Aravindan Raghuveer

48 papers A* 8A 10B 1Misc 3Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Location Aware Embedding for Geotargeting in Sponsored Search Advertising. CoRR Jelena Gligorijevic, Djordje Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic
2025	J	`jnl`	A Personalized Exercise Assistant using Reinforcement Learning (PEARL): Results from a four-arm Randomized-controlled Trial. CoRR Amy A. Lee, Narayan Hegde, Nina Deliu, Emily Rosenzweig, Arun Suggala, Sriram Lakshminarasimhan, Qian He, John Hernandez, Martin Seneviratne, Rahul Singh, Pradnesh Kalkar, Karthikeyan Shanmugam, Aravindan Raghuveer, Abhimanyu Singh, My Nguyen, James Taylor, Jatin Alla, Sofia S. Villar, Hülya Emir-Farinas
2025	A	`conf`	Aggregating Data for Optimal Learning. UAI Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer
2025	J	`jnl`	Algorithmic Guarantees for Distilling Supervised and Offline RL Datasets. CoRR Aaryan Gupta, Rishi Saket, Aravindan Raghuveer
2025	J	`jnl`	Dense and Diverse Goal Coverage in Multi Goal Reinforcement Learning. CoRR Sagalpreet Singh, Rishi Saket, Aravindan Raghuveer
2025	—	`conf`	FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. ACL (1) Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer
2025	A	`conf`	Learning from Label Proportions and Covariate-shifted Instances. UAI Sagalpreet Singh, Navodita Sharma, Shreyas Havaldar, Rishi Saket, Aravindan Raghuveer
2025	J	`jnl`	Preserving Expert-Level Privacy in Offline Reinforcement Learning. Trans. Mach. Learn. Res. Navodita Sharma, Vishnu Vinod, Abhradeep Guha Thakurta, Alekh Agarwal, Borja Balle, Christoph Dann, Aravindan Raghuveer
2025	J	`jnl`	Robust Reward Modeling via Causal Rubrics. CoRR Pragya Srivastava, Harman Singh, Rahul Madhavan, Gandharv Patil, Sravanti Addepalli, Arun Suggala, Rengarajan Aravamudhan, Soumya Sharma, Anirban Laha, Aravindan Raghuveer, Karthikeyan Shanmugam, Doina Precup
2024	J	`jnl`	Aggregating Data for Optimal and Private Learning. CoRR Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer
2024	—	`conf`	DIMSIM: Distilled Multilingual Critics for Indic Text Simplification. ACL (Findings) Sneha Mondal, Ritika, Ashish Agrawal, Preethi Jyothi, Aravindan Raghuveer
2024	J	`jnl`	FRACTAL: Fine-Grained Scoring from Aggregate Text Labels. CoRR Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer
2024	A*	`conf`	Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples. AAAI Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer
2024	A	`conf`	Generalization and Learnability in Multiple Instance Regression. UAI Kushal Chauhan, Rishi Saket, Lorne Applebaum, Ashwinkumar Badanidiyuru, Chandan Giri, Aravindan Raghuveer
2024	A	`conf`	LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions. CIKM Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer
2024	J	`jnl`	Learning from Label Proportions and Covariate-shifted Instances. CoRR Sagalpreet Singh, Navodita Sharma, Shreyas Havaldar, Rishi Saket, Aravindan Raghuveer
2024	A*	`conf`	Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation. ICLR Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer
2024	J	`jnl`	Preserving Expert-Level Privacy in Offline Reinforcement Learning. CoRR Navodita Sharma, Vishnu Vinod, Abhradeep Thakurta, Alekh Agarwal, Borja Balle, Christoph Dann, Aravindan Raghuveer
2023	—	`conf`	Bi-Phone: Modeling Inter Language Phonetic Influences in Text. ACL (1) Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer
2023	J	`jnl`	BiPhone: Modeling Inter Language Phonetic Influences in Text. CoRR Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James S. Ren, Ambarish Jash, Sukhdeep S. Sodhi, Aravindan Raghuveer
2023	J	`jnl`	Improving Fairness-Accuracy tradeoff with few Test Samples under Covariate Shift. CoRR Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer
2023	J	`jnl`	LLP-Bench: A Large Scale Tabular Benchmark for Learning from Label Proportions. CoRR Anand Brahmbhatt, Mohith Pokala, Rishi Saket, Aravindan Raghuveer
2023	J	`jnl`	Label Differential Privacy via Aggregation. CoRR Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar, Anshul Nasery, Aravindan Raghuveer
2023	J	`jnl`	Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation. CoRR Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer
2023	A	`conf`	Non-Uniform Adversarial Perturbations for Discrete Tabular Datasets. CIKM Jay Nandy, Jatin Chauhan, Rishi Saket, Aravindan Raghuveer
2023	A*	`conf`	PAC Learning Linear Thresholds from Label Proportions. NeurIPS Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer
2023	J	`jnl`	PAC Learning Linear Thresholds from Label Proportions. CoRR Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer
2023	A*	`conf`	ReTAG: Reasoning Aware Table to Analytic Text Generation. EMNLP Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer
2023	J	`jnl`	STOAT: Structured Data to Analytical Text With Controls. CoRR Deepanway Ghosal, Preksha Nema, Aravindan Raghuveer
2022	A*	`conf`	CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation. EMNLP Sneha Mondal, Ritika, Shreya Pathak, Preethi Jyothi, Aravindan Raghuveer
2022	A	`conf`	Domain-Agnostic Contrastive Representations for Learning from Label Proportions. CIKM Jay Nandy, Rishi Saket, Prateek Jain, Jatin Chauhan, Balaraman Ravindran, Aravindan Raghuveer
2022	A*	`conf`	Multi-Variate Time Series Forecasting on Variable Subsets. KDD Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
2022	J	`jnl`	Multi-Variate Time Series Forecasting on Variable Subsets. CoRR Jatin Chauhan, Aravindan Raghuveer, Rishi Saket, Jay Nandy, Balaraman Ravindran
2022	A	`conf`	On Combining Bags to Better Learn from Label Proportions. AISTATS Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran
2022	A*	`conf`	T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. EMNLP Anubhav Jangra, Preksha Nema, Aravindan Raghuveer
2022	J	`jnl`	T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation. CoRR Anubhav Jangra, Preksha Nema, Aravindan Raghuveer
2022	A	`conf`	Walking with PACE - Personalized and Automated Coaching Engine. UMAP 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
2021	—	`conf`	HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints. EMNLP (1) Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer
2021	J	`jnl`	HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints. CoRR Sahana Ramnath, Melvin Johnson, Abhirut Gupta, Aravindan Raghuveer
2018	A*	`conf`	Modeling Mobile User Actions for Purchase Recommendation using Deep Memory Networks. SIGIR Djordje Gligorijevic, Jelena Gligorijevic, Aravindan Raghuveer, Mihajlo Grbovic, Zoran Obradovic
2011	Misc	`conf`	Automated Content Labeling using Context in Email. COMAD Aravindan Raghuveer
2011	Misc	`conf`	WOOster: A Map-Reduce based Platform for Graph Mining. COMAD Aravindan Raghuveer
2010	J	`jnl`	StatStream: providing statistical reliability guarantees in peer-to-peer live video streaming. Int. J. Adv. Media Commun. Aravindan Raghuveer, Yingfei Dong, David Hung-Chang Du
2007	J	`jnl`	A Network-Aware Approach for Video and Metadata Streaming. IEEE Trans. Circuits Syst. Video Technol. Aravindan Raghuveer, Ewa Kusmierek, David Hung-Chang Du
2007	Misc	`conf`	Enabling database-aware storage with OSD. MSST Aravindan Raghuveer, Steven W. Schlosser, Sami Iren
2007	A	`conf`	Towards efficient search on unstructured data: an intelligent-storage approach. CIKM Aravindan Raghuveer, Meera Jindal, Mohamed F. Mokbel, Biplob K. Debnath, David Hung-Chang Du
2005	B	`conf`	Techniques for efficient stream of layered video in heterogeneous client environments. GLOBECOM Aravindan Raghuveer, Nam Oh Kang, David H. C. Du
2004	A	`conf`	Network-aware rate adaptation for video streaming. ICME Aravindan Raghuveer, Ewa Kusmierek, David Hung-Chang Du