Aravindan Raghuveer

According to our database, Aravindan Raghuveer authored at least 31 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Aggregating Data for Optimal and Private Learning.

Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer

CoRR, 2024

Preserving Expert-Level Privacy in Offline Reinforcement Learning.

Navodita Sharma, Vishnu Vinod, Abhradeep Thakurta, Alekh Agarwal, Borja Balle, Christoph Dann, Aravindan Raghuveer

CoRR, 2024

FRACTAL: Fine-Grained Scoring from Aggregate Text Labels.

Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer

CoRR, 2024

Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation.

Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions.

Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

DIMSIM: Distilled Multilingual Critics for Indic Text Simplification.

Sneha Mondal, Ritika, Ashish Agrawal, Preethi Jyothi, Aravindan Raghuveer

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Label Differential Privacy via Aggregation.

Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar, Anshul Nasery, Aravindan Raghuveer

CoRR, 2023

Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift.

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer

CoRR, 2023

BiPhone: Modeling Inter Language Phonetic Influences in Text.

Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer

CoRR, 2023

STOAT: Structured Data to Analytical Text With Controls.

Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer

CoRR, 2023

PAC Learning Linear Thresholds from Label Proportions.

Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ReTAG: Reasoning Aware Table to Analytic Text Generation.

Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets.

Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Bi-Phone: Modeling Inter Language Phonetic Influences in Text.

Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Walking with PACE - Personalized and Automated Coaching Engine.

Madhurima Vardhan, Narayan Hegde, Srujana Merugu, Shantanu Prabhat, Deepak Nathani, Martin Seneviratne, Nur Muhammad, Pranay Reddy, Sriram Lakshminarasimhan, Rahul Singh, Karina Lorenzana, Eshan Motwani, Partha Talukdar, Aravindan Raghuveer

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Multi-Variate Time Series Forecasting on Variable Subsets.

Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation.

Sneha Mondal, Ritika, Shreya Pathak, Preethi Jyothi, Aravindan Raghuveer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation.

Anubhav Jangra, Preksha Nema, Aravindan Raghuveer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Domain-Agnostic Contrastive Representations for Learning from Label Proportions.

Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

On Combining Bags to Better Learn from Label Proportions.

Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints.

Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2018

Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks.

Djordje Gligorijevic, Jelena Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2011

WOOster: A Map-Reduce based Platform for Graph Mining.

Aravindan Raghuveer

Proceedings of the 17th International Conference on Management of Data, 2011

Automated Content Labeling using Context in Email.

Aravindan Raghuveer

Proceedings of the 17th International Conference on Management of Data, 2011

2010

StatStream: providing statistical reliability guarantees in peer-to-peer live video streaming.

Aravindan Raghuveer, Yingfei Dong, David Hung-Chang Du

Int. J. Adv. Media Commun., 2010

2007

A Network-Aware Approach for Video and Metadata Streaming.

Aravindan Raghuveer, Ewa Kusmierek, David Hung-Chang Du

IEEE Trans. Circuits Syst. Video Technol., 2007

Enabling database-aware storage with OSD.

Aravindan Raghuveer, Steven W. Schlosser, Sami Iren

Proceedings of the 24th IEEE Conference on Mass Storage Systems and Technologies (MSST 2007), 2007

Towards efficient search on unstructured data: an intelligent-storage approach.

Aravindan Raghuveer, Meera Jindal, Mohamed F. Mokbel, Biplob K. Debnath, David Hung-Chang Du

Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2005

Techniques for efficient stream of layered video in heterogeneous client environments.

Aravindan Raghuveer, Nam Oh Kang, David H. C. Du

Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005

2004

Network-aware rate adaptation for video streaming.

Aravindan Raghuveer, Ewa Kusmierek, David Hung-Chang Du

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004