Raghuveer, Aravindan

11 publications

UAI 2025 Aggregating Data for Optimal Learning Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer

UAI 2025 Learning from Label Proportions and Covariate-Shifted Instances Sagalpreet Singh, Navodita Sharma, Shreyas Havaldar, Rishi Saket, Aravindan Raghuveer

TMLR 2025 Preserving Expert-Level Privacy in Offline Reinforcement Learning Navodita Sharma, Vishnu Vinod, Abhradeep Guha Thakurta, Alekh Agarwal, Borja Balle, Christoph Dann, Aravindan Raghuveer

NeurIPSW 2024 Aggregating Data for Optimal and Private Learning Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer

NeurIPSW 2024 FRACTAL: Fine-Grained Scoring from Aggregate Text Labels Yukti Makhija, Priyanka Agrawal, Rishi Saket, Aravindan Raghuveer

AAAI 2024 Fairness Under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam, Jay Nandy, Aravindan Raghuveer

UAI 2024 Generalization and Learnability in Multiple Instance Regression Kushal Chauhan, Rishi Saket, Lorne Applebaum, Ashwinkumar Badanidiyuru, Chandan Giri, Aravindan Raghuveer

ICLR 2024 Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer

NeurIPSW 2023 Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation Shreyas Havaldar, Navodita Sharma, Shubhi Sareen, Karthikeyan Shanmugam, Aravindan Raghuveer

NeurIPS 2023 PAC Learning Linear Thresholds from Label Proportions Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer

AISTATS 2022 On Combining Bags to Better Learn from Label Proportions Rishi Saket, Aravindan Raghuveer, Balaraman Ravindran