Optimization as estimation with Gaussian processes in bandit settings

Optimization as estimation with Gaussian processes in bandit settings

Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.

Détails bibliographiques
Auteur principal:	Wang, Zi, Ph.D. Massachusetts Institute of Technology
Autres auteurs:	Stefanie Jegelka and Leslie Pack Kaelbling.
Format:	Thèse
Langue:	eng
Publié:	Massachusetts Institute of Technology 2016
Sujets:	Electrical Engineering and Computer Science.
Accès en ligne:	http://hdl.handle.net/1721.1/103668

Documents similaires

Large-margin Gaussian mixture modeling for automatic speech recognition
par: Chang, Hung-An, Ph. D. Massachusetts Institute of Technology
Publié: (2009)

Feedback message passing for inference in Gaussian graphical models
par: Liu, Ying, Ph. D. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publié: (2010)

Optimization techniques for human computation-enabled data processing systems
par: Marcus, Adam, Ph. D. Massachusetts Institute of Technology
Publié: (2013)

Multiscale Gaussian graphical models and algorithms for large-scale inference
par: Choi, Myung Jin, S.M. Massachusetts Institute of Technology
Publié: (2008)

Mechanism design with set-theoretic beliefs
par: Chen, Jing, Ph. D. Massachusetts Institute of Technology
Publié: (2013)

Product perceptual mapping on fashion designs with Gaussian mixture variational autoencoder and triplet loss
par: Wang, Mike,M. Eng.Massachusetts Institute of Technology.
Publié: (2019)

A probabilistic graphical model based data compression architecture for Gaussian sources
par: Lai, Wai Lok, M. Eng. Massachusetts Institute of Technology
Publié: (2018)

Integration of photonic and passive microfluidic devices into lab-on-chip with femtosecond laser materials processing
par: Gu, Yu, Ph.D. Massachusetts Institute of Technology
Publié: (2011)

Robust multi-contact dynamical motion planning using contact wrench set
par: Dai, Hongkai, Ph. D. Massachusetts Institute of Technology
Publié: (2017)

Towards practical theory : Bayesian optimization and optimal exploration
par: Kawaguchi, Kenji, Ph. D. Massachusetts Institute of Technology
Publié: (2016)

Cyber-attack detection and resilient state estimation in power systems
par: Jevtić, Ana,Ph. D.Massachusetts Institute of Technology.
Publié: (2020)

Realtime state estimation for contact manipulation
par: Yu, Kuan-Ting, Ph. D. Massachusetts Institute of Technology
Publié: (2019)

Private sequential search and optimization
par: Xu, Zhi, Ph. D. Massachusetts Institute of Technology
Publié: (2017)

On the power of centralization in distributed processing
par: Xu, Kuang, Ph. D. Massachusetts Institute of Technology
Publié: (2011)

Risk and robust optimization
par: Brown, David Benjamin, Ph. D. Massachusetts Institute of Technology
Publié: (2008)

Polynomial decomposition algorithms in signal processing
par: Su, Guolong, Ph. D. Massachusetts Institute of Technology
Publié: (2013)

Interpretable neural models for natural language processing
par: Lei, Tao, Ph. D. Massachusetts Institute of Technology
Publié: (2017)

Robot learning with strong priors
par: Wang, Zi,Ph.D.Massachusetts Institute of Technology.
Publié: (2020)

Advanced modeling of planarization processes for integrated circuit fabrication
par: Fan, Wei, Ph. D. Massachusetts Institute of Technology
Publié: (2013)

Characterization and analysis of process variability in deeply-scaled MOSFETs
par: Balakrishnan, Karthik, Ph. D. Massachusetts Institute of Technology
Publié: (2012)

Automatically learning optimal formula simplifiers and database entity matching rules
par: Singh, Rohit, Ph. D. Massachusetts Institute of Technology
Publié: (2018)

Unsupervised speech processing with applications to query-by-example spoken term detection
par: Zhang, Yaodong, Ph. D. Massachusetts Institute of Technology
Publié: (2013)

Approximate solution methods for partially observable Markov and semi-Markov decision processes
par: Yu, Huizhen, Ph. D. Massachusetts Institute of Technology
Publié: (2007)

Statistical metrology and process control of quantum devices
par: Walsh, Michael P.,Ph. D.Massachusetts Institute of Technology.
Publié: (2020)

Design, optimization, and applications of few-cycle Ti:Sapphire lasers
par: Chen, Li jin, Ph. D. Massachusetts Institute of Technology.
Publié: (2012)

Embedded trees : estimation of Gaussian processes on graphs with cycles
par: Sudderth, Erik B. (Erik Blaine), 1977-
Publié: (2014)

Dealers, insiders and bandits : learning and its effects on market outcomes
par: Das, Sanmay, 1979-
Publié: (2007)

Speech processing with less supervision : learning from weak labels and multiple modalities
par: Hsu, Wei-Ning,Ph. D.Massachusetts Institute of Technology.
Publié: (2020)

Computational perception of physical object properties
par: Wu, Jiajun, Ph.D. Massachusetts Institute of Technology
Publié: (2016)

Microfluidic platform for rapid biologics activity assessment using molecular charge modulation and electrokinetic concentration based receptor assays
par: Ouyang, Wei, Ph.D. Massachusetts Institute of Technology
Publié: (2016)

Predicting Substrates of [gamma]-secretase in Drosophila/
par: Wang, Yuhao, Ph.D. Massachusetts Institute of Technology
Publié: (2016)

Vuvuzela : scalable private messaging that hides metadata
par: Lazar, David, Ph.D. Massachusetts Institute of Technology
Publié: (2016)

Toward accurate and large-scale silicon photonics
par: Sun, Jie, Ph.D. Massachusetts Institute of Technology
Publié: (2013)

Directed random testing
par: Pacheco, Carlos, Ph.D. Massachusetts Institute of Technology
Publié: (2010)

Fabrication of graphene-on-GaN vertical transistors
par: Zubair, Ahmad, Ph.D. Massachusetts Institute of Technology
Publié: (2015)

Efficient THz lasers and broadband amplifiers based on quantum cascade gain media
par: Cai, Xiaowei, Ph.D. Massachusetts Institute of Technology
Publié: (2015)

Whole genome regulatory variant evaluation for transcription factor binding
par: Zeng, Haoyang, Ph.D. Massachusetts Institute of Technology
Publié: (2015)

Sparkle vision : seeing the world through random specular microfacets
par: Zhang, Zhengdong, Ph.D. Massachusetts Institute of Technology
Publié: (2014)

Algorithms for the analysis of protein interaction networks
par: Singh, Rohit, Ph.D. Massachusetts Institute of Technology
Publié: (2012)

Probabilistic graphical models : distributed inference and learning models with small feedback vertex sets
par: Liu, Ying, Ph. D. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publié: (2014)