• I am looking for a machine learning research internship for the summer of 2017.
  • I will be attending NIPS 2016 and have a poster on ICNNs in the deep RL workshop on Friday.

I am a third-year Computer Science Ph.D. student at Carnegie Mellon University and am supported by an NSF graduate research fellowship. I spent the first two years of my Ph.D. working between mobile computing and applied machine learning and I now work with Zico Kolter on machine learning and optimization. I am particularly interested in improving our understanding of important modeling problems in computer vision, language, and reinforcement learning through the use of deep learning, optimization (sometimes convex), theory, and statistics.

As an example, we’ve recently been exploring the intersection of deep learning and convex optimization with input convex neural networks (ICNNs): neural networks that are convex with respect to some of the inputs. Our preprint is available at arXiv:1609.07152 and shows applications to multi-label classification, image completion, and continuous-action reinforcement learning.

I strongly believe in open science and reproducible research and actively publish code on my Github profile. I am also the author of OpenFace, which is an open source face recognition project that uses deep learning.

Education

Aug 2014 - Present Ph.D. in Computer Science
Carnegie Mellon University
Aug 2014 - May 2016 M.S. in Computer Science
Carnegie Mellon University
Aug 2011 - May 2014 B.S. in Computer Science (3.99/4.00)
Virginia Tech
May 2011 Northside High School (Roanoke, Virginia)

Research Experience

Apr 2016 - Present Carnegie Mellon University, Prof. Zico Kolter
Machine learning and optimization
Aug 2014 - Apr 2016 Carnegie Mellon University, Prof. Mahadev Satyanarayanan
Applied machine learning and mobile computing
May 2012 - May 2014 Virginia Tech, Prof. Jules White
Mobile computing, cyber-physical systems, and security
Jan 2013 - May 2014 Virginia Tech, Prof. Layne Watson
Scientific computing, global/stochastic optimization, and bioinformatics
Nov 2012 - Mar 2014 Virginia Tech, Prof. Binoy Ravindran
Heterogeneous compilers

Selected Publications

Google Scholar

Input Convex Neural Networks
B. Amos, L. Xu, and J. Kolter
arXiv 2016
[1] [abs] [pdf] [code]
Collapsed Variational Inference for Sum-Product Networks
H. Zhao, T. Adel, G. Gordon, and B. Amos
ICML 2016
[2] [abs] [pdf]
OpenFace: A general-purpose face recognition library with mobile applications
B. Amos, B. Ludwiczuk, and M. Satyanarayanan
CMU 2016
[3] [abs] [pdf] [code]
QNSTOP-QuasiNewton Algorithm for Stochastic Optimization
B. Amos, D. Easterling, L. Watson, W. Thacker, B. Castle, and M. Trosset
VT 2014
[4] [abs] [pdf]

Teaching Experience

S2016 Distributed Systems (CMU 15-440/640), TA
S2013 Software Design and Data Structures (VT CS 2114), TA

Industry Experience

May 2014 - Aug 2014 Adobe Research, Data Scientist Intern
Dec 2013 - Jan 2014 Snowplow Analytics, Software Engineer Intern
May 2013 - Aug 2013 Qualcomm, Software Engineer Intern
May 2012 - Aug 2012 Phoenix Integration, Software Engineer Intern
Jan 2011 - Aug 2011 Sunapsys, Network Administrator Intern

CMU Graduate Coursework

  • Advanced Machine Learning (10-715, Au), B. Poczos, F2016
  • Intermediate Statistics (10-705, Au), L. Wasserman, F2016
  • Topics in Deep Learning (10-807), R. Salakhutdinov, F2016
  • Convex Optimization (10-725), R. J. Tibshirani, F2015
  • Algorithms in the Real World (15-853), G. Blelloch and A. Gupta, F2015
  • Semantics of Programming Languages (15-812), A. Platzer, S2015
  • Optimizing Compilers for Modern Architecture (15-745), T. Mowry, S2015
  • Advanced Operating and Distributed Systems (15-712), D. Andersen, F2014
  • Mobile and Pervasive Computing (15-812), M. Satyanarayanan and D. Siewiorek, F2014

Honors & Awards

2016 - 2019 NSF Graduate Research Fellowship
2014 1st Place Undergraduate Senior Capstone Award, Virginia Tech Computer Science
2014 David Heilman Research Award, Virginia Tech Computer Science
2014 Senior Scholar Award, Virginia Tech Computer Science
2014 Honorable Mention, CRA Outstanding Undergraduate Researcher Award
2011 - 2014 Awarded eight undergraduate merit scholarships

Skills

Languages

Bash, C, C++, CSS, Fortran, Haskell, HTML, Java, JavaScript, LaTeX, Lua, Make, Mathematica, Python, R, Scala

Frameworks

Akka, Android SDK/NDK, Caffe, Node.js, NumPy, TensorFlow, Torch7, Pandas, SciPy, scikit-learn, Spark, Spray

Systems

Linux, OSX

Recent Blog Posts

Image Completion with Deep Learning in TensorFlow August 9, 2016
OpenFace 0.2.0: Higher accuracy and halved execution time January 19, 2016
Command Line Music Setup with Python and mpv July 5, 2014

View all

Fun Side Projects


Last updated on 2016-11-14