On practical robustness of machine learning systems

On practical robustness of machine learning systems

This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.

Бібліографічні деталі
Автор:	Ilyas, Andrew.
Інші автори:	Constantinos Daskalakis.
Формат:	Дисертація
Мова:	eng
Опубліковано:	Massachusetts Institute of Technology 2019
Предмети:	Electrical Engineering and Computer Science.
Онлайн доступ:	https://hdl.handle.net/1721.1/122911

Схожі ресурси

Robust accelerated gradient methods for machine learning
за авторством: Fallah, Alireza.
Опубліковано: (2019)

Principled approaches to robust machine learning and beyond
за авторством: Li, Jerry Zheng
Опубліковано: (2019)

PreCog : a robust machine learning system to predict failure in a virtualized environment
за авторством: Rogal, Adam (Adam R.)
Опубліковано: (2009)

Building efficient and practical machine learning systems
за авторством: Hu, Qinghao
Опубліковано: (2023)

Natural robustness of machine learning in the open world
за авторством: Wei, Hongxin
Опубліковано: (2023)

Application of part-of-speech tagger in robust machine translation system
за авторством: Park, Sung S. (Sung Sim), 1972-
Опубліковано: (2014)

Efficient and Robust Algorithms for Practical Machine Learning
за авторством: Bao, Yujia
Опубліковано: (2022)

Robust AI: security and privacy issues in machine learning
за авторством: Chattopadhyay, Nandish
Опубліковано: (2023)

Improving the robustness of machine learning system through convolutional neural network
за авторством: Chia, Daryl Jing
Опубліковано: (2019)

Advances in the M-machine runtime system
за авторством: Shultz, Andrew Lloyd
Опубліковано: (2008)

Robust learning and segmentation for secure understanding
за авторством: Martin, Ian Stefan
Опубліковано: (2006)

A system for storage and analysis of machine learning operations
за авторством: Subramanyam, Harihar G
Опубліковано: (2018)

Machine learning inspired synthetic biology: neuromorphic computing in mammalian cells
за авторством: Moorman, Andrew(Andrew Robert)
Опубліковано: (2021)

Machine learning blocks
за авторством: Collazo Santiago, Bryan Omar
Опубліковано: (2015)

Practical robustness measures in multivariable control system analysis
за авторством: Lehtomaki, Norman A. (Norman August)
Опубліковано: (2005)

Robust end-to-end learning for autonomous vehicles
за авторством: Amini, Alexander Andre
Опубліковано: (2018)

Understanding and mitigating unintended demographic bias in machine learning systems
за авторством: Sweeney, Christopher(Christopher J.),M. Eng.Massachusetts Institute of Technology.
Опубліковано: (2019)

A system for privacy-preserving machine learning on personal data
за авторством: Cyphers, Bennett James
Опубліковано: (2018)

Increasing the robustness of networked systems
за авторством: Kandula, Srikanth
Опубліковано: (2009)

Robust services in dynamic systems
за авторством: Rodrigues, Rodrigo Seromenho Miragaia, 1975-
Опубліковано: (2006)

Measuring justice in machine learning
за авторством: Lundgard, Alan.
Опубліковано: (2021)

Learning with kernel machine architectures
за авторством: Evgeniou, Theodoros K. (Theodoros Kostantinos), 1974-
Опубліковано: (2014)

Multi-modal and deep learning for robust speech recognition
за авторством: Feng, Xue, Ph. D. Massachusetts Institute of Technology
Опубліковано: (2018)

Feature Factory : a collaborative, crowd-sourced machine learning system
за авторством: Wang, Alex Christopher
Опубліковано: (2016)

Machine learning on Web documents
за авторством: Shih, Lawrence Kai, 1974-
Опубліковано: (2005)

Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods
за авторством: Padhy, Shakti P., та інші
Опубліковано: (2025)

Robust vector sensor array processing and performance analysis
за авторством: Poulsen, Andrew Joseph
Опубліковано: (2009)

Applications of machine learning : basketball strategy
за авторством: Narayan, Santhosh.
Опубліковано: (2019)

Machine learning for detection of fake news
за авторством: O'Brien, Nicole (Nicole J.)
Опубліковано: (2018)

Robust motion estimation in the presence of fixed pattern noise
за авторством: Copeland, Andrew David, 1978-
Опубліковано: (2014)

Learning generalizable device placement algorithms for distributed machine learning
за авторством: Addanki, Ravichandra.
Опубліковано: (2019)

Robustness analysis for identification and control of nonlinear systems
за авторством: Tobenkin, Mark M
Опубліковано: (2014)

Robust stability of a class of nonlinear systems
за авторством: Gonçalves, Jorge Manuel Mendes Silva
Опубліковано: (2005)

On Robust control designs for infinite dimensional systems
за авторством: Lee, Wing Hong Ricky
Опубліковано: (2005)

Speech recognition system robustness to microphone variations
за авторством: Chang, Jane W. (Jane Wen), 1970-
Опубліковано: (2007)

Mobile distributed machine learning system
за авторством: Le Phuoc, Hoang Long
Опубліковано: (2018)

Optimizing a start-stop system to minimize fuel consumption using machine learning
за авторством: Hollingsworth, Noel
Опубліковано: (2014)

GENERALIZING ROBUSTNESS VERIFICATION FOR MACHINE LEARNING
за авторством: Mohapatra, Jeet
Опубліковано: (2022)

Deep learning with physical and power-spectral priors for robust image inversion
за авторством: Deng, Mo,Ph. D.Massachusetts Institute of Technology.
Опубліковано: (2020)

Machine learning at the operating room of the future : a comparison of machine learning techniques applied to operating room scheduling
за авторством: Davies, Samuel Ingraham, 1980-
Опубліковано: (2005)