Xinghao Pan

Electrical & Computer Engineering Department, Carnegie Mellon University

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Papers26 papers

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Perturbed Iterate Analysis for Asynchronous Stochastic Optimization

Horia Mania,Xinghao Pan,Dimitris S. Papailiopoulos,Benjamin Recht,Kannan Ramchandran,Michael I. Jordan

Siam Journal on Optimization, no. 4 (2017): 2202-2229

Cited by87EIBibtex

Hemingway: Modeling Distributed Optimization Algorithms

Xinghao Pan,Shivaram Venkataraman, Zizheng Tai,Joseph Gonzalez

arXiv: Distributed, Parallel, and Cluster Computing, (2017)

Cited by22EIBibtex

Revisiting Distributed Synchronous SGD

Xinghao Pan,Jianmin Chen,Rajat Monga,Samy Bengio, Rafal Józefowicz

arXiv: Learning, (2017)

Cited by8EIBibtex

CYCLADES: Conflict-free Asynchronous Machine Learning

Xinghao Pan, Maximilian Lam,Stephen Tu,Dimitris S. Papailiopoulos,Ce Zhang,Michael I. Jordan,Kannan Ramchandran,Christopher Ré,Benjamin Recht

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 29 (NIPS 2016), (2016): 2568-2576

Cited by52EIBibtex

Parallel Correlation Clustering on Big Graphs

Xinghao Pan,Dimitris S. Papailiopoulos,Samet Oymak,Benjamin Recht,Kannan Ramchandran,Michael I. Jordan

Annual Conference on Neural Information Processing Systems, (2015): 82-90

Cited by61EIBibtex

Parallel Double Greedy Submodular Maximization

Xinghao Pan,Stefanie Jegelka,Joseph E. Gonzalez,Joseph K. Bradley,Michael I. Jordan

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 27 (NIPS 2014), (2014): 118-126

Cited by38EIBibtex

MLI: An API for Distributed Machine Learning

Evan R. Sparks,Ameet Talwalkar,Virginia Smith,Jey Kottalam,Xinghao Pan,Joseph E. Gonzalez,Michael J. Franklin,Michael I. Jordan,Tim Kraska

ICDM, (2013): 1187-1192

Cited by192EIBibtex

Conditions for Convergence in Regularized Machine Learning Objectives

Patrick Hop,Xinghao Pan

CoRR, (2013)

EIBibtex

Optimistic Concurrency Control for Distributed Unsupervised Learning

Xinghao Pan,Joseph E. Gonzalez,Stefanie Jegelka,Tamara Broderick,Michael I. Jordan

NIPS, (2013): 1403-1411

Cited by31EIBibtex

City-scale traffic estimation from a roving sensor network

Javed A Aslam,Sejoon Lim,Xinghao Pan,Daniela Rus

SenSys, pp.141-154, (2012)

Cited by129EIBibtex

A cognitive system for adaptive decision making

Xinghao Pan,Loo-Nin Teow,Kheng Hwee Tan,Ji Hua Brian Ang,Gee Wah Ng

Fusion, pp.1323-1329, (2012)

Cited by5EIBibtex

ASDF: an automated, online framework for diagnosing performance problems

Keith A. Bare,Soila Kavulya,Jiaqi Tan,Xinghao Pan,Eugene Marinelli,Michael P. Kasick,Rajeev Gandhi,Priya Narasimhan

WADS, (2010): 201-226

Cited by4EIBibtex

Structural Change and Interaction Behavior in Multimodal Networks

Loonin Teow,Xinghao Pan,Wenhaw Chong, Belinda Weishan Toh,Eepeng Lim,Jing Jiang,Byungwon On

(2010)

Bibtex

Ganesha: blackBox diagnosis of MapReduce systems

Xinghao Pan,Jiaqi Tan,Soila Kavulya,Rajeev Gandhi,Priya Narasimhan

SIGMETRICS Performance Evaluation Review, no. 3 (2010): 8-13

Cited by91EIBibtex

Kahuna: Problem diagnosis for Mapreduce-based cloud computing environments

Jiaqi Tan,Xinghao Pan,Eugene Marinelli,Soila Kavulya,Rajeev Gandhi,Priya Narasimhan

NOMS, pp.112-119, (2010)

Cited by71EIWOSBibtex

The Blind Men and the Elephant: Piecing Together Hadoop for Diagnosis

Xinghao Pan

(2009)

Cited by19Bibtex

SALSA: Analyzing Logs as StAte Machines 1

Jiaqi Tan,Xinghao Pan,Soila Kavulya,G Rajeev,Priya Narasimhan

operating systems design and implementation, (2009)

Cited by54Bibtex

Mochi: Visual Log-Analysis Based Tools for Debugging Hadoop (CMU-PDL-09-103)

Jiaqui Tan,Xinghao Pan,Soila Kavulya,Rajeev Gandhi,Priya Narasimhan

(2009)

Cited by1Bibtex

Mochi: visual log-analysis based tools for debugging hadoop

Jiaqi Tan,Xinghao Pan,Soila Kavulya,Rajeev Gandhi,Priya Narasimhan

HotCloud, (2009)

Cited by82EIBibtex

SALSA: Analyzing Logs as StAte Machines (CMU-PDL-08-111)

Jiaqi Tan,Xinghao Pan,Soila Kavulya,Rajeev Gandhi,Priya Narasimhan

(2008)

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Papers26 papers

Xinghao Pan