Gangrade, Aditya

18 publications

NeurIPS 2025 Constrained Linear Thompson Sampling Aditya Gangrade, Venkatesh Saligrama

ICML 2025 Feasible Action Search for Bandit Linear Programs via Thompson Sampling Aditya Gangrade, Aldo Pacchiano, Clayton Scott, Venkatesh Saligrama

NeurIPS 2025 Linear Transformers Implicitly Discover Unified Numerical Algorithms Patrick Lutz, Aditya Gangrade, Hadi Daneshmand, Venkatesh Saligrama

CVPR 2025 SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models Kevin Miller, Aditya Gangrade, Samarth Mishra, Kate Saenko, Venkatesh Saligrama

NeurIPS 2024 Label Noise: Ignorance Is Bliss Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott

NeurIPSW 2024 Label Noise: Ignorance Is Bliss Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott

COLT 2024 Safe Linear Bandits over Unknown Polytopes Aditya Gangrade, Tianrui Chen, Venkatesh Saligrama

ICML 2024 Testing the Feasibility of Linear Programs with Bandit Feedback Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott

NeurIPS 2023 Counterfactually Comparing Abstaining Classifiers Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas

ICLR 2023 Efficient Edge Inference by Selective Query Anil Kag, Igor Fedorov, Aditya Gangrade, Paul Whatmough, Venkatesh Saligrama

ICLR 2023 Scaffolding a Student to Instill Knowledge Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama

ICML 2022 Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama

AISTATS 2021 Selective Classification via One-Sided Prediction Aditya Gangrade, Anil Kag, Venkatesh Saligrama

NeurIPS 2021 Online Selective Classification with Limited Feedback Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama

AISTATS 2020 Budget Learning via Bracketing Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama

NeurIPS 2020 Limits on Testing Structural Changes in Ising Models Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama

ICML 2020 Piecewise Linear Regression via a Difference of Convex Functions Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama

NeurIPS 2019 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama