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27 June 2022
 
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Results 1 to 20 of 44 for query "Barnabas Poczos". (0.00 sec.)

[    1    2    3    ]   Next
1.
Kalman-filtering using local interactions
Barnabas Poczos; Andras Lorincz;
28 Feb 2003
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2.
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
Mariya Toneva; Otilia Stretcu; Barnabas Poczos; Leila Wehbe; Tom M. Mitchell;
17 Sep 2020
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3.
Nonlinear ISA with Auxiliary Variables for Learning Speech Representations
Amrith Setlur; Barnabas Poczos; Alan W Black;
25 Jul 2020
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4.
Covariate Distribution Aware Meta-learning
Amrith Setlur; Saket Dingliwal; Barnabas Poczos;
6 Jul 2020
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5.
Robust Density Estimation under Besov IPM Losses
Ananya Uppal; Shashank Singh; Barnabas Poczos;
18 Apr 2020
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6.
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets
Ilqar Ramazanli; Han Nguyen; Hai Pham; Sashank Reddi; Barnabas Poczos;
20 Feb 2020
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7.
Optimal Adaptive Matrix Completion
Ilqar ramazanli; Barnabas Poczos;
6 Feb 2020
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8.
Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning
Adarsh Dave; Jared Mitchell; Kirthevasan Kandasamy; Sven Burke; Biswajit Paria; Barnabas Poczos; Jay Whitacre; Venkatasubramanian Viswanathan;
22 Oct 2019
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9.
RotationOut as a Regularization Method for Neural Network
Kai Hu; Barnabas Poczos;
18 Nov 2019
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10.
End-to-end particle and event identification at the Large Hadron Collider with CMS Open Data
John Alison; Sitong An; Michael Andrews; Patrick Bryant; Bjorn Burkle; Sergei Gleyzer; Ulrich Heintz; Meenakshi Narain; Manfred Paulini; Barnabas Poczos; Emanuele Usai;
15 Oct 2019
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11.
Developing Creative AI to Generate Sculptural Objects
Songwei Ge; Austin Dill; Eunsu Kang; Chun-Liang Li; Lingyao Zhang; Manzil Zaheer; Barnabas Poczos;
20 Aug 2019
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12.
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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13.
A Deep Reinforcement Learning Approach for Global Routing
Haiguang Liao; Wentai Zhang; Xuliang Dong; Barnabas Poczos; Kenji Shimada; Levent Burak Kara;
20 Jun 2019
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14.
Competence-based Curriculum Learning for Neural Machine Translation
Emmanouil Antonios Platanios; Otilia Stretcu; Graham Neubig; Barnabas Poczos; Tom M. Mitchell;
26 Mar 2019
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15.
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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16.
End-to-End Jet Classification of Quarks and Gluons with the CMS Open Data
Michael Andrews; John Alison; Sitong An; Patrick Bryant; Bjorn Burkle; Sergei Gleyzer; Meenakshi Narain; Manfred Paulini; Barnabas Poczos; Emanuele Usai;
21 Feb 2019
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17.
A Robust and Efficient Deep Learning Method for Dynamical Mass Measurements of Galaxy Clusters
Matthew Ho; Markus Michael Rau; Michelle Ntampaka; Arya Farahi; Hy Trac; Barnabas Poczos;
15 Feb 2019
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18.
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
Hai Pham; Paul Pu Liang; Thomas Manzini; Louis-Philippe Morency; Barnabas Poczos;
19 Dec 2018
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19.
Hallucinating Point Cloud into 3D Sculptural Object
Chun-Liang Li; Eunsu Kang; Songwei Ge; Lingyao Zhang; Austin Dill; Manzil Zaheer; Barnabas Poczos;
29 Nov 2018
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20.
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling
Kirthevasan Kandasamy; Akshay Krishnamurthy; Jeff Schneider; Barnabas Poczos;
25 May 2017
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