Algorithm 1007: QNSTOP—Quasi-Newton Algorithm for Stochastic Optimization
Brandon D Amos , David R Easterling , Layne T Watson , William I Thacker
ACM TOMS
27
2020
Algorithm XXX: QNSTOP—quasi-Newton algorithm for stochastic optimization
Brandon D Amos , David R Easterling , Layne T Watson , William I Thacker
Department of Computer Science, Virginia Polytechnic Institute & State University
17
2014
OpenFace: A general-purpose face recognition library with mobile applications
Mahadev Satyanarayanan , Brandon Amos , Bartosz Ludwiczuk
hgpu.org
1,133
2016
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos , J. Zico Kolter
arXiv: Learning
638
2017
Learning Awareness Models
Yuval Tassa , Misha Denil , Tom Erez , Brandon Amos
arXiv: Artificial Intelligence
42
2018
Task-based End-to-end Model Learning in Stochastic Optimization.
Brandon Amos , J. Zico Kolter , Priya L. Donti
arXiv: Learning
243
2017
Input Convex Neural Networks
Brandon Amos , J. Zico Kolter , Lei Xu
international conference on machine learning 146 -155
365
2016
Differentiable MPC for End-to-end Planning and Control
Brandon Amos , Ivan Jimenez , Jacob Sacks , Byron Boots
neural information processing systems 31 8289 -8300
267
2018
Differentiable Convex Optimization Layers
Stephen P. Boyd , Brandon Amos , J. Zico Kolter , Steven Diamond
neural information processing systems 32 9558 -9570
349
2019
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
Joelle Pineau , Brandon Amos , Rob Fergus , Ilya Kostrikov
arXiv: Learning
225
2019
Generalized Inner Loop Meta-Learning
Edward Grefenstette , Douwe Kiela , Brandon Amos , Artem Molchanov
arXiv: Learning
103
2019
Objective Mismatch in Model-based Reinforcement Learning
Brandon Amos , Roberto Calandra , Omry Yadan , Nathan Lambert
arXiv: Learning
53
2020
The Differentiable Cross-Entropy Method
Brandon Amos , Denis Yarats
international conference on machine learning 1 291 -302
45
2020
On the model-based stochastic value gradient for continuous reinforcement learning.
Brandon Amos , Andrew Gordon Wilson , Denis Yarats , Samuel Stanton
arXiv: Learning
38
2020
Neural Potts Model
Yann LeCun , Brandon Amos , Tom Sercu , Zeming Lin
bioRxiv
11
2021
Learning Neural Event Functions for Ordinary Differential Equations
Brandon Amos , Maximilian Nickel , Ricky T. Q. Chen
international conference on learning representations
66
2021
MBRL-Lib: A Modular Library for Model-based Reinforcement Learning.
Brandon Amos , Roberto Calandra , Luis Pineda , Amy Zhang
arXiv: Artificial Intelligence
20
2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints.
Michal Rolínek , Georg Martius , Brandon Amos , Vít Musil
arXiv: Learning
26
2021
Privacy Mediators: Helping IoT Cross the Chasm
Nigel Davies , Nina Taft , Mahadev Satyanarayanan , Sarah Clinch
international workshop on mobile computing systems and applications 39 -44
59
2016
Bad Parts: Are Our Manufacturing Systems at Risk of Silent Cyberattacks?
Hamilton Turner , Jules White , Jaime A Camelio , Christopher Williams
ieee symposium on security and privacy 13 ( 3) 40 -47
38
2015
Mahadev Satyanarayanan Zico Kolter Denis Yarats Ricky Tian Qi Chen Maximilian Nickel Samuel Cohen Ivan Dario Jimenez Rodriguez Stephen Boyd Shane Barratt Akshay Agrawal Steven Diamond Lei Xu Nathan Lambert Rob Fergus Joelle Pineau Ilya Kostrikov Yaron Lipman Byron Boots Edward Grefenstette Kyunghyun Cho