Publications
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Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya Razenshteyn, Sebastien Bubeck
NeurIPS, 2019
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Equalized odds postprocessing under imperfect group information
Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern
arXiv, 2019
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Implicit bias of gradient descent on linear convolutional networks
Suriya Gun 2018asekar, Jason D. Lee, Daniel Soudry, Nathan Srebro
arXiv, 2019
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Learning Auctions with Incentive Guarantees
Jacob Abernethy, Rachel Cummings, Bhuvesh Kumar, Jamie Morgenstern, Samuel Taggart
NeurIPS, 2019
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Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Jerry Li, Ankur Moitra, Alistair Stewart
arXiv, 2019
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When random initializations help: a study of variational inference for community detection
Purnamrita Sarkar, Rachel Ward, Soumendu Sundar Mukherjee
arXiv, 2019
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AdaGrad stepsizes: Sharp convergence over nonconvex landscapes
Rachel Ward, Xiaoxia Wu, Leon Bottou
PMLR, 2019
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Splitting Steepest Descent for Growing Neural Architectures
Q. Liu, D. Wang, L. Wu
NeurIPS, 2019
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Learning by Cheating
Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl
CORL, 2019
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Grounded Human-Object Interaction Hotspots from Video
T. Nagarajan, C. Feichtenhofer, K. Grauman
ICCV, 2019, 2019
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Learning with Bad Training Data via Iterative Trimmed Loss Minimization
Yanyao Shen, Sujay Sanghavi
arXiv, 2018
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Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
ICLR, 2018
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Efficient Algorithms for Outlier-Robust Regression
Adam Klivans, Pravesh K. Kothari, Raghu Meka
COLT, 2018
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Overlapping Clustering Models, and One (class) SVM to Bind Them All
Xueyu Mao, Purnamrita Sarkar, Deepayan Chakrabarti
arXiv, 2018
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Programmatically Interpretable Reinforcement Learning
Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh, Pushmeet Kohli, Swarat Chaudhuri
ICML, 2018
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Neural Sketch Learning for Conditional Program Generation
Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, and Chris Jermaine
ICLR, 2018
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QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li, Ryota Tomioka, Milan Vojnovic
arXiv, 2017
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Learning Graphical Models via Multiplicative Weights
Adam Klivans, Raghu Meka
arXiv, 2017