STA 290 Seminars

Statistics Seminar Series

WINTER 2019:

Winter Seminar Instructor: Prof. Wolfgang Polonik

Location: MSB 1147, Colloquium Room. Held on Thursdays at 4:10pm (unless otherwise stated). The first seminar of Winter 2019 will be held on January 10th.

Students who wish to register for STA 290 credit (1 unit; 2 units with instructor's permission) may use CRN 52911IMPORTANT: For the requirement for the obtaining 2 units of credit for STA 290, please contact Prof. Polonik.

  • Thur, Jan 10, 4:10pm:
    • Larry Wasserman; Carnegie Mellon University
      • Title: "Assumption Free Predictive Inference"
      • ABSTRACT
  • Thur, Jan 17, 4:10pm:
    • Debashis Mondal, Oregon State University
      • Title: "Markov random fields, geostatistics, and matrix-free computation"
      • ABSTRACT
  • Thur, Jan 24, 4:10pm:
    • Robin Gong, Rutgers University
      • Title: “Modeling uncertainty with sets of probabilities”
      • ABSTRACT
  • Thur, Jan 31, 4:10pm:
    • Johannes Krebs, Statistics, UC Davis
  • Thur, Feb 7, 4:10pm:
    • Jonathan Taylor, Stanford University
  • Thur, Feb 14, 4:10pm:
    • Takuya Ura, (Economics, UC Davis)
      • Title: ”Inference based on Kotlarski's Identity”
      • ABSTRACT 
  • Thur, Feb 21, 4:10pm:
    • Vladas Pipiras, University of North Carolina
      • Title: TBA
  • Thur, Feb 28, 4:10pm:
    • Matthew Reimherr,  Penn State University
      • Title: TBA
  • Thur, Mar 7, 4:10pm:
    • Naoki Saito, Math, UC Davis
      • Title: TBA
  • Thur, Mar 14, 4:10pm:
    • Javier Arsuaga, Math, UC Davis
      • Title: TBA

ALL SEMINARS ARE OPEN TO THE PUBLIC. Seminar speakers / titles / abstracts updated during quarter.

Previous seminars this year:

FALL 2018:

Fall Seminar Instructor: Prof. Thomas Lee

Location: MSB 1147, Colloquium Room. Held on Thursdays at 4:10pm (unless otherwise stated). The first seminar of Fall 2018 will be held on September 27th.

Students who wish to register for STA 290 credit (1 unit; 2 units with instructor's permission) may use CRN 40825. For the requirement for the obtaining 2 credits for STA 290 please contact Prof. Lee.

  • Thur, Sept 27, 4:10pm:
    • James Sharpnack; Department of Statistics, UC Davis
      • Title: "Learning Patterns for Detection with Multiscale Scan Statistics"
      • ABSTRACT
  • Thur, Oct 4, 4:10pm:
    • Przemek Biecek; Warsaw University of Technology and University of Warsaw
      • Title: "Black-box openers: How to explain predictions from complex ML models?"
      • ABSTRACT
  • Thur, Oct 11, 4:10pm:
    • Yong Jae Lee; Department of Computer Science, UC Davis
      • Title: "Learning to localize and anonymize objects with indirect supervision"
      • ABSTRACT
  • Thur, Oct 18, 4:10pm:
    • Jan Hannig; Department of Statistics and Operations Research, UNC Chapel Hill
      • Title: "Angle Based Joint and Individual Variation Explained"
      • ABSTRACT
  • Thur, Oct 25, 4:10pm:
    • Jiming Jiang; Department of Statistics, UC Davis
      • Title: "Sumca: Simple, Unified, Monte-Carlo Assisted Approach to Second-order Unbiased MSPE Estimation"
      • ABSTRACT
  • Thur, Nov 1, 4:10pm:
    • Oscar Madrid Padilla; Department of Statistics, University of Berkeley
      • Title: "Fused lasso on network estimation problems"
      • ABSTRACT
  • Thur, Nov 8, 4:10pm:
    • Lifeng Lai; Department of Electrical and Computer Engineering, UC Davis
      • Title: “Distributed Statistical Inference with Compressed Data”
      • ABSTRACT
  • Thur, Nov 15, 4:10pm:
    • Paul Baines; GE Digital/Wise.io
      • Title: "Industrial Machine Learning"
      • ABSTRACT
  • Thur, Nov 29, 4:10pm:
    • Bin Nan; Department of Statistics, UC Irvine
      • Title: "Conditional modeling of longitudinal data with terminal event"
      • ABSTRACT
  • Thur, Dec 6, 4:10pm:
    • Silvia Crivelli; Computational Chemistry, Materials & Climate, Lawrence Berkeley National Laboratory
      • Title: “Machine learning approaches for protein classification and protein-ligand binding prediction”
      • ABSTRACT

 

ALL SEMINARS ARE OPEN TO THE PUBLIC. Seminar speakers / titles / abstracts to be updated soon.

For seminar abstracts from previous quarters, please visit the Recent Seminar Abstract Library.