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Kush Bhatia
Kush Bhatia
Google Deepmind
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Sparse local embeddings for extreme multi-label classification
K Bhatia, H Jain, P Kar, M Varma, P Jain
Advances in neural information processing systems 28, 2015
5582015
Fastgrnn: A fast, accurate, stable and tiny kilobyte sized gated recurrent neural network
A Kusupati, M Singh, K Bhatia, A Kumar, P Jain, M Varma
Advances in neural information processing systems 31, 2018
2402018
Derivative-free methods for policy optimization: Guarantees for linear quadratic systems
D Malik, A Pananjady, K Bhatia, K Khamaru, PL Bartlett, MJ Wainwright
Journal of Machine Learning Research 21 (21), 1-51, 2020
2192020
The extreme classification repository: Multi-label datasets and code
K Bhatia, K Dahiya, H Jain, P Kar, A Mittal, Y Prabhu, M Varma
URL http://manikvarma. org/downloads/XC/XMLRepository. html, 2016
219*2016
Ask me anything: A simple strategy for prompting language models
S Arora, A Narayan, MF Chen, L Orr, N Guha, K Bhatia, I Chami, F Sala, ...
arXiv preprint arXiv:2210.02441, 2022
2062022
Robust regression via hard thresholding
K Bhatia, P Jain, P Kar
Advances in neural information processing systems 28, 2015
1942015
Politex: Regret bounds for policy iteration using expert prediction
Y Abbasi-Yadkori, P Bartlett, K Bhatia, N Lazic, C Szepesvari, G Weisz
International Conference on Machine Learning, 3692-3702, 2019
1552019
The effects of reward misspecification: Mapping and mitigating misaligned models
A Pan, K Bhatia, J Steinhardt
arXiv preprint arXiv:2201.03544, 2022
1442022
Establishing appropriate trust via critical states
SH Huang, K Bhatia, P Abbeel, AD Dragan
RSJ International Conference on Intelligent Robots and Systems (IROS), 3929-3936, 2018
1422018
Consistent Robust Regression.
K Bhatia, P Jain, P Kamalaruban, P Kar
NIPS 2017, 2017
1162017
Adaptive hard thresholding for near-optimal consistent robust regression
AS Suggala, K Bhatia, P Ravikumar, P Jain
Conference on Learning Theory, 2892-2897, 2019
512019
Skill-it! a data-driven skills framework for understanding and training language models
M Chen, N Roberts, K Bhatia, J Wang, C Zhang, F Sala, C Ré
Advances in Neural Information Processing Systems 36, 2024
382024
On the sensitivity of reward inference to misspecified human models
J Hong, K Bhatia, A Dragan
arXiv preprint arXiv:2212.04717, 2022
272022
The hedgehog & the porcupine: Expressive linear attentions with softmax mimicry
M Zhang, K Bhatia, H Kumbong, C Ré
arXiv preprint arXiv:2402.04347, 2024
252024
Gen-Oja: A Two-time-scale approach for Streaming CCA
K Bhatia, A Pacchiano, N Flammarion, PL Bartlett, MI Jordan
arXiv preprint arXiv:1811.08393, 2018
22*2018
Online learning with dynamics: A minimax perspective
K Bhatia, K Sridharan
Advances in Neural Information Processing Systems 33, 15020-15030, 2020
172020
Preference learning along multiple criteria: A game-theoretic perspective
K Bhatia, A Pananjady, P Bartlett, A Dragan, MJ Wainwright
Advances in neural information processing systems 33, 7413-7424, 2020
152020
Bayesian Robustness: A Nonasymptotic Viewpoint
K Bhatia, YA Ma, AD Dragan, PL Bartlett, MI Jordan
Journal of the American Statistical Association 119 (546), 1112-1123, 2024
11*2024
Lazy generic cuts
D Khandelwal, K Bhatia, C Arora, P Singla
Computer Vision and Image Understanding 143, 80-91, 2016
112016
Explaining robot policies
OG Watkins, SH Huang, J Frost, K Bhatia, E Weiner, P Abbeel, T Darrell, ...
Applied AI Letters, 2021
92021
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Articles 1–20