2010)

Annotating and Searching Web Tables Using Entities, Types and Relationships. - Girija Limaye; Sunita Sarawagi; Soumen Chakrabarti (Proc. VLDB Endow., 2010)

Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited. - Rahul Gupta; Sunita Sarawagi (WSDM, 2011)

Letter from the Research Track Co-Chair. - Sunita Sarawagi (Proc. VLDB Endow., 2011)

Letter from the VLDB 2011 Research Track Co-Chair. - Sunita Sarawagi (Proc. VLDB Endow., 2011)

Active Evaluation of Classifiers on Large Datasets. - Namit Katariya; Arun Shankar Iyer; Sunita Sarawagi (ICDM, 2012)

Answering Table Queries on the Web using Column Keywords. - Rakesh Pimplikar; Sunita Sarawagi (Proc. VLDB Endow., 2012)

Data-based research at IIT Bombay. - Soumen Chakrabarti; Ganesh Ramakrishnan; Krithi Ramamritham; Sunita Sarawagi; S. Sudarshan 001 (SIGMOD Rec., 2013)

Special issue on best papers of VLDB 2011. - Wolfgang Lehner; Sunita Sarawagi (VLDB J., 2013)

Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection. - Arun Shankar Iyer; J. Saketha Nath; Sunita Sarawagi (ICML, 2014)

Open-domain quantity queries on web tables: annotation, response, and consensus models. - Sunita Sarawagi; Soumen Chakrabarti (KDD, 2014)

A few good predictions: selective node labeling in a social network. - Gaurish Chaudhari; Vashist Avadhanula; Sunita Sarawagi (WSDM, 2014)

Mining Subjective Properties on the Web. - Immanuel Trummer; Alon Y. Halevy; Hongrae Lee; Sunita Sarawagi; Rahul Gupta (SIGMOD Conference, 2015)

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

Length bias in Encoder Decoder Models and a Case for Global Conditioning. - Pavel Sountsov; Sunita Sarawagi (EMNLP, 2016)

Privacy-preserving Class Ratio Estimation. - Arun Shankar Iyer; J. Saketha Nath; Sunita Sarawagi (KDD, 2016)

Discovering Structure in the Universe of Attribute Names. - Alon Y. Halevy; Natalya Fridman Noy; Sunita Sarawagi; Steven Euijong Whang; Xiao Yu (WWW, 2016)

Occurrence Statistics of Entities, Relations and Types on the Web. - Aman Madaan; Sunita Sarawagi (CoRR, 2016)

Label Organized Memory Augmented Neural Network. - Shiv Shankar; Sunita Sarawagi (CoRR, 2017)

Labeled Memory Networks for Online Model Adaptation. - Shiv Shankar; Sunita Sarawagi (AAAI, 2018)

Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. - Shiv Shankar; Siddhant Garg; Sunita Sarawagi (EMNLP, 2018)

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

Trainable Calibration Measures For Neural Networks From Kernel Mean Embeddings. - Aviral Kumar; Sunita Sarawagi; Ujjwal Jain (ICML, 2018)

ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting. - Srayanta Mukherjee; Devashish Shankar; Atin Ghosh; Nilam Tathawadekar; Pramod Kompalli; Sunita Sarawagi; Krishnendu Chaudhury (CoRR, 2018)

Column Segmentation. - Sunita Sarawagi (Encyclopedia of Database Systems (2nd ed.), 2018)

Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. - Vihari Piratla; Sunita Sarawagi; Soumen Chakrabarti (ACL (1), 2019)

Continual Learning with Neural Networks: A Review. - Abhijeet Awasthi; Sunita Sarawagi (COMAD/CODS, 2019)

Parallel Iterative Edit Models for Local Sequence Transduction. - Abhijeet Awasthi; Sunita Sarawagi; Rasna Goyal; Sabyasachi Ghosh; Vihari Piratla (EMNLP/IJCNLP (1), 2019)

Posterior Attention Models for Sequence to Sequence Learning. - Shiv Shankar; Sunita Sarawagi (ICLR (Poster), 2019)

Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units. - Prathamesh Deshpande; Sunita Sarawagi (KDD, 2019)

Calibration of Encoder Decoder Models for Neural Machine Translation. - Aviral Kumar; Sunita Sarawagi (CoRR, 2019)

Data Programming using Continuous and Quality-Guided Labeling Functions. - Oishik Chatterjee; Ganesh Ramakrishnan; Sunita Sarawagi (CoRR, 2019)

Robust Data Programming with Precision-guided Labeling Functions. - Oishik Chatterjee; Ganesh Ramakrishnan; Sunita Sarawagi (AAAI, 2020)

NLP Service APIs and Models for Efficient Registration of New Clients. - Sahil Shah; Vihari Piratla; Soumen Chakrabarti; Sunita Sarawagi (EMNLP (Findings), 2020)

Learning from Rules Generalizing Labeled Exemplars. - Abhijeet Awasthi; Sabyasachi Ghosh; Rasna Goyal; Sunita Sarawagi (ICLR, 2020)

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

Black-Box Adaptation of ASR for Accented Speech. - Kartik Khandelwal; Preethi Jyothi; Abhijeet Awasthi; Sunita Sarawagi (INTERSPEECH, 2020)

What's in a Name? Are BERT Named Entity Representations just as Good for any other Name? - Sriram Balasubramanian; Naman Jain; Gaurav Jindal; Abhijeet Awasthi; Sunita Sarawagi (RepL4NLP@ACL, 2020)

Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. - Yash Khemchandani; Sarvesh Mehtani; Vaidehi Patil; Abhijeet Awasthi; Partha P. Talukdar; Sunita Sarawagi (ACL/IJCNLP (1), 2021)

Error-Driven Fixed-Budget ASR Personalization for Accented Speakers. - Abhijeet Awasthi; Aman Kansal; Sunita Sarawagi; Preethi Jyothi (ICASSP, 2021)

Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration. - Shreya Khare; Ashish R. Mittal; Anuj Diwan; Sunita Sarawagi; Preethi Jyothi; Samarth Bharadwaj (Interspeech, 2021)

Training Data Augmentation for Code-Mixed Translation. - Abhirut Gupta; Aditya Vavre; Sunita Sarawagi (NAACL-HLT, 2021)

Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time. - Anshul Nasery; Soumyadeep Thakur; Vihari Piratla; 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)

Long Horizon Forecasting with Temporal Point Processes. - Prathamesh Deshpande; Kamlesh Marathe; Abir De; Sunita Sarawagi (WSDM, 2021)

Long Range Probabilistic Forecasting in Time-Series using High Order Statistics. - Prathamesh Deshpande; Sunita Sarawagi (CoRR, 2021)

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

Deep Indexed Active Learning for Matching Heterogeneous Entity Representations. - Arjit Jain; Sunita Sarawagi; Prithviraj Sen (Proc. VLDB Endow., 2021)

Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding. - Soumya Chatterjee 002; Sunita Sarawagi; Preethi Jyothi (ACL (1), 2022)

Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. - Vaidehi Patil; Partha P. Talukdar; Sunita Sarawagi (ACL (1), 2022)

Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers. - Abhijeet Awasthi; Ashutosh Sathe; Sunita Sarawagi (EMNLP, 2022)

Quality Scoring of Source Words in Neural Translation Models. - Priyesh Jain; Sunita Sarawagi; Tushar Tomar (EMNLP, 2022)

Adapting Multilingual Models for Code-Mixed Translation. - Aditya Vavre; Abhirut Gupta; Sunita Sarawagi (EMNLP (Findings), 2022)

Adaptive Discounting of Implicit Language Models in RNN-Transducers. - Vinit Unni; Shreya Khare; Ashish R. Mittal; Preethi Jyothi; Sunita Sarawagi; Samarth Bharadwaj (ICASSP, 2022)

Focus on the Common Good: Group Distributional Robustness Follows. - Vihari Piratla; Praneeth Netrapalli; Sunita Sarawagi (ICLR, 2022)

Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts. - Prathamesh Deshpande; Sunita Sarawagi (IJCAI, 2022)

Learning Recourse on Instance Environment to Enhance Prediction Accuracy. - Lokesh Nagalapatti; Guntakanti Sai Koushik; Abir De; Sunita Sarawagi (NeurIPS, 2022)

AI and data science centers in top Indian academic institutions. - Balaraman Ravindran; Sunita Sarawagi; Aditi Jain (Commun. ACM, 2022)

Bootstrapping Multilingual Semantic Parsers using Large Language Models. - Abhijeet Awasthi; Nitish Gupta; Bidisha Samanta; Shachi Dave; Sunita Sarawagi; Partha P. Talukdar (CoRR, 2022)

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

Bootstrapping Multilingual Semantic Parsers using Large Language Models. - Abhijeet Awasthi; Nitish Gupta; Bidisha Samanta; Shachi Dave; Sunita Sarawagi; Partha Talukdar (EACL, 2023)

Benchmarking and Improving Text-to-SQL Generation under Ambiguity. - Adithya Bhaskar; Tushar Tomar; Ashutosh Sathe; Sunita Sarawagi (EMNLP, 2023)

CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL. - Mayank Kothyari; Dhruva Dhingra; Sunita Sarawagi; Soumen Chakrabarti (EMNLP, 2023)

Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. - Ashish R. Mittal; Sunita Sarawagi; Preethi Jyothi; George Saon; Gakuto Kurata (EMNLP, 2023)

Modern AI for Analyzing Large Structured Databases: Opportunities and Challenges. - Sunita Sarawagi (HiPC, 2023)

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

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

Improving RNN-Transducers with Acoustic LookAhead. - Vinit S. Unni; Ashish R. Mittal; Preethi Jyothi; Sunita Sarawagi (INTERSPEECH, 2023)

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

Efficient Training of Language Models with Compact and Consistent Next Token Distributions. - Ashutosh Sathe; Sunita Sarawagi (ACL (Findings), 2024)

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

SALSA: Speedy ASR-LLM Synchronous Aggregation. - Ashish R. Mittal; Darshan Prabhu; Sunita Sarawagi; Preethi Jyothi (INTERSPEECH, 2024)

Text-to-SQL Calibration: No Need to Ask - Just Rescale Model Probabilities. - Ashwin Ramachandran; Sunita Sarawagi (CoRR, 2024)

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

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

Robust Root Cause Diagnosis using In-Distribution Interventions. - Lokesh Nagalapatti; Ashutosh Srivastava; Sunita Sarawagi; Amit Sharma (ICLR, 2025)

Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing. - Mayank Kothyari; Sunita Sarawagi; Soumen Chakrabarti; Gaurav Arora; Srujana Merugu (NAACL (Long Papers), 2025)

Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE. - Lokesh Nagalapatti; Pranava Singhal; Avishek Ghosh; Sunita Sarawagi (Trans. Mach. Learn. Res., 2025)