Saket, Rishi

13 publications

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

UAI 2025 Learning Algorithms for Multiple Instance Regression Aaryan Gupta, Rishi Saket

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

UAI 2025 Weak to Strong Learning from Aggregate Labels Yukti Makhija, Rishi Saket

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

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

NeurIPSW 2024 Weak to Strong Learning from Aggregate Labels Yukti Makhija, Rishi Saket

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

NeurIPS 2022 Algorithms and Hardness for Learning Linear Thresholds from Label Proportions Rishi Saket

NeurIPS 2021 Learnability of Linear Thresholds from Label Proportions Rishi Saket

COLT 2018 Hardness of Learning Noisy Halfspaces Using Polynomial Thresholds Arnab Bhattacharyya, Suprovat Ghoshal, Rishi Saket