Gupta, Neha

10 publications

ICLR 2025 Faster Cascades via Speculative Decoding Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Seungyeon Kim, Neha Gupta, Aditya Krishna Menon, Sanjiv Kumar
ICLR 2024 Language Model Cascades: Token-Level Uncertainty and Beyond Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
ICLR 2024 Learning to Reject Meets Long-Tail Learning Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Neha Gupta, Sanjiv Kumar
NeurIPS 2023 When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum, Neha Gupta, Aditya K Menon, Harikrishna Narasimhan, Ankit Rawat, Sanjiv Kumar
TMLR 2022 Ensembles of Classifiers: A Bias-Variance Perspective Neha Gupta, Jamie Smith, Ben Adlam, Zelda E Mariet
COLT 2020 Active Local Learning Arturs Backurs, Avrim Blum, Neha Gupta
NeurIPS 2020 Estimating Decision Tree Learnability with Polylogarithmic Sample Complexity Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan
COLT 2020 Implicit Regularization for Deep Neural Networks Driven by an Ornstein-Uhlenbeck like Process Guy Blanc, Neha Gupta, Gregory Valiant, Paul Valiant
NeurIPS 2020 Universal Guarantees for Decision Tree Induction via a Higher-Order Splitting Criterion Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan
NeurIPS 2018 Exploiting Numerical Sparsity for Efficient Learning : Faster Eigenvector Computation and Regression Neha Gupta, Aaron Sidford