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Data Science Seminar

The Data Science Seminar is evolved from the former Statistical Machine Learning Seminar which covered topics in statistical theory that was important for machine learning research as well as development and applications of machine learning techniques in interdisciplinary research. The scope of the Data Science Seminar has been broadened to facilitate dialogue among different communities in the data science circle.

It is listed as course MATH 568.

Location: Whitney 100E (See the directions to the department)
Time: Tuesday 11:45 am –12:45 pm
Organizer: Sanjeena Dang

See also the Statistics Seminar.
An internal Machine Learning Working Group meeting is held when no seminar talk is scheduled.
See Previous talks in the Data Science Seminar and even earlier talks.

Spring 2019

  • March 05, 2019
    Speaker: Rebecca Nugent (Carnegie Mellon University)
    Topic: Before Teaching Data Science, Let’s First Understand How People Do It
  • March 26, 2019
    The Dean's Speaker Series in Statistics and Data Science
    Speaker: Regina Y. Liu (Rutgers University)
    Topic: Fusion Learning: Efficient Combination of Inferences from Diverse Data Sources
  • April 9, 2019
    Speaker: David Hunter (Pennsylvania State University)
    Topic: Multivariate Nonparametric Mixture Models
  • April 16, 2019
    The Dean's Speaker Series in Statistics and Data Science
    Speaker: David Madigan (Columbia University)
    Topic: Towards honest inference from real-world healthcare data
  • April 23, 2019
    Speaker: Daphney-Stavroula Zois (SUNY Albany)
    Topic: Spatiotemporal Quickest Change Detection for Traffic Accident Nowcasting
  • April 30, 2019
    Speaker: Lin Yao (Binghamton University)
    Topic: TBA

Fall 2019

Fall 2018

  • October 9, 2018
    The Dean's Speaker Series in Statistics and Data Science
    Speaker: Sidney Resnick (Cornell University)
    Location: Old Champlain Atrium (unusual location)
    Topic: Fitting the Linear Preferential Attachment Model for Social Network Growth
  • October 23, 2018
    The Dean's Speaker Series in Statistics and Data Science
    Speaker: David Ruppert (Cornell University)
    Topic: Density Estimation with Noisy Data
  • November 13, 2018
    Speaker: Yudong Chen (Cornell University)
    Topic: Byzantine-Robust Distributed Learning with Non-converxity


Spring 2018

  • January 30
    Speaker: Qiqing Yu (Binghamton University)
    Topic: Identifiability Conditions For The Linear Regression Model Under Right Censoring
  • February 20
    Speaker: Yinsong Chen (Binghamton University)
    Topic:The Conductance and Mixing Time
  • March 13
    Speaker: Jiexin Duan (Purdue University)
    Topic: Large-Scale Nearest Neighbor Classification with Statistical Guarantee
  • March 20
    Speaker: Yuan Fang (Binghamton University)
    Topic: Bayesian Approach to Parameter Estimation for the mixtures of Multivariate Normal Inverse Gaussian Distributions
  • April 10
    ​Speaker:​ Leila Setayeshgar (Providence College)
    Topic: Large Deviations for a Class of Stochastic Semilinear Partial Differential Equations
  • April 17
    Speaker: Wenbo Wang (Binghamton University)
    Topic: A look at distance-weighted discrimination
  • April 24
    Speaker: Haomiao Meng (Binghamton University)
    Topic: Multicategory Angle-based Large-margin Classification
  • May 1
    Speaker: Chen Liang (Binghamton University)
    Topic: Goodness of fit tests for clustered spatial point processes


Fall 2017

  • September 19
    Speaker: Dan Yang (Rutgers University)
    Topic: Autoregressive Model for Matrix Valued Time Series
  • September 26
    Speaker: Ji Meng Loh (New Jersey Institute of Technology)
    Topic: Single-index model for inhomogeneous spatial point processes
  • November 14
    Speaker: Weijie Su (Wharton School of the University of Pennsylvania)
    Topic: TBA
seminars/datasci.txt · Last modified: 2019/04/09 15:15 by aleksey