Aditya Gangrade

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Top Venues

Publications

Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott
Testing the Feasibility of Linear Programs with Bandit Feedback. CoRR (2024)
Aditya Gangrade, Tianrui Chen, Venkatesh Saligrama
Safe Linear Bandits over Unknown Polytopes. COLT (2024)
Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
Scaffolding a Student to Instill Knowledge. ICLR (2023)
Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas
Counterfactually Comparing Abstaining Classifiers. NeurIPS (2023)
Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama
Efficient Edge Inference by Selective Query. ICLR (2023)
Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas
Counterfactually Comparing Abstaining Classifiers. CoRR (2023)
Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
A Doubly Optimistic Strategy for Safe Linear Bandits. CoRR (2022)
Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. ICML (2022)
Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. CoRR (2022)
Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama
Online Selective Classification with Limited Feedback. CoRR (2021)
Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama
Online Selective Classification with Limited Feedback. NeurIPS (2021)
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
Selective Classification via One-Sided Prediction. AISTATS (2021)
Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
Piecewise Linear Regression via a Difference of Convex Functions. CoRR (2020)
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Limits on Testing Structural Changes in Ising Models. CoRR (2020)
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
Selective Classification via One-Sided Prediction. CoRR (2020)
Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
Budget Learning via Bracketing. AISTATS (2020)
Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
Piecewise Linear Regression via a Difference of Convex Functions. ICML (2020)
Aditya Gangrade, Durmus Alp Emre Acar, Venkatesh Saligrama
Budget Learning via Bracketing. CoRR (2020)
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Limits on Testing Structural Changes in Ising Models. NeurIPS (2020)
Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models. NeurIPS (2019)
Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama
Testing Changes in Communities for the Stochastic Block Model. CoRR (2018)
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Two-Sample Testing can be as Hard as Structure Learning in Ising Models: Minimax Lower Bounds. ICASSP (2018)
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models. CoRR (2017)
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Lower bounds for two-sample structural change detection in ising and Gaussian models. Allerton (2017)