STA 290 Seminars

Statistics Seminar Series

 

Upcoming seminars this academic year:

SPRING 2020:

Spring Seminar Instructor: Prof. Shizhe Chen

PLEASE NOTE: for the first half of Spring (and possibly later) all seminars will be held remotely. ALL Spring 2020 seminars will be accessible through Zoom. A Zoom link to join the seminars will be provided to all students registered in STA 290 as well as others who wish to attend. To receive the Zoom link and password please contact the instructor Shizhe Chen (szdchen@ucdavis.edu) or Pete Scully (pscully@ucdavis.edu).

Held on Thursdays at 4:10pm (unless otherwise stated).  CRN : 82412. Please register for 1 unit. If you need to register for two units please contact Prof Shizhe Chen for approval.

  • Thur, April 2, 4:10pm: 
    • Speaker: Matteo Farne, Visiting Assistant Professor, Statistics, UC Davis
      • Title: "Covariance matrix and factor model estimation by composite minimization"
      • ABSTRACT
  • Thur, April 9, 4:10pm:
    • Speaker: Patrick Wolfe, Professor of Statistics and Computer Science, Purdue University
      • Title / Abstract TBA
  • Thur, April 16, 4:10pm: 
    • Speaker: Can Le, UC Davis
      • Title TBA
      • ABSTRACT to come
  • Thur, April 23, 4:10pm: 
    • Speaker: Scott Linderman, Stanford University
      • Title TBA
      • ABSTRACT to come
  • Thur, April 30, 4:10pm: 
    • Speaker: Yi-An Ma, Google Research / UC San Diego
      • Title TBA
      • ABSTRACT to come
  • Thur, May 7, 4:10pm: 
    • Speaker: TBA
      • Title / Abstract TBA
  • Thur, May 14, 4:10pm 
    • Speaker: Kengo Kato, Cornell
      • Title / Abstract TBA
  • Thur, May 21, 4:10pm: 
    • Speaker: TBA
      • Title / Abstract TBA
  • Thur, May 28, 4:10pm: 
    • Speaker: Vaidotas Characiejus, Visiting Assistant Professor, Statistics, UC Davis
      • Title / Abstract TBA
  • Thur, June 4, 4:10pm: 
    • Speaker: TBA
      • Title / Abstract TBA

Previous seminars...

WINTER 2020:

Winter Seminar Instructor: Prof. Krishna Balasubramanian

  • Mon, Jan 6, 4:10pm: 
    • Speaker: Matteo Sesia, PhD Candidate, Stanford University
      • Title: “Developments in knockoff generation and genetic mapping”
      • ABSTRACT
  • Wed, Jan 8, 10:30am:
    • Speaker: Nina Miolane, Postdoctoral Fellow, Stanford University
      • Title: "Geometric statistics for shape analysis of bioimaging data"
      • ABSTRACT
  • Thur, Jan 9, 4:10pm: 
    • Speaker: Kris Sankaran, Postdoctoral Fellow, Quebec AI Institute
      • Title: “Navigation and Evaluation in High-Dimensional Data”
      • ABSTRACT
  • Thur, Jan 16, 4:10pm:
    • Speaker: Lin Liu, Postdoctoral Fellow, Harvard T.H.Chan School of Public Health
      • Title: “The possibility of nearly assumption-free inference in causal inference”
      • ABSTRACT
  • Wed Jan 22, 10:10am:
    • Speaker: Claire Donnat, PhD Candidate, Stanford University
      • Title: “Quantifying Uncertainty in Complex Systems with Applications to Brain Connectomics”
      • ABSTRACT
  • Thur, Jan 23, 4:10pm:
    • Speaker: Johannes Royset, Department of O.R., Naval Postgraduate School
      • Title: "Variational analysis in statistics"
      • ABSTRACT
  • Fri, Jan 24, 1:30pm:
    • Speaker: Pengkun Yang, Postdoctoral Research Associate, Princeton University
      • Title:  “Algorithmic approaches to high-dimensional statistics” 
      • ABSTRACT
  • Wed Jan 29, 10:10am:
    • Speaker: Song Mei, PhD Candidate, Stanford University
      • Title: "Generalization error of linearized neural networks: staircase and double-descent"
      • ABSTRACT
  • Thur, Jan 30, 4:10pm: 
    • Speaker: Yilin Zhang, Department of O.R., Naval Postgraduate School
      • Title: "Understanding Regularized Spectral Clustering via Graph Conductance"
      • ABSTRACT
  • Fri, Jan 31, 10:10am:
    • Speaker: Nicholas Syring, Postdoctoral Lecturer, Washington University in Saint Louis
      • Title: “Gibbs posterior distributions”
      • ABSTRACT
  • Tue Feb 4, 10:10am:
    • Speaker: Cong Ma, PhD Candidate, Princeton University
      • Title: "Statistics Meets Nonconvex Optimization: Computational Efficiency and Uncertainty Quantification"
      • ABSTRACT
  • Thur, Feb 6, 4:10pm: 
    • Speaker: Vladimir Koltchinskii, Mathematics, Georgia Tech
      • Title "Bias reduction and efficiency in estimation of smooth functionals of high-dimensional parameters"
      • ABSTRACT
  • ​​Thur, Feb 13, 4:10pm: 
    • 2020 JOINT MATH/STATS COLLOQUIUM
    • Speaker: Bin Yu, Statistics UC Berkeley
      • Title "Veridical Data Science"
      • ABSTRACT
  • Thur, Feb 20, 4:10pm (location MSB 2112): 
    • Speaker: Jelena Bradic, Mathematics, UC Dan Diego
      • Title "Causal Learning: excursions in double robustness"
      • ABSTRACT
  • Thur, Feb 27, 4:10pm: 
    • Speaker: Michael Stein, University of Chicago
      • Title "Models for distributions when extremes are of interest"
      • ABSTRACT
  • Tue Mar 3, 4:10pm: 
    • Speaker: David Gamarnik, Sloan, Massachusetts Institute of Technology
      • Joint Statistics - MADDD Seminar
      • Title "Algorithmic Challenges in High-Dimensional Inference Models. Insights from the Statistical Physics"
      • ABSTRACT
  •  Thur, Mar 5, 4:10pm: 
    • Speaker: Kenneth L. Clarkson, Distinguished Research Staff Member, IBM Research
      • Title: "Dimensionality reduction for Tukey regression"
      • ABSTRACT
  • Thur, Mar 12, 4:10pm: 
    • Speaker: Aditya Guntuboyina, Statistics UC Berkeley
      • Title "Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation"
      • ABSTRACT
  • Fri, Mar 13, 10:00am (this seminar will be presented remotely, in MSB 1147)*: 
    • Speaker: Mina Karzand, Postdoctoral Research Associate, University of Wisconsin, Madison
      • Title “Focused learning in Graphical models”
  • Mon, Mar 16, 10:00am (this seminar will be presented remotely, in MSB 1147)*: 
    • Speaker: Xiucai Ding, Postdoctoral Research Associate, Duke University
      • Title “Complex data analysis for medical sciences: Sensor fusion for high dimensional data”
  • Wed Mar 18, 10:00am (this seminar will be presented remotely, in MSB 1147)*: 
    • Speaker: Jairo Fuquene Patino, Postdoctoral Research Associate, Duke University
      • Title “Focused learning in Graphical models”
      • *To join one of these three talks (Karzand, Ding, Fuquene Patino) by Zoom please contact Pete Scully pscully@ucdavis.edu for details.
  • Thur, Mar 19, 4:10pm: NO SEMINAR (Cancelled)

...

FALL 2019:

Fall Seminar Instructor: Prof. Miles Lopes

  • Thur, Sept 26, 4:10pm: NO SEMINAR
  • Thur, Oct 3, 4:10pm:
    • Speaker: Regina Liu, Distinguished Professor, Statistics, Rutgers University
      • Title: “Prediction with Confidence – General Framework for Predictive Inference”
      • ABSTRACT
  • Thur, Oct 10, 4:10pm:
    • Speaker: Pantelis Loupos, UC Davis Graduate School of Management
      • Title: “Starting Cold: The Power of Social Networks in Predicting Non-Contractual Customer Behavior”
      • ABSTRACT
  • Thur, Oct 17, 4:10pm:
    • Speaker: Wenxin Zhou, Mathematics, UC San Diego
      • Title: “Smoothed Quantile Regression: Fast Computation, Bootstrap Inference and Nonconvex Regularization”
      • ABSTRACT
  • Thur, Oct 24, 4:10pm:
    • Speaker: Julie Novak, Netflix
      • Title: “Statistical Methodologies in Streaming Experimentation at Netflix”
      • ABSTRACT
  • Thur, Oct 31, 4:10pm:
    • Speaker: Xiaodong Li, Statistics, UC Davis
      • Title: "Spectral methods in networks: hierarchical structures and risk estimation"
      • ABSTRACT
  • Thur, Nov 7, 4:10pm:
    • Speaker: Thomas Strohmer, Mathematics, UC Davis
      • Title: "A rigorous framework for data clustering"
      • ABSTRACT
  • Thur, Nov 14, 4:10pm: 
    • Speaker: Dalia Ghanem, Agricultural and Resource Economics, UC Davis
      • Title: “Causal Inference using Panel Data with Applications to Experimental and Environmental Economics”
      • ABSTRACT
  • Tue, Nov 19, 1:10pm:
    • Speaker: Sanjay Chaudhuri, Statistics, National University of Singapore
      • Title: "Empirical Likelihood Under Mis-specification: Degeneracies and Random Critical Points:
      • ABSTRACT
  • Thur, Nov 21, 4:10pm:
    • Speaker: Grace Yi, Computer Science Statistical and Actuarial Sciences, Western University
      • Title: “Making Sense of Noisy Data: Why and How?”
      • ABSTRACT
  • Tue, Nov 26, 4:10pm (Location: MSB 1143): Joint Statistic-Econometrics Colloquium
    • Speaker: Dimitris Politis, Distinguished Professor, Mathematics, UC San Diego
      • Title: "Model-free prediction and regression with an application to locally stationary time series"
      • ABSTRACT
  • Thur, Dec 5, 4:10pm:
    • Speaker: Krishna Balasubramanian, Statistics, UC Davis
      • Title: “Normal Approximations for Stochastic Iterative Estimators (and Martingales)”
      • ABSTRACT

Please note: the Stat/Biostat Joint Seminar on Tuesday October 8 has been postponed.

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

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