Saurabh Garg
Saurabh Garg
PhD Student, Machine Learning Department, Carnegie Mellon University
Verified email at - Homepage
Cited by
Cited by
A Unified View of Label Shift Estimation
S Garg, Y Wu, S Balakrishnan, ZC Lipton
Advances in Neural Information Processing Systems (NeurIPS) 2020, 2020
Neural Architecture for Question Answering Using a Knowledge Graph and Web Corpus
U Sawant, S Garg, S Chakrabarti, G Ramakrishnan
Information Retrieval Journal, 2019, 2018
Code-switched language models using dual rnns and same-source pretraining
S Garg, T Parekh, P Jyothi
Empirical Methods in Natural Language Processing (EMNLP), 2018, 2018
Dual Language Models for Code Mixed Speech Recognition
S Garg, T Parekh, P Jyothi
Proceedings of Interspeech 2018 (19th Annual Conference of ISCA), 2018
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
S Garg, S Balakrishnan, ZC Lipton, B Neyshabur, H Sedghi
International Conference on Machine Learning (ICLR), 2022, 2022
Mixture Proportion Estimation and PU Learning:A Modern Approach
S Garg, Y Wu, A Smola, S Balakrishnan, ZC Lipton
Advances in Neural Information Processing (NeurIPS) 2021, Spotlight, 2021
Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach
SP Awate, S Garg, R Jena
Medical image analysis (MedIA) 55, 181-196, 2019
RATT: Leveraging Unlabeled Data to Guarantee Generalization
S Garg, S Balakrishnan, JZ Kolter, ZC Lipton
International Conference on Machine Learning (ICML) 2021, Oral, 2021
On Proximal Policy Optimization's Heavy-tailed Gradients
S Garg, J Zhanson, E Parisotto, A Prasad, JZ Kolter, S Balakrishnan, ...
International Conference on Machine Learning 139 (38), 3598-3609, 2021
Perfect MCMC sampling in Bayesian MRFs for uncertainty estimation in segmentation
S Garg, SP Awate
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018 …, 2018
Deconstructing Distributions: A Pointwise Framework of Learning
G Kaplun, N Ghosh, S Garg, B Barak, P Nakkiran
arXiv preprint arXiv:2202.09931, 2022
Unsupervised Learning under Latent Label Shift
M Roberts, P Mani, S Garg, ZC Lipton
arXiv preprint arXiv:2207.13179, 2022
Domain Adaptation under Open Set Label Shift
S Garg, S Balakrishnan, ZC Lipton
arXiv preprint arXiv:2207.13048, 2022
Characterizing Datapoints via Second-Split Forgetting
P Maini, S Garg, ZC Lipton, JZ Kolter
ICML 2022: Workshop on Spurious Correlations, Invariance and Stability, 0
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Articles 1–14