Kush Bhatia
Kush Bhatia
Stanford University
Verified email at - Homepage
Cited by
Cited by
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
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
Derivative-free methods for policy optimization: Guarantees for linear quadratic systems
D Malik, A Pananjady, K Bhatia, K Khamaru, P Bartlett, M Wainwright
The 22nd international conference on artificial intelligence and statistics …, 2019
The extreme classification repository: Multi-label datasets and code
K Bhatia, K Dahiya, H Jain, A Mittal, Y Prabhu, M Varma
URL http://manikvarma. org/downloads/XC/XMLRepository. html, 2016
Robust regression via hard thresholding
K Bhatia, P Jain, P Kar
Advances in neural information processing systems 28, 2015
Ask me anything: A simple strategy for prompting language models
S Arora, A Narayan, MF Chen, L Orr, N Guha, K Bhatia, I Chami, C Re
The Eleventh International Conference on Learning Representations, 2022
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
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
Consistent Robust Regression.
K Bhatia, P Jain, P Kamalaruban, P Kar
NIPS 2017, 2017
The effects of reward misspecification: Mapping and mitigating misaligned models
A Pan, K Bhatia, J Steinhardt
arXiv preprint arXiv:2201.03544, 2022
Adaptive hard thresholding for near-optimal consistent robust regression
AS Suggala, K Bhatia, P Ravikumar, P Jain
Conference on Learning Theory, 2892-2897, 2019
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
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
On the sensitivity of reward inference to misspecified human models
J Hong, K Bhatia, A Dragan
arXiv preprint arXiv:2212.04717, 2022
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
Bayesian robustness: A nonasymptotic viewpoint
K Bhatia, YA Ma, AD Dragan, PL Bartlett, MI Jordan
Journal of the American Statistical Association, 1-12, 2023
Online learning with dynamics: A minimax perspective
K Bhatia, K Sridharan
Advances in Neural Information Processing Systems 33, 15020-15030, 2020
Lazy generic cuts
D Khandelwal, K Bhatia, C Arora, P Singla
Computer Vision and Image Understanding 143, 80-91, 2016
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry
M Zhang, K Bhatia, H Kumbong, C Ré
arXiv preprint arXiv:2402.04347, 2024
Statistical and computational trade-offs in variational inference: A case study in inferential model selection
K Bhatia, NL Kuang, YA Ma, Y Wang
arXiv preprint arXiv:2207.11208, 2022
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