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01 October 2023

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Results 1 to 20 of 45 for query "Barnabas Poczos". (0.01 sec.)

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Kalman-filtering using local interactions
Barnabas Poczos; Andras Lorincz;
28 Feb 2003

Gradient Descent and the Power Method: Exploiting their connection to find the leftmost eigen-pair and escape saddle points
Rachael Tappenden; Martin Takáč;
2 Nov 2022

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

Nonlinear ISA with Auxiliary Variables for Learning Speech Representations
Amrith Setlur; Barnabas Poczos; Alan W Black;
25 Jul 2020

Covariate Distribution Aware Meta-learning
Amrith Setlur; Saket Dingliwal; Barnabas Poczos;
6 Jul 2020

Robust Density Estimation under Besov IPM Losses
Ananya Uppal; Shashank Singh; Barnabas Poczos;
18 Apr 2020

Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets
Ilqar Ramazanli; Han Nguyen; Hai Pham; Sashank Reddi; Barnabas Poczos;
20 Feb 2020

Optimal Adaptive Matrix Completion
Ilqar ramazanli; Barnabas Poczos;
6 Feb 2020

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

10.

RotationOut as a Regularization Method for Neural Network
Kai Hu; Barnabas Poczos;
18 Nov 2019

11.

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

12.

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

13.

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

14.

A Deep Reinforcement Learning Approach for Global Routing
Haiguang Liao; Wentai Zhang; Xuliang Dong; Barnabas Poczos; Kenji Shimada; Levent Burak Kara;
20 Jun 2019

15.

Competence-based Curriculum Learning for Neural Machine Translation
Emmanouil Antonios Platanios; Otilia Stretcu; Graham Neubig; Barnabas Poczos; Tom M. Mitchell;
26 Mar 2019

16.

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

17.

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

18.

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

19.

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

20.

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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