Brandon Amos
According to our database^{1},
Brandon Amos
authored at least 30 papers
between 2013 and 2020.
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Bibliography
2020
Objective Mismatch in Modelbased Reinforcement Learning.
CoRR, 2020
2019
QuasiNewton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle.
IEEE/ACM Trans. Comput. Biology Bioinform., 2019
Improving Sample Efficiency in ModelFree Reinforcement Learning from Images.
CoRR, 2019
Generalized Inner Loop MetaLearning.
CoRR, 2019
The Differentiable CrossEntropy Method.
CoRR, 2019
The Limited MultiLabel Projection Layer.
CoRR, 2019
Differentiable Convex Optimization Layers.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Enabling Live Video Analytics with a Scalable and PrivacyAware Framework.
TOMM, 2018
DepthLimited Solving for ImperfectInformation Games.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Differentiable MPC for Endtoend Planning and Control.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Learning Awareness Models.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Taskbased Endtoend Model Learning.
CoRR, 2017
Taskbased Endtoend Model Learning in Stochastic Optimization.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
A Scalable and PrivacyAware IoT Service for Live Video Analytics.
Proceedings of the 8th ACM on Multimedia Systems Conference, 2017
Input Convex Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017
You can teach elephants to dance: agile VM handoff for edge computing.
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017
An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance.
Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017
2016
HotMobile 2016.
IEEE Pervasive Computing, 2016
Privacy Mediators: Helping IoT Cross the Chasm.
Proceedings of the 17th International Workshop on Mobile Computing Systems and Applications, 2016
Collapsed Variational Inference for SumProduct Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Quantifying the Impact of Edge Computing on Mobile Applications.
Proceedings of the 7th ACM SIGOPS AsiaPacific Workshop on Systems, 2016
2015
Edge Analytics in the Internet of Things.
IEEE Pervasive Computing, 2015
Bad Parts: Are Our Manufacturing Systems at Risk of Silent Cyberattacks?
IEEE Security & Privacy, 2015
The Case for Offload Shaping.
Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications, 2015
Early Implementation Experience with Wearable Cognitive Assistance Applications.
Proceedings of the 2015 workshop on Wearable Systems and Applications, 2015
2014
Global parameter estimation for a eukaryotic cell cycle model in systems biology.
Proceedings of the 2014 Summer Simulation Multiconference, 2014
Fortran 95 implementation of QNSTOP for global and stochastic optimization.
Proceedings of the 2014 Spring Simulation Multiconference, 2014
Performance Study of Spindle, A Web Analytics Query Engine Implemented in Spark.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
2013
Applying machine learning classifiers to dynamic Android malware detection at scale.
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013