FALL 2020:
Fall Seminar Instructor: Prof. Fushing Hsieh
- Thur, Oct 4, 4:10pm:
- Speaker: Joy Geng, with Phil Witkowski, Xinger Yu, Center for Mind and Brain, UC Davis
- Title: "Studies of attentional control in human brain and behavior"
- ABSTRACT
- Speaker: Joy Geng, with Phil Witkowski, Xinger Yu, Center for Mind and Brain, UC Davis
- Thur, Oct 8, 4:10pm:
- Speaker: Patrice Koehl, Computer Science / Genome Center, UC Davis
- Title: "Optimal transports at finite temperature"
- ABSTRACT
- Speaker: Patrice Koehl, Computer Science / Genome Center, UC Davis
- 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
- Speaker: Troy S. Magney, Department of Plant Sciences
- 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
- Speaker: Jean-Pierre Fouque, Statistics and Applied Probability, UC Santa Barbara
- Thur, Oct 29, 4:10pm:
- Speaker: Lori Lubin, Physics, UC Davis
- Title: "Understanding Cluster Formation and Galaxy Evolution ... ORELSE"
- ABSTRACT
- Speaker: Lori Lubin, Physics, UC Davis
- 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
- Speaker: Chiung-Yu Huang, Biostatistics, UC San Francisco
- Thur, Nov 12, 4:10pm:
- Speaker: Kenji Sagae, Linguistics, UC Davis
- Title: "Multilingual Neural Grammars and the Polyglot Machine Advantage"
- ABSTRACT
- Speaker: Kenji Sagae, Linguistics, UC Davis
- Thur, Nov 19, 4:10pm:
- Speaker: Òscar Jordà, Economics, UC Davis
- Title: "Characterizing the dynamics of an economic system"
- ABSTRACT
- Speaker: Òscar Jordà, Economics, UC Davis
- 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
- Speaker: Tyler H. McCormick; Department of Statistics & Sociology & eScience Institute, University of Washington
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
- Speaker: Edgar Dobriban (Statistics, University of Pennsylvania)
- Thur, Jan 21, 4:10pm:
- Speaker: Zhenyu Liao (Postdoctoral Scholar, Statistics, UC Berkeley)
- Title: "Performance-complexity trade-off in large dimensional spectral clustering"
- ABSTRACT
- Speaker: Zhenyu Liao (Postdoctoral Scholar, Statistics, UC Berkeley)
- 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
- Speaker: Zhou Fan (Assistant Professor, Yale University)
- 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
- Speaker: Akos Lada (Data Science Manager, Facebook)
- 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
- Speaker: Yingying Fan (Professor, University of Southern California)
- Thur, Feb 25, 4:10pm:
- Speaker: Arian Maleki (Associate Professor, Columbia University)
- Title: "Comparing Variable Selection Techniques Under a High-Dimensional Asymptotic"
- ABSTRACT
- Speaker: Arian Maleki (Associate Professor, Columbia University)
- Thur, Mar 4, 4:10pm:
- Speaker: Fan Yang (Postdoctoral Scholar, University of Pennsylvania)
- Title: "Tracy-Widom law for random Gram matrices"
- ABSTRACT
- Speaker: Fan Yang (Postdoctoral Scholar, University of Pennsylvania)
- 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
- Speaker: Xiaofeng Shao (Professor, University of Illinois at Urbana-Champaign)
- Thur, Mar 18, 4:10pm:
- Speaker: Ahmed El Alaoui (Assistant Professor, Cornell University)
- Title: "Estimation, detection, and optimization from random data"
- ABSTRACT
- Speaker: Ahmed El Alaoui (Assistant Professor, Cornell University)
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
- Speaker: Andrew Gelman (Professor, Statistics / Political Science, Columbia University)
- 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)
- Speaker: Caroline Uhler (Massachusetts Institute of Technology)
- 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
- Speaker: Antonio Linero, (Assistant Professor, Statistics and Data Sciences, University of Texas at Austin)
- Thur, April 15, 4:10pm:
- Speaker: Anirban Bhattacharya, (Associate Professor, Statistics, Texas A&M University)
- Title: "Statistical and algorithmic guarantees for variational Bayes"
- ABSTRACT
- Speaker: Anirban Bhattacharya, (Associate Professor, Statistics, Texas A&M University)
- 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
- Speaker: Aukosh Jagannath, (Assistant Professor, University of Waterloo, Canada)
- 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
- Speaker: Ray Bai, (Assistant Professor, Statistics, University of South Carolina)
- 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
- Speaker: Sally Paganin, (Research Fellow, Department of Biostatistics, Harvard School of Public Health)
- 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
- Speaker: Carolina Franco, (Center for Statistical Research and Methodology, US Census Bureau)
- 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
- Speaker: Michele Guindani, (Professor, Statistics, UC Irvine)
- 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
- Speaker: Ted Enamorado, (Assistant Professor, Political Science, Washington University in St. Louis)
- Thur, June 3, 4:10pm:
- Speaker: Simon Mak, (Assistant Professor, Statistical Science, Duke University
- Title: "A hierarchical expected improvement method for Bayesian optimization"
- ABSTRACT
- Speaker: Simon Mak, (Assistant Professor, Statistical Science, Duke University
- 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
- Speaker: Xueying Tang, (Assistant Professor, Mathematics, University of Arizona)