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27 June 2022
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Jeff Schneider
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1.
Non-Parametric Inference in Astrophysics
Larry Wasserman
;
Christopher J. Miller
;
Robert C. Nichol
;
Chris Genovese
;
Woncheol Jang
;
Andrew J. Connolly
;
Andrew W. Moore
;
Jeff Schneider
;
the PICA group
;
3 Dec 2001
2.
Fast Algorithms and Efficient Statistics: N-point Correlation Functions
Andrew Moore
;
Andy Connolly
;
Chris Genovese
;
Alex Gray
;
Larry Grone
;
Nick Kanidoris II
;
Robert Nichol
;
Jeff Schneider
;
Alex Szalay
;
Istvan Szapudi
;
Larry Wasserman
;
14 Dec 2000
3.
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
Youngseog Chung
;
Willie Neiswanger
;
Ian Char
;
Jeff Schneider
;
19 Nov 2020
4.
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Ramina Ghods
;
William J. Durkin
;
Jeff Schneider
;
10 Nov 2020
5.
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
Zhiqian Qiao
;
Jeff Schneider
;
John M. Dolan
;
9 Nov 2020
6.
Interactive Visualization for Debugging RL
Shuby Deshpande
;
Benjamin Eysenbach
;
Jeff Schneider
;
14 Aug 2020
7.
Vizarel: A System to Help Better Understand RL Agents
Shuby Deshpande
;
Jeff Schneider
;
10 Jul 2020
8.
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
Ksenia Korovina
;
Sailun Xu
;
Kirthevasan Kandasamy
;
Willie Neiswanger
;
Barnabas Poczos
;
Jeff Schneider
;
Eric P. Xing
;
5 Aug 2019
9.
Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories
Henggang Cui
;
Thi Nguyen
;
Fang-Chieh Chou
;
Tsung-Han Lin
;
Jeff Schneider
;
David Bradley
;
Nemanja Djuric
;
1 Aug 2019
10.
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Kirthevasan Kandasamy
;
Karun Raju Vysyaraju
;
Willie Neiswanger
;
Biswajit Paria
;
Christopher R. Collins
;
Jeff Schneider
;
Barnabas Poczos
;
Eric P. Xing
;
15 Mar 2019
11.
Labeling Bias in Galaxy Morphologies
Guillermo Cabrera-Vives
;
Christopher J. Miller
;
Jeff Schneider
;
8 Nov 2018
12.
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling
Kirthevasan Kandasamy
;
Akshay Krishnamurthy
;
Jeff Schneider
;
Barnabas Poczos
;
25 May 2017
13.
The Statistical Recurrent Unit
Junier B. Oliva
;
Barnabas Poczos
;
Jeff Schneider
;
1 Mar 2017
14.
The Multi-fidelity Multi-armed Bandit
Kirthevasan Kandasamy
;
Gautam Dasarathy
;
Jeff Schneider
;
Barnabás Póczos
;
31 Oct 2016
15.
Enabling Dark Energy Science with Deep Generative Models of Galaxy Images
Siamak Ravanbakhsh
;
Francois Lanusse
;
Rachel Mandelbaum
;
Jeff Schneider
;
Barnabas Poczos
;
19 Sep 2016
16.
Stochastic Neural Networks with Monotonic Activation Functions
Siamak Ravanbakhsh
;
Barnabas Poczos
;
Jeff Schneider
;
Dale Schuurmans
;
Russell Greiner
;
1 Jan 2016
17.
Machine Learning methods for interatomic potentials: application to boron carbide
Qin Gao
;
Sanxi Yao
;
Jeff Schneider
;
Michael Widom
;
30 Dec 2015
18.
Deep Mean Maps
Junier B. Oliva
;
Dougal J. Sutherland
;
Barnabás Póczos
;
Jeff Schneider
;
13 Nov 2015
19.
Linear-time Learning on Distributions with Approximate Kernel Embeddings
Dougal J. Sutherland
;
Junier B. Oliva
;
Barnabás Póczos
;
Jeff Schneider
;
25 Sep 2015
20.
Bayesian Nonparametric Kernel-Learning
Junier Oliva
;
Avinava Dubey
;
Barnabas Poczos
;
Jeff Schneider
;
Eric P. Xing
;
29 Jun 2015
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