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Previous talks in the Data Science Seminar

Spring 2017

  • January 17
    NO SEMINAR OR GROUP MEETING
  • March 7
    WINTER BREAK
  • March 21
    Speaker: Utkarsh Dang (Mathematical Sciences and CLT at Binghamton University)
    Topic: Tools for Efficient Statistical Computing in R
    Abstract
  • March 28
    Speaker: Yunzhang Zhu (Ohio State University)
    Topic: Maximum Likelihood Inference for a Large Precision Matrix
    Abstract
  • April 4
    Speaker: Guanhua Yan (CS at Binghamton University)
    Topic: Improving Efficiency of Link Clustering on Multi-Core Machines
    Abstract
  • April 11
    SPRING BREAK
  • April 18
    Speaker: Changqing Cheng (SSIE at Binghamton University)
    Topic: Heterogeneous Recurrence Monitoring of Dynamic Transients in Ultraprecision Machining Processes
    Abstract
  • April 20 (special time: 1:15 – 2:15 pm)
    Speaker: Qiusheng Wu (Geography at Binghamton University)
    Topic: Environmental Monitoring and Analysis with Geospatial Big Data Powered by Google Earth Engine
    Abstract
  • April 25
    Speaker: Lingzhou Xue (Pennsylvania State University)
    Topic: Sufficient Forecasting Using Factor Models
    Abstract
  • May 2
    No Data Science seminar. There is a capstone seminar at noon and an admission to candidacy exam at 1:30 pm.
  • May 9
    Speaker: Yuying Xie (Michigan State University)
    Topic: Joint Estimation of Multiple Dependent Gaussian Graphical Models with Applications to Mouse Genomics
    Abstract

Previous talks in the Statistical Machine Learning Seminar

Fall 2016

  • September 27
    Speaker: Wei Qian (Rochester Institute of Technology)
    Topic: Sufficient Dimension Reduction in High Dimension
    Abstract
  • October 18
    Speaker: Yang Feng (Columbia University)
    Topic: Community detection with nodal information
    Abstract
  • October 25
    Speaker: Guan Yu (University at Buffalo)
    Topic: Supervised Learning Incorporating Graphical Structure among Predictors
    Abstract
  • November 1
    Speaker: Yu Chen (ECE at Binghamton University)
    Topic: Enabling Smart Urban Surveillance at The Edge
    Abstract
  • November 8
    Speaker: Chengbin Deng (Geography at Binghamton University)
    Topic: Use of Big Geospatial Data for Better Mapping and Understanding Urban Environment
    Abstract
  • November 15
    Speaker: Ziang Zhang (ECE at Binghamton University)
    Topic: Asymptotical Frequency Synchronization of Kuramoto Oscillators by Topology Evolution
    Abstract
  • December 06
    Speaker: Yang Ning (Cornell University)
    Topic: A General Framework for High-Dimensional Inference and Multiple Testing
    Abstract

Spring 2016

  • February 23
    Speaker: Xin Qi (Mathematical Sciences)
    Topic: RE: Joint estimation of multiple graphical models
    Abstract
  • March 1
    Speaker: Wenbo Wang (Mathematical Sciences)
    Topic: RE: Multicategory Angle-based Large-margin Classification and Reinforced SVM
    Abstract
  • March 8
    Speaker: Lin Yao (Mathematical Sciences)
    Topic: RE: Sparse Regression Incorporating Graphical Structure among Predictors
    Abstract
  • March 15
    Speaker: Junyi Dong (Mathematical Sciences)
    Topic: Diagnostic Plotting Methods for Proportional Hazards Models With Time-dependent Covariates or Time-varying Regression Coefficients
    Abstract
  • March 22
    Speaker: Grace Wang (Syracuse University)
    Topic: ConceFT: Concentration of Frequency and Time via a multitapered synchrosqueezed transform
    Abstract
  • April 12
    Speaker: Ruiqi Liu (Mathematical Sciences)
    Topic: TBD
    Abstract
  • April 19
    Speaker: Rachael Kline (Mathematical Sciences)
    Topic: RE: Joint Estimation of Multiple Precision Matrices with Common Structures
    Abstract
  • April 26
    Speaker: Wolfgang Wefelmeyer (Universit?t zu K?ln)
    Topic: Density estimators in regression models with errors in covariates
    Abstract
  • May 10 (Ph.D. dissertation defense)
    Time: 12-2 pm
    Location: WH 100E
    Speaker: Qinggang Diao (Mathematical Sciences)
    Topic: Cox proportional hazards model with time-dependent covariates
    Abstract

Fall 2015

  • September 29
    Speaker: Xu Chu (Mathematical Sciences)
    Topic: Lasso, AdaLasso and Sure Independence Screening
    Abstract
  • October 6
    Speaker: Wenbo Wang (Mathematical Sciences)
    Topic: Selection consistency of lasso and Stability Selection
    Abstract
  • October 13
    Speaker: Wenming Deng (Mathematical Sciences)
    Topic: The Bolasso, the Dantzig selector and more on Stability Selection
    Abstract
  • October 20
    Speaker: Xin Qi (Mathematical Sciences)
    Topic: On False Discovery Rate (I)
    Abstract
  • October 27
    Speaker: Lin Yao (Mathematical Sciences)
    Topic: On False Discovery Rate (II)
    Abstract
  • November 3
    Speaker: Xiaojie Du (Binghamton University)
    Topic: Inference About the Slope in Linear Regression with Missing Responses: An Empirical Likelihood Approach.
    Abstract
  • November 10
    Speaker: Junyi Dong (Mathematical Sciences)
    Topic: The Family of Distributions With Proportional Hazards
    Abstract
  • December 1
    Speaker: Chen Liang (Mathematical Sciences)
    Topic: On Information Criterion
    Abstract
  • December 8
    Speaker: Baiyang Qi (Mathematical Sciences)
    Special Location: WH G02
    Topic: Building a model for scoring 20 or more runs in a baseball game
    Abstract

Fall 2014

  • September 9
    Speaker: Ganggang Xu (Mathematical Sciences)
    Topic: Asymptotic optimality and efficient computation of the leave-subject-out cross-validation
    Abstract
  • September 11 (talk in the Statistics Seminar)
    Time: 1:15-2:15 pm (NOTE SPECIAL DAY AND TIME)
    Speaker: Guang Cheng (Purdue University)
    Topic: Semi-Nonparametric Inference for Massive Data
    Abstract
  • September 23
    Speaker: Wei Sun (Purdue University)
    Topic: Causal Inference Framework for Complex Advertising Effect Measurement
    Abstract
  • October 29
    Note for special day, time & location.
    Time: 12:00 - 1:30
    Location: OW-G002
    Speaker: Rob Graessle, MathWorks Application Engineer
    Topic: Machine Learning with MATLAB
    Abstract: Learn about machine learning techniques available in MATLAB and how you can use them to quickly explore your data, evaluate algorithms, compare the results, and apply the best technique to your problem.
    Poster
    Lunch will be provided. Please register at this link: http://www.mathworks.com/seminars/BU2014
    Walk-in is welcome.
    The time of the session has been changed due to the change of venue in response to the unexpected number of registrations.
  • November 18
    Speaker: Ming Yang (Computer Science)
    Topic: Multi-task learning with Gaussian Matrix Generalized Inverse Gaussian Model
    Abstract
  • THIS TALK IS POSTPONED TO SPRING
    Speaker: Yingming Li (Computer Science)
    Topic: Scientific Articles Recommendation
    Abstract
seminars/datasci/previous.txt · Last modified: 2017/06/12 11:53 by qiao