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Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification

Nov 18, 2020
Youngseog Chung, Willie Neiswanger, Ian Char, Jeff Schneider


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Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

Aug 27, 2020
Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing


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A Study on Encodings for Neural Architecture Search

Jul 09, 2020
Colin White, Willie Neiswanger, Sam Nolen, Yash Savani


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Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction

Jun 23, 2020
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D Boyer, Egemen Kolemen, Jeff Schneider


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Uncertainty quantification using martingales for misspecified Gaussian processes

Jun 12, 2020
Willie Neiswanger, Aaditya Ramdas


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Offline Contextual Bayesian Optimization for Nuclear Fusion

Jan 06, 2020
Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D Boyer, Egemen Kolemen, Jeff Schneider

* 6 pages, 2 figures, Machine Learning and Physical Sciences workshop 

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BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

Oct 25, 2019
Colin White, Willie Neiswanger, Yash Savani


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ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations

Aug 05, 2019
Ksenia Korovina, Sailun Xu, Kirthevasan Kandasamy, Willie Neiswanger, Barnabas Poczos, Jeff Schneider, Eric P. Xing


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Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

Mar 15, 2019
Kirthevasan Kandasamy, Karun Raju Vysyaraju, Willie Neiswanger, Biswajit Paria, Christopher R. Collins, Jeff Schneider, Barnabas Poczos, Eric P. Xing


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ProBO: a Framework for Using Probabilistic Programming in Bayesian Optimization

Jan 31, 2019
Willie Neiswanger, Kirthevasan Kandasamy, Barnabas Poczos, Jeff Schneider, Eric Xing


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Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful

Jul 11, 2018
Rajesh Chidambaram, Michael Kampffmeyer, Willie Neiswanger, Xiaodan Liang, Thomas Lachmann, Eric Xing

* ICML 2018, Workshop TADGM 

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Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Jun 10, 2018
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider, Barnabas Poczos, Eric Xing


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Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming

May 25, 2018
Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang, Akshay Krishnamurthy, Jeff Schneider, Barnabas Poczos


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Post-Inference Prior Swapping

Jul 12, 2017
Willie Neiswanger, Eric Xing


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Performance Bounds for Graphical Record Linkage

Mar 08, 2017
Rebecca C. Steorts, Matt Barnes, Willie Neiswanger

* 11 pages with supplement; 4 figures and 2 tables; to appear in AISTATS 2017 

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Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms

Feb 13, 2016
Yu-Xiang Wang, Veeranjaneyulu Sadhanala, Wei Dai, Willie Neiswanger, Suvrit Sra, Eric P. Xing


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Embarrassingly Parallel Variational Inference in Nonconjugate Models

Oct 14, 2015
Willie Neiswanger, Chong Wang, Eric Xing


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Fast Function to Function Regression

Oct 27, 2014
Junier Oliva, Willie Neiswanger, Barnabas Poczos, Eric Xing, Jeff Schneider


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Asymptotically Exact, Embarrassingly Parallel MCMC

Mar 21, 2014
Willie Neiswanger, Chong Wang, Eric Xing


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Fast Distribution To Real Regression

Mar 09, 2014
Junier B. Oliva, Willie Neiswanger, Barnabas Poczos, Jeff Schneider, Eric Xing


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Unsupervised Detection and Tracking of Arbitrary Objects with Dependent Dirichlet Process Mixtures

Oct 11, 2012
Willie Neiswanger, Frank Wood

* 21 pages, 7 figures 

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