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Dami Choi
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 13
Top Topics
Stochastic Optimization
Neural Models
White Box
Random Search
Top Venues
CoRR
NeurIPS
ICBINB@NeurIPS
ICML
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Publications
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Dami Choi
,
Derrick Xin
,
Hamid Dadkhahi
,
Justin Gilmer
,
Ankush Garg
,
Orhan Firat
,
Chih-Kuan Yeh
,
Andrew M. Dai
,
Behrooz Ghorbani
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning.
NeurIPS
(2023)
Dami Choi
,
Derrick Xin
,
Hamid Dadkhahi
,
Justin Gilmer
,
Ankush Garg
,
Orhan Firat
,
Chih-Kuan Yeh
,
Andrew M. Dai
,
Behrooz Ghorbani
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning.
CoRR
(2023)
Dami Choi
,
Yonadav Shavit
,
David Kristjanson Duvenaud
Tools for Verifying Neural Models' Training Data.
NeurIPS
(2023)
Dami Choi
,
Yonadav Shavit
,
David Duvenaud
Tools for Verifying Neural Models' Training Data.
CoRR
(2023)
Ricky T. Q. Chen
,
Dami Choi
,
Lukas Balles
,
David Duvenaud
,
Philipp Hennig
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering.
ICBINB@NeurIPS
(2020)
Ricky T. Q. Chen
,
Dami Choi
,
Lukas Balles
,
David Duvenaud
,
Philipp Hennig
Self-Tuning Stochastic Optimization with Curvature-Aware Gradient Filtering.
CoRR
(2020)
Max B. Paulus
,
Dami Choi
,
Daniel Tarlow
,
Andreas Krause
,
Chris J. Maddison
Gradient Estimation with Stochastic Softmax Tricks.
CoRR
(2020)
Max B. Paulus
,
Dami Choi
,
Daniel Tarlow
,
Andreas Krause
,
Chris J. Maddison
Gradient Estimation with Stochastic Softmax Tricks.
NeurIPS
(2020)
Dami Choi
,
Alexandre Passos
,
Christopher J. Shallue
,
George E. Dahl
Faster Neural Network Training with Data Echoing.
CoRR
(2019)
Niru Maheswaranathan
,
Luke Metz
,
George Tucker
,
Dami Choi
,
Jascha Sohl-Dickstein
Guided evolutionary strategies: augmenting random search with surrogate gradients.
ICML
(2019)
Dami Choi
,
Christopher J. Shallue
,
Zachary Nado
,
Jaehoon Lee
,
Chris J. Maddison
,
George E. Dahl
On Empirical Comparisons of Optimizers for Deep Learning.
CoRR
(2019)
Will Grathwohl
,
Dami Choi
,
Yuhuai Wu
,
Geoffrey Roeder
,
David Duvenaud
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation.
ICLR (Poster)
(2018)
Will Grathwohl
,
Dami Choi
,
Yuhuai Wu
,
Geoffrey Roeder
,
David Duvenaud
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation.
CoRR
(2017)