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Articles: 2'218'097
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27 June 2022
 
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Results 1 to 20 of 42 for query "Jeff Schneider". (0.00 sec.)

[    1    2    3    ]   Next
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
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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
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3.
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
Youngseog Chung; Willie Neiswanger; Ian Char; Jeff Schneider;
19 Nov 2020
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4.
Multi-Agent Active Search using Realistic Depth-Aware Noise Model
Ramina Ghods; William J. Durkin; Jeff Schneider;
10 Nov 2020
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5.
Behavior Planning at Urban Intersections through Hierarchical Reinforcement Learning
Zhiqian Qiao; Jeff Schneider; John M. Dolan;
9 Nov 2020
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6.
Interactive Visualization for Debugging RL
Shuby Deshpande; Benjamin Eysenbach; Jeff Schneider;
14 Aug 2020
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7.
Vizarel: A System to Help Better Understand RL Agents
Shuby Deshpande; Jeff Schneider;
10 Jul 2020
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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
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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
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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
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11.
Labeling Bias in Galaxy Morphologies
Guillermo Cabrera-Vives; Christopher J. Miller; Jeff Schneider;
8 Nov 2018
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12.
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling
Kirthevasan Kandasamy; Akshay Krishnamurthy; Jeff Schneider; Barnabas Poczos;
25 May 2017
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13.
The Statistical Recurrent Unit
Junier B. Oliva; Barnabas Poczos; Jeff Schneider;
1 Mar 2017
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14.
The Multi-fidelity Multi-armed Bandit
Kirthevasan Kandasamy; Gautam Dasarathy; Jeff Schneider; Barnabás Póczos;
31 Oct 2016
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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
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16.
Stochastic Neural Networks with Monotonic Activation Functions
Siamak Ravanbakhsh; Barnabas Poczos; Jeff Schneider; Dale Schuurmans; Russell Greiner;
1 Jan 2016
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17.
Machine Learning methods for interatomic potentials: application to boron carbide
Qin Gao; Sanxi Yao; Jeff Schneider; Michael Widom;
30 Dec 2015
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18.
Deep Mean Maps
Junier B. Oliva; Dougal J. Sutherland; Barnabás Póczos; Jeff Schneider;
13 Nov 2015
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19.
Linear-time Learning on Distributions with Approximate Kernel Embeddings
Dougal J. Sutherland; Junier B. Oliva; Barnabás Póczos; Jeff Schneider;
25 Sep 2015
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20.
Bayesian Nonparametric Kernel-Learning
Junier Oliva; Avinava Dubey; Barnabas Poczos; Jeff Schneider; Eric P. Xing;
29 Jun 2015
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