Lokesh Nagalapatti

27 papers A* 11A 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
From Search To Sampling: Generative Models For Robust Algorithmic Recourse.
CoRR
Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi
2025 A* conf
From Search to Sampling: Generative Models for Robust Algorithmic Recourse.
ICLR
Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi
2025 J jnl
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE.
CoRR
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
2025 J jnl
Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE.
Trans. Mach. Learn. Res.
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
2025 J jnl
Realizing LLMs' Causal Potential Requires Science-Grounded, Novel Benchmarks.
CoRR
Ashutosh Srivastava, Lokesh Nagalapatti, Gautam Jajoo, Aniket Vashishtha, Parameswari Krishnamurthy, Amit Sharma
2025 A* conf
Robust Root Cause Diagnosis using In-Distribution Interventions.
ICLR
Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma
2025 J jnl
Robust Root Cause Diagnosis using In-Distribution Interventions.
CoRR
Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma
2025 A* conf
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights.
AAAI
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi, Ramasuri Narayanam, Shiv Kumar Saini
2025 J jnl
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights.
CoRR
Manisha Padala, Lokesh Nagalapatti, Atharv Tyagi, Ramasuri Narayanam, Shiv Kumar Saini
2024 A* conf
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing.
AAAI
Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
2024 J jnl
Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing.
CoRR
Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi
2024 A conf
Gradient Coreset for Federated Learning.
WACV
Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
2024 J jnl
Gradient Coreset for Federated Learning.
CoRR
Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh K. Iyer, Ganesh Ramakrishnan
2024 A* conf
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect.
ICML
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
2024 J jnl
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect.
CoRR
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi
2023 J jnl
A Data-centric AI Framework for Automating Exploratory Data Analysis and Data Quality Tasks.
ACM J. Data Inf. Qual.
Hima Patel, Shanmukha C. Guttula, Nitin Gupta, Sandeep Hans, Ruhi Sharma Mittal, Lokesh Nagalapatti
2022 A* conf
Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning.
AAAI
Lokesh Nagalapatti, Ruhi Sharma Mittal, Ramasuri Narayanam
2022 A* conf
Learning Recourse on Instance Environment to Enhance Prediction Accuracy.
NeurIPS
Lokesh Nagalapatti, Guntakanti Sai Koushik, Abir De, Sunita Sarawagi
2021 — conf
Data Augmentation for Fairness in Personal Knowledge Base Population.
PAKDD (Workshops)
Lingraj S. Vannur, Balaji Ganesan, Lokesh Nagalapatti, Hima Patel, M. N. Tippeswamy
2021 J jnl
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets.
CoRR
Nitin Gupta, Hima Patel, Shazia Afzal, Naveen Panwar, Ruhi Sharma Mittal, Shanmukha C. Guttula, Abhinav Jain, Lokesh Nagalapatti, Sameep Mehta, Sandeep Hans, Pranay Lohia, Aniya Aggarwal, Diptikalyan Saha
2021 A* conf
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning.
AAAI
Lokesh Nagalapatti, Ramasuri Narayanam
2021 J jnl
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning.
CoRR
Lokesh Nagalapatti, Ramasuri Narayanam
2021 A* conf
Ranking Data Slices for ML Model Validation: A Shapley Value Approach.
ICDE
Eitan Farchi, Ramasuri Narayanam, Lokesh Nagalapatti
2020 J jnl
Data Augmentation for Personal Knowledge Graph Population.
CoRR
Lingraj S. Vannur, Lokesh Nagalapatti, Balaji Ganesan, Hima Patel
2020 A* conf
Overview and Importance of Data Quality for Machine Learning Tasks.
KDD
Abhinav Jain, Hima Patel, Lokesh Nagalapatti, Nitin Gupta, Sameep Mehta, Shanmukha C. Guttula, Shashank Mujumdar, Shazia Afzal, Ruhi Sharma Mittal, Vitobha Munigala
2019 A* conf
Outlier Aware Network Embedding for Attributed Networks.
AAAI
Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty
2018 J jnl
Outlier Aware Network Embedding for Attributed Networks.
CoRR
Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty