Seminars 2022-23

FALL 2022:

Fall Seminar Instructor: Prof. Jane-Ling Wang

  • Thur, Sept 22, 4:10pm - MSB 1147 
    • Speaker: Jing Lei (Statistics, Carnegie Mellon University)
      • Title: "A Conformal-Based Two-Sample Conditional Distribution Test"
      • ABSTRACT
  • Thur, Sept 29, 4:10pm - MSB 1147 
    • Speaker: Shizhe Chen (Statistics, UC Davis)
      • Title: "Semiparametric estimation for dynamic networks with shifted connecting intensities"
      • ABSTRACT
  • Thur, Oct 6, 4:10pm - MSB 1147 
    • Speaker: Peng Ding (Statistics, UC Berkeley)
      • Title: "Interpretable sensitivity analysis for the Baron-Kenny approach to mediation with unmeasured confounding"
      • ABSTRACT
  • Thur, Oct 13, 4:10pm - MSB 1147 
    • Speaker: Xiucai Ding
      • Title: "Curse of dimensionality and PCA: 20 years on spiked covariance matrix model"
      • ABSTRACT
  • Thur, Oct 20, 4:10pm - MSB 1147 
    • Speaker: Ruoqi Yu (Statistics, UC Davis)
      • Title: "Balancing weights in factorial observational studies"
      • ABSTRACT
  • Thur, Oct 27 - 2:10pm - MSB 1147 (note: different seminar time) 
    • Speaker: Qiyang Han (Rutgers University)
      • Title: "Universality of regularized regression estimators in high dimensions"
      • ABSTRACT
  • Thur, Nov 3, 4:10pm - MSB 1147 
    • Speaker: Jairo Fúquene Patiño (Statistics, UC Davis)
      • Title: "Bayesian methods to estimate the completeness of death registration"
      • ABSTRACT
  • Thur, Nov 10, 4:10pm - MSB 1147 
    • Speaker: Mina Karzand (Statistics, UC Davis)
      • Title: "In formation-theoretically Optimal Sequential Recommendations"
      • ABSTRACT
  • Tue, Nov 15, 4:10pm - MSB 1147 
    • Speaker: Zhenhua Lin (Statistics and Data Science, National University of Singapore)
      • Title: "Optimal One-pass Nonparametric Estimation Under Memory Constraint"
      • ABSTRACT
  • Thur, Nov 17, 4:10pm - MSB 1147 
    • Speaker: Xiao Hui Tai (Statistics, UC Davis)
      • Title: "Civil Conflict Affects Seasonal Labor Flows"
      • ABSTRACT
  • Thur, Nov 24 - NO SEMINAR (Thanksgiving) 
  • Thur, Dec 1, 4:10pm - MSB 1147 
    • Speaker: Can Le (Statistics, UC Davis)
      • Title: "Network analysis: Overview and new developments"
      • ABSTRACT

WINTER 2023:

Winter Seminar Instructor: Prof. Xiao Hui Tai

  • Mon, Jan 9, 11:00am - MSB 1147 
    • Speaker: Spencer Frei (Statistics, UC Berkeley)
      • Title: "Statistical and computational phenomena in deep learning"
      • ABSTRACT
  • Wed, Jan 11, 11:00am - MSB 1147 
    • Speaker: Ricardo Masini (Princeton University)
      • Title: "Distributional Counterfactual Analysis in High-Dimensional Setup"
      • ABSTRACT
  • Thur, Feb 12, 4:10pm - MSB 1147 - No Seminar
  • Fri, Jan 13, 11:00am - MSB 1147  
    • Speaker: Yuling Yan (Princeton University)
      • Title: "Inference and Uncertainty Quantification for Low-Rank Models"
      • ABSTRACT
  • Wed, Jan 18, 11:00am - MSB 1147 
    • Speaker: Yandi Shen (University of Chicago)
      • Title: "Universality of regularized estimators in high dimensions"
      • ABSTRACT
  • Thur, Jan 19, 4:10pm - MSB 1147 - No Seminar
  • Fri, Jan 20, 11:00am - MSB 1147  
    • Speaker: Bingkai Wang (Univ. Pennsylvania)
      • Title: "Model-robust and efficient covariate adjustment for cluster-randomized trials"
      • ABSTRACT
  • Mon, Jan 23, 11:00am - MSB 1147 
    • Speaker: Matteo Bonvini (Carnegie Mellon University)
      • Title: "Optimal Subgroup Identification"
      • ABSTRACT
  • Wed, Jan 25, 11:00am - MSB 1147 
    • Speaker: Ana Kenney (Statistics, UC Berkeley)
      • Title: "Leveraging problem structure to improve feature recommendations in biomedical research"
      • ABSTRACT
  • Thur, Jan 26, 4:10pm - MSB 1147 - No Seminar
  • Fri, Jan 27, 11:00am - MSB 1147   
    • Speaker: Yue Xing (Purdue University)
      • Title: "Statistical Understanding of Adversarial Training"
      • ABSTRACT
  • Wed, Feb 1, 11:00am - MSB 1147 
    • Speaker: Zhipeng Lou (Princeton University)
      • Title: "Ranking Inference Based on Multiway Comparisons"
      • ABSTRACT
  • Thur, Feb 2, 4:10pm - MSB 1147 - No Seminar 
  •  
  • Thur, Feb 9 4:10pm - MSB 1147 
    • Speaker: Peter Kramlinger (Statistics, UC Davis)
      • Title: "Model Selection and Inference based on the Lasso "
      • ABSTRACT
  • Tue, Feb 16, 4:10pm - MSB 1147 
    • Speaker: Sebastian Kühnert (Statistics, UC Davis)
      • Title: "Advances in Parameter and Covariance Estimation of Functional Time Series"
      • ABSTRACT
  • Thur, Feb 23, 4:10pm - MSB 1147 - No regular seminar: (Chair's Conversation with Graduate Students)
  • Thur, Mar 2, 4:10pm - MSB 1147 
    • Speaker: Elad Romanov (Stanford University)
      • Title: "Optimal Singular Value Thresholding and Principal Component Selection in Correlated Noise"
      • ABSTRACT
  • Tue, Mar 7, 4:10pm - MSB 1147 
    • Speaker: Nina Dörnemann (Ruhr-Universität Bochum; visiting Statistics, UC Davis)
      • Title: "Linear spectral statistics of sequential sample covariance matrices"
      • ABSTRACT
  • Thur, Mar 9 4:10pm - MSB 1147 
    • Speaker: Sangwon Hyun (UC Santa Cruz)
      • Title: "Learning the ocean's microbial ecology using statistical mixture models"
      • ABSTRACT
  • Thur, Mar 16, 4:10pm - MSB 1147 
    • Speaker: Alden Green (Stanford University)
      • Title: "The Voronoigram and the Graph KS test: Two optimal approaches to TV regularization"
      • ABSTRACT

SPRING 2023:

Spring Seminar Instructor: Prof. Ruoqi Yu

  • Thur, April 6, 4:10pm - MSB 1147 
    • Speaker: Milad Bakhshizadeh (Statistics, Stanford University)
      • Title: "Exponential tail bounds and Large Deviation Principle for Heavy-Tailed U-Statistics"
      • ABSTRACT
  • Thur, April 13, 4:10pm - MSB 1147 
    • Speaker: Dominik Rothenhäusler (Statistics, Stanford University)
      • Title: "Quantifying distributional uncertainty"
      • ABSTRACT
  • Tue, April 18, 4:10pm - MSB 1147 
    • Speaker: Yuval Benjamini (Statistics and Data Science, The Hebrew University of Jerusalem, Israel)
      • Title: "A random-class model for evaluating highly multi-class classification tasks"
      • ABSTRACT
  • Wed, April 19, 4:00pm - BERKELEY/DAVIS JOINT COLLOQUIUM: (Held at UC Berkeley)
    • Speaker: Xiaodong Li (Statistics, UC Davis)
      • Title: "SNR Estimation under High-dimensional Linear Models"
      • Abstract/Event Info (links to UC Berkeley website)
  • Thur, April 20, 4:10pm - MSB 1147 
    • Speaker: Guo Yu (Statistics and Applied Probability, UC Santa Barbara)
      • Title: "Sparse and positive-definite estimation for large covariance matrices with repeated measurements"
      • ABSTRACT
  • Thur, April 27, 4:10pm - MSB 1147 
    •  Speaker: Rajarshi Mukherjee (Biostatistics, Harvard University) (talk ahead of Peter Hall Conference)
      • Title: "On Inference in Observational Studies"
      • ABSTRACT
  • Thur, May 4, 4:10pm - MSB 1147 
    • Speaker: Sam Pimentel (UC Berkeley)
      • Title: "Covariate-adaptive randomization inference in matched designs"
      • ABSTRACT
  • Fri, May 5, 3:10pm - MSB 1147 
    • Speaker: Sanjay Chaudhuri  (University of Nebraska, Lincoln & National University of Singapore)
      • Title: "Some Results on Comparison of Dependence for Gaussian Graphical Markov Models"
      • ABSTRACT
  • Thur, May 11, 4:10pm - MSB 1147 
    • Speaker: Aidan Milliff (Shorenstein Asia-Pacific Research Center, Stanford University)
      • Title: "Who Flees Conflict? A Big Data Approach to the Determinants of Forced Migration"
      • ABSTRACT
  • Tue, May 16, 12:10pm - MSB 1147 - MATH/STAT JOINT SYMPOSIUM (remote via Zoom) 
    • Speaker: Michael Bronstein (Computing, Imperial College London)
      • Title: "Physics-inspired Learning on Graphs"
      • ABSTRACT (links to Math Dept)
  • Thur, May 18, 4:10pm - MSB 1147 
    • Speaker: Stefan Wager (Operations, Information, and Technology, Stanford Graduate School of Business)
      • Title: "Policy Learning under Biased Sample Selection"
      • ABSTRACT
  • ​​​​Thur, May 25, 4:10pm - MSB 1147
    • Speaker: Raymond Wong (Statistics, Texas A&M University)
      • Title: "Balancing Weights for Offline Reinforcement Learning"
      • ABSTRACT
  • Thur, June 1, 4:10pm - MSB 1147 
    • Speaker: Mijke Rhemtulla (Psychology, UC Davis)
      • Title: "Consequences of Mistaking the Measurement Model in SEM, Alternatives to Common Factors, and a Method for Model Selection"
      • ABSTRACT
  • Tue, June 6, 4:10pm - MSB 1147 
    • Speaker: Arup Bose (Indian Statistical Institute, Kolkata)
      • Title: "Limiting spectral distribution of random matrices with independent entries"
      • ABSTRACT
  • Thur, June 8, 4:10pm - MSB 1147 
    • Speaker: Jeffrey S. Hoch (Public Health Sciences, UC Davis)
      • Title: "How the net benefit framework addresses challenges in the analysis of cost-effectiveness data"
      • ABSTRACT