Brandon Amos

According to our database1, Brandon Amos authored at least 30 papers between 2013 and 2020.

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Bibliography

2020
Objective Mismatch in Model-based Reinforcement Learning.
CoRR, 2020

2019
Quasi-Newton 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 Model-Free Reinforcement Learning from Images.
CoRR, 2019

Generalized Inner Loop Meta-Learning.
CoRR, 2019

The Differentiable Cross-Entropy Method.
CoRR, 2019

The Limited Multi-Label 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 Privacy-Aware Framework.
TOMM, 2018

Depth-Limited Solving for Imperfect-Information Games.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Differentiable MPC for End-to-end 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
Task-based End-to-end Model Learning.
CoRR, 2017

Task-based End-to-end 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 Privacy-Aware 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 Sum-Product 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 Asia-Pacific 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


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