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Kush Bhatia

Sparse local embeddings for extreme multi-label classification
2015 · Kush Bhatia, Himanshu Jain, et al. · neural information processing systems · 292
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
2019 · Kusupati, Aditya, Singh, Manish, et al. · arXiv (Cornell University) · 116
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Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems
2018 · Malik, Dhruv, Pananjady, Ashwin, et al. · arXiv (Cornell University) · 112
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Robust Regression via Hard Thresholding
2015 · Bhatia, Kush, Jain, Prateek, et al. · arXiv (Cornell University) · 94
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Establishing Appropriate Trust via Critical States
2018 · Sandy H. Huang, Kush Bhatia, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 93
Ask Me Anything: A simple strategy for prompting language models
2022 · Arora, Simran, Narayan, Avanika, et al. · arXiv (Cornell University) · 84
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Politex: Regret Bounds for Policy Iteration using Expert Prediction
2019 · Yasin Abbasi-Yadkori, Peter L. Bartlett, et al. · International Conference on Machine Learning · 49
Consistent Robust Regression
2017 · Kush Bhatia, Prateek Jain, et al. · neural information processing systems · 46
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
2022 · Pan, Alexander, Bhatia, Kush, et al. · arXiv (Cornell University) · 25
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Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression
2019 · Suggala, Arun Sai, Bhatia, Kush, et al. · arXiv (Cornell University) · 24
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Bayesian Robustness: A Nonasymptotic Viewpoint
2023 · Kush Bhatia, Yi-An Ma, et al. · Journal of the American Statistical Association · 7
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TART: A plug-and-play Transformer module for task-agnostic reasoning
2023 · Kush Bhatia, Avanika Narayan, et al. · neural information processing systems · 7
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Lazy Generic Cuts
2016 · Dinesh Khandelwal, Kush Bhatia, et al. · Computer Vision and Image Understanding · 7
Skill-it! A data-driven skills framework for understanding and training language models
2023 · Mayee Chen, Nicholas Roberts, et al. · neural information processing systems · 6
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Explaining robot policies
2021 · Olivia Watkins, Sandy Huang, et al. · Applied AI Letters · 6
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Online learning with dynamics: A minimax perspective
2020 · Bhatia, Kush, Sridharan, Karthik · arXiv (Cornell University) · 6
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Locally Non-linear Embeddings for Extreme Multi-label Learning
2015 · Bhatia, Kush, Jain, Himanshu, et al. · arXiv (Cornell University) · 6
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Gen-Oja: Simple & Efficient Algorithm for Streaming Generalized Eigenvector Computation
2018 · Kush Bhatia, Aldo Pacchiano, et al. · arXiv (Cornell University) · 5
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification
2023 · Neel Guha, Mayee Chen, et al. · neural information processing systems · 4
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Preference learning along multiple criteria: A game-theoretic perspective
2021 · Bhatia, Kush, Pananjady, Ashwin, et al. · arXiv (Cornell University) · 4
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SuperHF: Supervised Iterative Learning from Human Feedback
2023 · Mukobi, Gabriel, Chatain, Peter, et al. · arXiv (Cornell University) · 2
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A case for reframing automated medical image classification as segmentation
2023 · Sarah Hooper, Mayee Chen, et al. · neural information processing systems · 2
Agnostic learning with unknown utilities
2021 · Bhatia, Kush, Bartlett, Peter L., et al. · arXiv (Cornell University) · 2
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Establishing Appropriate Trust via Critical States
2018 · Huang, Sandy H., Bhatia, Kush, et al. · arXiv (Cornell University) · 2
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Gen-Oja: A Simple and Efficient Algorithm for Streaming Generalized Eigenvector Computation
2018 · Kush Bhatia, Aldo Pacchiano, et al. · arXiv (Cornell University) · 1
Works count: 36
Citation count: 1,002
H-index: 10
I10-index: 10
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