Seminars 2020-21

FALL 2020:

Fall Seminar Instructor: Prof. Fushing Hsieh 

  • Thur, Oct 4, 4:10pm: 
    • Speaker: Joy Geng, with Phil Witkowski, Xinger YuCenter for Mind and Brain, UC Davis
      • Title: "Studies of attentional control in human brain and behavior"
      • ABSTRACT
  • Thur, Oct 8, 4:10pm:
    • Speaker: Patrice Koehl, Computer Science / Genome Center, UC Davis
      • Title: "Optimal transports at finite temperature" 
      • ABSTRACT
  • Thur, Oct 15, 4:10pm:
    • Speaker: Troy S. Magney, Department of Plant Sciences
      • Title: “Model-data fusion to understand global carbon cycle patterns and processes”
      • ABSTRACT
  • Thur, Oct 22, 4:10pm:
    • Speaker: Jean-Pierre Fouque, Statistics and Applied Probability, UC Santa Barbara
      • Title: "Linear-Quadratic Stochastic Differential Games on  Directed Chain Networks"
      • ABSTRACT
  • Thur, Oct 29, 4:10pm:
    • Speaker: Lori Lubin, Physics, UC Davis
      • Title: "Understanding Cluster Formation and Galaxy Evolution ... ORELSE"
      • ABSTRACT
  • Thur, Nov 5, 4:10pm:
    • Speaker: Chiung-Yu Huang, Biostatistics, UC San Francisco
      • Title: "Recurrent Events Analysis With Data Collected at Informative Clinical Visits in Electronic Health Records"
      • ABSTRACT
  • Thur, Nov 12, 4:10pm:
    • Speaker: Kenji Sagae, Linguistics, UC Davis
      • Title: "Multilingual Neural Grammars and the Polyglot Machine Advantage"
      • ABSTRACT
  • Thur, Nov 19, 4:10pm:
    • Speaker: Òscar Jordà, Economics, UC Davis
      • Title: "Characterizing the dynamics of an economic system"
      • ABSTRACT
  • Thur, Dec 3, 4:10pm:
    • Speaker: Tyler H. McCormick; Department of Statistics & Sociology & eScience Institute, University of Washington
      • Title: "Identifying the latent space geometry of network models through analysis of curvature"
      • ABSTRACT

 

WINTER 2021:

Winter Seminar Instructor: Prof. Xiucai Ding 

  • Thur, Jan 7, 4:10pm: no seminar
  • Thur, Jan 14, 4:10pm:
    • Speaker: Edgar Dobriban (Statistics, University of Pennsylvania)
      • Title: "On the statistical foundations of adversarially robust learning"
      • ABSTRACT
  • Thur, Jan 21, 4:10pm: 
    • Speaker: Zhenyu Liao (Postdoctoral Scholar, Statistics, UC Berkeley)
      • Title: "Performance-complexity trade-off in large dimensional spectral clustering"
      • ABSTRACT
  • Thur, Jan 28, 4:10pm:
    • Speaker: Zhou Fan (Assistant Professor, Yale University)
      • Title: "Empirical Bayes and Approximate Message Passing algorithms for PCA in high dimensions"
      • ABSTRACT
  • Thur, Feb 4, 4:10pm:  NO SEMINAR (Cancelled)
  • Thur, Feb 11, 4:10pm:
    • Speaker: Akos Lada (Data Science Manager, Facebook)
      • Title: "Facebook's News Feed Ranking and Estimating Long-Run Outcomes"
      • ABSTRACT
  • Thur, Feb 18, 4:10pm: 
    • Speaker: Yingying Fan (Professor, University of Southern California)
      • Title: "Universal Rank Inference via Residual Subsampling with Application to Large Networks"
      • ABSTRACT
  • Thur, Feb 25, 4:10pm:
    • Speaker: Arian Maleki (Associate Professor, Columbia University)
      • Title: "Comparing Variable Selection Techniques Under a High-Dimensional Asymptotic"
      • ABSTRACT
  • Thur, Mar 4, 4:10pm: 
    • Speaker: Fan Yang (Postdoctoral Scholar, University of Pennsylvania)
      • Title: "Tracy-Widom law for random Gram matrices"
      • ABSTRACT
  • Thur, Mar 11, 4:10pm:
    • Speaker: Xiaofeng Shao (Professor, University of Illinois at Urbana-Champaign)
      • Title: "Change-point detection for COVID-19 time series via self-normalization"
      • ABSTRACT
  • Thur, Mar 18, 4:10pm: 
    • Speaker: Ahmed El Alaoui (Assistant Professor, Cornell University)
      • Title: "Estimation, detection, and optimization from random data"
      • ABSTRACT

 

SPRING 2021:

Spring Seminar Instructor: Prof. Jairo Fùquene Patiño

  • Thur, April 1, 4:10pm: 
    • Speaker: Andrew Gelman (Professor, Statistics / Political Science, Columbia University)
      • Title: "What are the most important statistical ideas of the past 50 years?"
      • ABSTRACT
  • Tue, April 6, 1:10pm: JOINT MATH-STAT COLLOQUIUM
    • Speaker: Caroline Uhler (Massachusetts Institute of Technology)
      • Title: "Causal Inference in the Light of Drug Repurposing for COVID-19"
      • ABSTRACT (links to UC Davis Math website)
  • Thur,  April 8, 4:10pm:
    • Speaker: Antonio Linero, (Assistant Professor, Statistics and Data Sciences, University of Texas at Austin)
      • Title: "Bayesian Decision Tree Ensembling Strategies for Nonparametric Problems"
      • ABSTRACT
  • Thur,  April 15, 4:10pm:
    • Speaker: Anirban Bhattacharya, (Associate Professor, Statistics, Texas A&M University)
      • Title: "Statistical and algorithmic guarantees for variational Bayes"
      • ABSTRACT
  • Wed,  April 21, 3:00pm - 6:00pm: UC BERKELEY / UC DAVIS JOINT COLLOQUIUM (not STA 290; hosted by UC Berkeley)
    • Main Speaker: 4:00pm James Sharpnack, (Assistant Professor, UC Davis), "Public health data and trend filtering"
    • Student Presentations:
      • 3:00pm: Qin Ding (UC Davis) "An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling";
      • 3:30pm:  Jake Soloff  (UC Berkeley) "Estimating an Unknown Prior from Heterogeneous Data via Nonparametric Maximum Likelihood"
    • Presented remotely; includes Student Mixer at 2:30pm and post-talk mixer at 5:00pm. 
    • LINKS, SCHEDULE, ABSTRACTS
  • Thur,  April 22, 4:10pm:
    • Speaker: Aukosh Jagannath, (Assistant Professor, University of Waterloo, Canada)
      • Title: "Online SGD on non-convex losses from high-dimensional inference"
      • ABSTRACT
  • Thur,  April 29, 4:10pm:
    • Speaker: Ray Bai, (Assistant Professor, Statistics, University of South Carolina)
      • Title: "Efficient Algorithms and Theory for High-Dimensional Bayesian Varying Coefficient Models"
      • ABSTRACT
  • Thur,  May 6, 4:10pm:
    • Speaker: Sally Paganin, (Research Fellow, Department of Biostatistics, Harvard School of Public Health)
      • Title: "Centered Partition Processes: Informative Priors for Clustering"
      • ABSTRACT
  • Thur,  May 13, 4:10pm:
    • Speaker: Carolina Franco, (Center for Statistical Research and Methodology, US Census Bureau)
      • Title: "Small area estimation in the presence of measurement error in the covariates"
      • ABSTRACT
  • Thur,  May 20, 4:10pm:
    • Speaker: Michele Guindani, (Professor, Statistics, UC Irvine)
      • Title: “A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data”
      • ABSTRACT
  • Thur,  May 27, 4:10pm:
    • Speaker: Ted Enamorado, (Assistant Professor, Political Science, Washington University in St. Louis)
      • Title: "Active Learning for Probabilistic Record Linkage"
      • ABSTRACT
  • Thur,  June 3, 4:10pm:
    • Speaker: Simon Mak, (Assistant Professor, Statistical Science, Duke University
      • Title: "A hierarchical expected improvement method for Bayesian optimization"
      • ABSTRACT
  • Thur,  June 10, 4:10pm:
    • Speaker: Xueying Tang, (Assistant Professor, Mathematics, University of Arizona)
      • Title: "Subtask Analysis of Process Data Through a Predictive Model"
      • ABSTRACT