Statistics Colloquium

For further information and inquiries about building access for persons with disabilities, please contact Shannon Jordan (shannonjordan@uchicago.edu), at 773-702-8333.  If you wish to subscribe to our email list, please visit the following website: https://lists.uchicago.edu/web/info/statseminars.

Format: Typically a speaker will present an introduction and survey of a particular problem, application, or research area of current statistical interest. Seminars usually last 50 minutes, with additional time for discussion. A reception will be held before each seminar

NOTE:  For Zoom sessions, detailed information will be sent via our weekly email distribution.


SPRING QUARTER 2022

MONDAY, May 23, 2022, at 4:30 PM, via Zoom
GUANGLEI HONG, Department of Comparative Human Development, Committee on Education, University of Chicago
"Post-Treatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and A Novel Solution via Sensitivity Analysis"

MONDAY, May 16, 2022, at 4:30 PM, in Jones 303, 5747 S. Ellis  Avenue
MARTIN WAINWRIGHT, Department of Electrical Engineering and Computer Sciences, Department of Statistics, University of California, Berkeley
"When is it good to be a pessimist? Off-policy optimization in reinforcement learning"
Video from the talk

TUESDAY, May 10, 2022, at 4:30 PM, via Zoom
MIKHAIL BELKIN, Halicioğlu Data Science Institute, University of California San Diego
"Neural Networks, Wide and Deep Singular Kernels and Bayes Optimality"
Video from the talk

THURSDAY, May 5, 2022, at 4:30 PM, in Kent 120, 1024 E. 58th Street
Reception following the lecture at 5:30 PM, in Eckhart 209, 5734 S. University Avenue
BILLINGSLEY LECTURES ON PROBABILITY
FREDRIK VIKLUND, Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden
"Interface dynamics and conformal maps"

MONDAY, May 2, 2022, at 4:30 PM, via Zoom
ALEXANDER RAKHLIN, Statistics and Data Science Center, IDSS; Department of Brain & Cognitive Sciences; Laboratory for Information & Decision Systems, Massachusetts Institute of Technology
"On the Statistical Complexity of Interactive Decision-Making"
Video from the talk

MONDAY, April 25, 2022, at 4:30 PM, via Zoom
VITALY FELDMAN, Apple AI Research
"Low-communication Algorithms for Private Federated Data Analysis with Optimal Accuracy Guarantees"
Video from the talk

MONDAY, April 18, 2022, at 4:30 PM, via Zoom
NIHAR B. SHAH, Departments of Machine Learning & Computer Science, Carnegie Mellon University
"Peer Review, Biases, and Statistics"
Video from the talk

MONDAY, APRIL 11, 2022, at 4:30 PM, via Zoom
GUIDO MONTÚFAR, Departments of Mathematics and Statistics, University of California, Los Angeles
"The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs"
Video from the talk

THURSDAY, April 7, 2022, at 3:30 PM, in Jones 303, 5747 S. Ellis Avenue
Reception before the seminar in Jones 304.
The Twenty-first Annual Bahadur Memorial Lecture
MICHAEL A. NEWTON, Departments of Statistics and Biostatistics and Medical Informatics (BMI), University of Wisconsin-Madison
"Can clustering improve the performance of large-scale hypothesis testing?  Ideas from an empirical Bayes lab"

MONDAY, April 4, 2022, at 12:30 PM, via Zoom
ISMAEL CASTILLO, Laboratoire de Probabilités, Statistique et Modélisation, Sorbonne Université
"Bayesian Multiple Testing with Spike and Slab Priors"
Video from the talk

PAST SEMINARS

WINTER QUARTER 2022

THURSDAY, March 10, 2022, at 4:30 PM, In-Person (John Crerar Library, Room 390), and watch via Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
AARON SCHEIN, Postdoctoral Fellow, Columbia University
"Measurement and Experimentation in Complex Sociopolitical Processes"
Host:  Victor Veitch

MONDAY, March 7, 2022, at 4:30 PM, In-Person (John Crerar Library, Room 390), and watch via Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Joint Seminar
YU-XIANG WANG, Eugene Aas Chair Assistant Professor, University of California, Santa Barbara
"Three Challenges in Responsible ML and How to Overcome Them, Provably"

TUESDAY, March 1, 2022, at 4:30 PM, In-Person (John Crerar Library, Room 390), and watch via Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
MATTHEW GOLUB, Postdoctoral Research Associate, Stanford University
"Reverse Engineering Computation in the Brain"
Host: Brent Doiron

MONDAY, February 28, 2022, at 4:30 PM, In-Person (John Crerar Library, Room 390), and watch via Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Joint Seminar
MAHDI SOLTANOLKOTABI, Associate Professor, University of Southern California
"Towards Stronger Foundations for AI and its Applications to the Sciences"
Host: Rebecca Willett

THURSDAY, February 24, 2022, at 4:30 PM, Remote Only: Watch via Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Joint Seminar
MADELEINE UDELL, Associate Professor, Cornell University
"Low Rank Approximation for Faster Convex Optimization"
Host: Rebecca Willett

MONDAY, February 14, 2022, at 4:30 PM, In-Person (John Crerar Library, Room 390), and watch via Zoom
YIHONG WU, Department of Statistics and Data Science, Yale University
"Spectral Graph Matching: Theory and Algorithms"
Recording from the talk

MONDAY, February 7, 2022, at 4:30 PM, In-Person (John Crerar Library, Room 390), and watch via Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
KRIKAMOL MUANDET, Research Group Leader, Max Planck Institute for Intelligent Systems
"Toward Reliable Machine Learning with Kernels"
Host: Victor Veitch

THURSDAY, February 3, 2022, at 3:30 PM, watch via Live Stream and Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
LIHUA LEI, Postdoctoral Researcher, Stanford University
"What Can Conformal Inference Offer To Statistics?"
Host: Dan Nicolae

MONDAY, January 31, 2022, at 4:30 PM, In-Person (John Crerar Library, Room 390), and watch via Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
NIKOLAOS IGNATIADIS, PhD Candidate, Stanford University
"Nonparametric Empirical Bayes Inference"
Host: Matthew Stephens

MONDAY, January 24, 2022, at 4:30 PM, watch via Live Stream and Zoom 
Data Science Institute/Computer Science/Statistics Candidate Seminar
QI LEI, Associate Research Scholar, Princeton University
"Theoretical Foundations of Pretrained Models"
Host: Rebecca Willett

AUTUMN QUARTER 2021

MONDAY, November 29, 2021, at 4:30 PM, Via Zoom
JASON KLUSOWSKI, Department of Operations Research & Financial Engineering, Princeton University
"Consistency of Decision Trees for High Dimensional Data"
Video from the talk

MONDAY, November 15, 2021, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue
XIANG ZHOU, Department of Biostatistics, University of Michigan
"Statistical Methods for Spatial Transcriptomics"
Video from the talk

MONDAY, November 8, 2021 at 12:30 PM, Via Zoom
AXEL MUNK, Department of Mathematics and Computer Science, Georg August University Göttingen and Max Planck Institute for Biophysical Chemistry
"Nanostatistics"
Video from the talk

MONDAY, November 1, 2021, at 4:30 PM, Via Zoom
AHMED EL ALAOUI, Department of Statistics and Data Science, Cornell University
"Optimization and Sampling from Random Quadratic Potentials"
Video from the talk

MONDAY, October 25, 2021, at 4:30 PM, Via Zoom
LORIN CRAWFORD, Microsoft Research New England; Department of Biostatistics, Brown University
"Statistical Frameworks for Variable Selection with 3D Shapes and High-Resolution Imaging"
Video from the talk

MONDAY, October 18, 2021, at 4:30 PM, Via Zoom
ANDREA MONTANARI, Department of Electrical Engineering,
Department of Statistics, and (by courtesy) Department of Mathematics, 
Stanford University
"Tractability, Generalization and Overparametrization in Linear and Nonlinear Models"
Video from the talk

MONDAY, October 11, 2021, at 4:30 PM, Via Zoom
SANDRINE DUDOIT, Department of Statistics, Division of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley
"Learning from Data in Single-Cell Transcriptomics"
Video from the talk

MONDAY, October 4, 2021, at 4:30 PM, Via Zoom
RAFAEL IRIZARRY, Departments of Data Science at Dana-Farber Cancer Institute and Applied Statistics, Harvard University
"Statistical Approaches for Single Cell Technologies"
Video from the talk

SPRING QUARTER 2021

MONDAY, May 24, 2021, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
RICHARD GILL, Mathematical Institute, University of Leiden, Netherlands
"Statistical Issues in Serial Killer Nurse Cases"
Video from the talk (size: 302 MB, extension: mp4)

MONDAY, May 17, 2021,at 4:00 PM, Via Zoom
Joint Seminar with the Stevanovich Center for Financial Mathematics
MARKUS REIß, Institut für Mathematik, Humboldt-Universität zu Berlin
"Testing the Rank of Time-varying Covariance Matrices"
Video from the talk 

MONDAY, May 10, 2021, at 4:00 PM, Via Zoom
LIHUA LEI, Department of Statistics, Stanford University 
"Conformal Inference of Counterfactuals and Time-to-event Outcomes"
Video from the talk (size: 176.2 MB, extension: mp4)

CANCELLED-- MONDAY, May 10, 2021, at 12:00 PM, Via Zoom
AXEL MUNK, Institut für Mathematische Stochastik, Georg-August-Universität Göttingen
"Nanostatistics"

MONDAY, May 3, 2021, at 12:00 PM, Via Zoom
RUTH HELLER, Department of Statistics and Operations Research, Tel-Aviv University, Israel
"Designing Optimal Multiple Testing Procedures"
Video from the talk (size: 159.2 MB, extension: mp4)

MONDAY, April 26, 2021, at 4:00 PM, Via Zoom
AFONSO S. BANDEIRA, Department of Mathematics, ETH Zürich
"Computational Hardness of Hypothesis Testing and Quiet Plantings"
Video from the talk (size: 221 MB, extension: mp4)

MONDAY, April 19, 2021, at 4:00 PM, Via Zoom
PETER BÜHLMANN, Department of Mathematics, ETH Zürich
"Deconfounding"
Video from the talk (size: 385.6 MB, extension: mp4)

MONDAY, April 12, 2021, at 4:00 PM, Via Zoom
STEPHEN BATES, Departments of Statistics and EECS, UC Berkeley
"Distribution-Free, Risk-Controlling Prediction Sets"
Video from the talk (size: 185.5 MB, extension: mp4)

MONDAY, April 5, 2021, at 12:00 PM, Via Zoom
VLADIMIR VOVK, Centre for Reliable Machine Learning and Department of Computer Science, Royal Holloway, University of London
"Conformal Prediction and Testing"
Video from the talk (size: 219 MB, extension: mp4)

WINTER QUARTER 2021

MONDAY, March 8, 2021, at 4:00 PM, Via Zoom
BHASWAR B. BHATTACHARYA, Statistics Department, University of Pennsylvania
"Detection Thresholds for Distribution-Free Non-Parametric Tests: The Curious Case of Dimension 8"
Video from the talk (size: 139.8 MB, extension: mp4)

MONDAY, March 8, 2021, at 2:00 PM, Via Zoom
Joint Seminar with the Department of Computer Science 
ZHUORAN YANG, Department of Operations Research and Financial Engineering, Princeton University
"Demystifying (Deep) Reinforcement Learning: The Pessimist, The Optimist, and Their Provable Efficiency"
Video from the talk (size: 116.5 MB, extension: mp4)

MONDAY, March 1, 2021, at 4:00 PM, Via Zoom
SUMIT MUKHERJEE, Department of Statistics, Columbia University 
"Global Testing for Dependent Bernoullis"
Video from the talk (size: 197.3 MB, extension: mp4)

WEDNESDAY, February 17, 2021, at 4:00 PM, Via Zoom
Joint Seminar with the Department of Computer Science 
SAMORY K. KPOTUFE,  Department of Statistics, Columbia University 
"From Theory to Clustering"
Video from the talk (size: 128.2 MB, extension: mp4)

MONDAY, February 1, 2021, at 4:00 PM, Via Zoom
Joint Seminar with the Department of Computer Science 
MARIYA TONEVA,  Machine Learning Department & The Neuroscience Institute, Carnegie Mellon University
"Data-Driven Transfer of Insight Between Brains and AI Systems"
Video from the talk (size: 113 MB, extension: mp4)

WEDNESDAY, January 27, 2021, at 4:00 PM, Via Zoom
Joint Seminar with the Department of Computer Science 
WEIHAO KONG,  University of Washington
"The Surprising Power of Little Data"
Video from the talk (size: 164.9 MB, extension: mp4)

MONDAY, January 25, 2021, at 4:00 PM, Via Zoom
Joint Seminar with the Department of Computer Science 
REBEKKA BURKHOLZ,  Department of Biostatistics, Harvard T.H. Chan School of Public Health
"Cascade Processes in Machine Learning"
Video from the talk (size: 150.8 MB, extension: mp4)

MONDAY, January 11, 2021, at 4:00 PM, Via Zoom
TETSUYA KAJI,  University of Chicago Booth School of Business
"An Approximate Metropolis-Hastings Algorithm for Simulation-Based Bayesian Inference (with Veronika Ročková)"

AUTUMN QUARTER 2020

Zoom session information will be sent via e-mail weekly. Please subscribe if you are not subscribed already.  https://lists.uchicago.edu/web/subscribe/statseminars

MONDAY, November 30, 2020, at 4:00 PM, Via Zoom
KRISTIAN LUM,  Human Rights Data Analysis Group
"Closer Than They Appear: A Bayesian Perspective on Individual Probabilities in Risk Assessment"

MONDAY, November 23, 2020, at at 4:00 PM, Via Zoom
RUOBIN GONG,  Department of Statistics, Rutgers University
"Towards Good Statistical Inference from Differentially Private Data"
Video from the talk (size: 104.39 MB, extension: mp4)
Slides from the talk

MONDAY, November 16, 2020, at 4:00 PM, Via Zoom
PAUL RATHOUZ,  Department of Population Health, The University of Texas at Austin
"Semiparametric Generalized Linear Models: Small, Large, and Biased Samples"
Video from the talk (size: 169.68 MB, extension: mp4)

MONDAY, November 9, 2020, at 4:00 PM, Via Zoom
DYLAN SMALL,  Department of Statistics, University of Pennsylvania
"Gun Violence Prevention and Statistics"
Video from the talk (size: 147.25 MB, extension: mp4)

MONDAY, November 2, 2020, at 4:00 PM, Via Zoom
JUN LIU,  Department of Statistics, Harvard University
"Multiple Data Splitting for FDR Controls"
Video from the talk  (size: 146.65 MB, extension: mp4)

MONDAY, October 26, 2020, at 4:00 PM, Via Zoom
HONGKAI JI, Department of Biostatistics, John Hopkins Bloomberg School of Public Health
"Single Cell Genomic Data Science Methods for Mapping Gene Regulatory Landscape"
Video from the talk (size: 166.79 MB, extension: mp4)

MONDAY, October 19, 2020, CANCELLED
NATHAN SREBRO, TTIC, Department of Computer Science and Committee on Computational and Applied Mathematics, University of Chicago
"TBA"

MONDAY, October 12, 2020, at 4:00 PM, Via Zoom
RAHUL MAZUMDER, Operations Research and Statistics Group at MIT Sloan School of Management
"Sparse Regression at Scale: Convex and Mixed Integer Programming Perspectives"

MONDAY, October 5, 2020, at 4:00 PM, Via Zoom
SVEN WANG, Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge
"On Polynomial-Time Computation of High-Dimensional Posterior Measures by Langevin-type Algorithms"

SPRING QUARTER 2020 

MONDAY, JUNE 1, 2020, at 4:00 PM, Via Zoom
JOSHUA WEINSTEIN, Department of Medicine, University of Chicago
"Spatio-genetic Imaging with DNA Microscopy"

MONDAY, MAY 18, 2020, at 4:00 PM, Via Zoom 
YUXIN CHEN, Department of Computer Science, University of Chicago
"Algorithmic Aspects of Machine Teaching: Tractability, Interpretability, and Robustness"

MONDAY, May 4, 2020, at 4:00 PM, Via Zoom
ERIC JONAS, Department of Computer Science, University of Chicago
"Machine Learning for Molecular Inverse Problems"

TUESDAY, April 28, 2020, at 4:00 PM, Via Zoom 
BRYON ARAGAM, Booth School of Business at the University of Chicago
"Identifiability of Nonparametric Mixture Models, Clustering, and Semi-supervised Learning"

WINTER QUARTER 2020

MONDAY, March 9, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
FAN LI, Departments of Statistical Science, Biostatistics and Bioinformatics, Duke University
"Balancing Covariate Via Propensity Score Weighting"

THURSDAY, March 5, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
JESSI CISEWSKI-KEHE, Department of Statistics and Data Science, Yale University
"Analyzing Data Full of Holes: Topological Data Analysis"

MONDAY, MARCH 2, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
MARC A. SUCHARD, Departments of Biomathematics, Biostatistics and Human Genetics,  David Geffen School of Medicine at UCLA
"Large-scale Evidence Generation Across a Network of Databases (LEGEND) for Hypertension: Real-world, Reliable and Reproducible"

TUESDAY, February 25, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
AKIHIKO NISHIMURA, Department of Biomathematics, University of California, Los Angeles
"Bayesian Sparse Regression for Large-scale Observational Healthcare Analytics"

MONDAY, February 24, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
JULIA A. PALACIOS, Departments of Statistics and Biomedical Data Science, Stanford University 
"Tajima Coalescent and Statistical Summaries of Unlabeled Genealogies"

WEDNESDAY, February 19, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
TYLER H. MCCORMICK, Departments of Statistics and Sociology, University of Washington
"Using Aggregated Relational Data to Feasibly Identify Network Structure Without Network Data"

MONDAY, February 17, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
COLIN B. FOGARTY, Operations Research and Statistics, MIT Sloan School of Management
"Prepivoting in Finite Population Causal Inference"

MONDAY, February 10, 2020, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue
PETER GRÜNWALD, Machine Learning, Centrum Wiskunde & Informatica; Mathematical Institute, Leiden University
"Safe Testing"

THURSDAY, February 6, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
ARUN KUMAR KUCHIBHOTLA, Statistic Department, The Wharton School, The University of Pennsylvania
"Valid Post-selection Inference: Why and How"

WEDNESDAY, February 5, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
VICTOR VEITCH,  Department of Statistics, Columbia University
"Adapting Black-box Machine Learning Methods for Causal Inference"

MONDAY, February 3, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
Joint Seminar with CAM
FRANCA HOFFMANN,  Department of Computing and Mathematical Sciences, California Institute of Technology
"Gradient Flows: From PDE to Data Analysis."

FRIDAY, January 31, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
YI SUN, Department of Mathematics, Columbia University
"Fluctuations for Products of Random Matrices"

WEDNESDAY, January 29, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
CLAIRE DONNAT, Statistics Department, Stanford University
"Quantifying Uncertainty in Complex Systems with Applications to Brain Connectomics"  

MONDAY, January 27, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
CONG MA, Department of Operations Research and Financial Engineering, Princeton University 
"Statistics Meets Nonconvex Optimization: Computational Efficiency and Uncertainty Quantification"  

THURSDAY, January 23, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
Joint Seminar with CAM
SHAHAR KOVALSKY, Department of Mathematics, Duke University
"Geometry + Optimization: Towards Computational Anatomy"

TUESDAY, January 21, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
YIXIN WANG, Department of Statistics, Columbia University
"The Blessings of Multiple Causes"

THURSDAY, January 16, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
Joint Seminar with CAM
JEREMY G. HOSKINS, Mathematics Department, Yale University
"Elliptic PDEs on Regions with Corners"

WEDNESDAY, January 15, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
Joint Seminar with CAM
LISE-MARIE IMBERT-GÉRARD, Department of Mathematics, University of Maryland
"Wave Propagation in Inhomogeneous Media: An Introduction to Generalized Plane Waves"

MONDAY, January 13, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
SONG MEI, Institute for Computational & Mathematical Engineering and Department of Statistics, Stanford University
"Generalization Error of Linearized Neural Networks: Staircase and Double-descent"

THURSDAY, January 9, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
ALISA KNIZEL, Department of Mathematics, Columbia University
"A Quest for Universality"

MONDAY, January 6, 2020, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
Joint Seminar with CAM
BORIS HANIN, Department of Mathematics, Texas A&M University
"Mathematics of Deep Neural Networks"

AUTUMN QUARTER 2019

TUESDAY, December 3, 2019, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue
MICHAEL BRENNER, Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University
"Machine Learning for Partial Differential Equations"

MONDAY, December 2, 2019, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue
FANG HAN, Department of Statistics, University of Washington
"Marginal and multivariate ranks, optimal transport theory, and Le Cam"

MONDAY, November 25, 2019, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue
HARRISON ZHOU, Department of Statistics and Data Science, Yale University
"Understanding Clustering: The Beginning of A Journey"

FRIDAY, November 22nd, at 3:00 PM, in Jones 303, 5747 S. Ellis Avenue
JICHUN XIE, Department of Biostatistics and Bioinformatics, Duke University
"Controlling False Discovery Rate for Hypotheses with Localizing Structures"

MONDAY, November 18th, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue
DANIEL HSU, Computer Science Department & Data Science Institute, Columbia University
"Predictive Models from Interpolation"

MONDAY, November 11, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
ELIZABETH PURDOM, Department of Statistics, University of California, Berkeley
"Topics in the analysis of high-throughput molecular data and the bootstrap in high dimensions"

MONDAY, November 4, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
SIMON TAVARÉ​, Director, Irving Institute for Cancer Dynamics & Department of Statistics & Systems Biology, Columbia University
"Some Statistical Problems in Cancer Genomics"

CANCELLED - MONDAY, October 28, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
SHAM KAKADE, Departments of Computer Science & Statistics, University of Washington
"TBA"

MONDAY, October 21, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
CHAO GAO, Department of Statistics, University of Chicago
"Robust Estimation: Optimal Rates, Computation and Adaptation"

MONDAY, October 14, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
GUILLAUME POULIOT, Harris School of Public Policy, University of Chicago
"Instrumental Variables Quantile Regression with Multivariate Endogenous Variable"

MONDAY, October 7, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
GENEVERA ALLEN, Department of Statistics, Rice University
"Data Integration: Data-Driven Discovery from Diverse Data Sources"

SPRING QUARTER 2019

MONDAY, May 20, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
SAMUEL KOU, Department of Statistics, Harvard University
"Big data, Google and Disease Detection: A Statistical Adventure"

MONDAY, May 13, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
YUXIN CHEN, Department of Electrical Engineering, Princeton University
"Bridging Convex and Nonconvex Optimization in Noisy Matrix Completion: Stability and Uncertainty Quantification"

THURSDAY, May 9, 2019, at 3:30 PM, in Kent 120, 1020 E. 58th Street
BAHADUR MEMORIAL LECTURES
IAIN JOHNSTONE, Departments of Statistics, Health Research and Policy, Stanford University
"High Dimensional Principal Component Analysis: Biases and Balms"

MONDAY, May 6, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
Reception Before Lecture at 4:00 PM in Jones 111, 5747 S. Ellis Avenue 
BAHADUR MEMORIAL LECTURES
IAIN JOHNSTONE, Departments of Statistics, Health Research and Policy, Stanford University
"High Dimensional Classical Multivariate Analysis: Ladders and Local Asymptotic Normality"

MONDAY, April 29, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
SAYAN MUKHERJEE, Department of Statistical Science, Duke University
"Integral Geometry for Modeling Shapes"

MONDAY, April 22, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
YING NIAN WU, Department of Statistics, University of California, Los Angeles
"A Representational Theory of Grid Cells"

MONDAY, April 15, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
REBECCA STEORTS, Department of Statistical Science, Duke University
"Entity Resolution with Societal Impacts in Machine Learning"

TUESDAY, April 9, 2019, at 11:00 AM, in Kent 120, 1020 E. 58th Street
LIN LIN, Department of Mathematics, University of California, Berkeley
"Feynman Diagrams, Luttinger-Ward Formalism, and Gibbs Measure"

MONDAY, April 8, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
DAVID M. BLEI, Departments of Statistics and Computer Science, Columbia University
"The Blessings of Multiple Causes"

WINTER QUARTER 2019

MONDAY, March 11, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
GREGORY VALIANT, Department of Computer Science, Stanford University
"When Your Big Data Seems Too Small"

MONDAY, March 4, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
MARK VAN DER LAAN, Departments of Biostatistics and Statistics, University of California, Berkeley
"Targeted Minimum Loss Estimation with the Highly Adaptive Lasso: Applications in Causal Inference"

MONDAY, February 25, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
JEFF LEEK, The Johns Hopkins Data Science Lab & Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health
"Data Science Education as a Scalable Economic and Public Health Intervention"

MONDAY, February 11, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
PRAGYA SUR, Department of Statistics, Stanford University
"A Modern Maximum-Likelihood Approach for High-Dimensional Logistic Regression"

WEDNESDAY, February 6, 2019, at 4:00 PM, in Eckhart 133, 5734 S. University Avenue
JONATHAN WEED, The Statistics and Data Science Center & Department of Mathematics, Massachusetts Institute of Technology
"Fast Rates and Fast Algorithms for the Wasserstein Distance"

MONDAY, February 4, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
SUBHABRATA SEN, Microsoft Research Lab – New England & Department of Mathematics, Massachusetts Institute of Technology
"Network Data: Modeling and Statistical Analysis"

THURSDAY, January 31, 2019, at 1:00 PM, in Kent 120, 1020 E. 58th Street
JAMES JOHNDROW, Department of Statistics, Stanford University
"Bayes Shrinkage at GWAS Scale"

MONDAY, January 28, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
JINGSHU WANG, Statistics Department, The Wharton School, The University of Pennsylvania
"Data Denoising for Single-cell RNA Sequencing"

THURSDAY, January 24, 2019, at 4:00 PM, in Eckhart 133, 5734 S. University Avenue
EUGENE KATSEVICH, Department of Statistics, Stanford University
"Multiple Testing for Modern Data: Structure, Curation, and Replicability"

TUESDAY, January 22, 2019, at 4:00 PM, in Eckhart 133, 5734 S. University Avenue
GAL MISHNE, Department of Mathematics, Yale University
"Local Geometric Spectral Data Analysis"

THURSDAY, January 17, 2019, at 4:00 PM, in Eckhart 133, 5734 S. University Avenue
YUEHAW KHOO, Department of Mathematics, Stanford University
"Multi-marginal Optimal Transport, Density Functional Theory, and Convex Relaxation"

MONDAY, January 14, 2019, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
Joint Seminar with the Department of Human Genetics
ALEXANDER YOUNG, Wellcome Trust Centre for Human Genetics, Oxford University, U.K.
"Disentangling Nature and Nurture Using Genomic Family Data"

AUTUMN QUARTER 2018

MONDAY, December 3, 2018, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
PETER HOFF, Department of Statistical Science, Duke University
"FAB Tests and Intervals for Multilevel Data"

MONDAY, November 26, 2018, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
JINCHI LV, Departments of Data Sciences and Operations, University of Southern California
"Asymptotic Theory of Eigenvectors for Large Random Matrices with Applications to Network Inference"

MONDAY, November 19, 2018, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
MIAOYAN WANG, Department of Statistics, University of Wisconsin-Madison
"Learning from Binary Multiway Data: Probabilistic Tensor Decomposition and its Statistical Optimality"

MONDAY, November 12, 2018, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
NANCY ZHANG, Statistics Department, The Wharton School, The University of Pennsylvania
"Transfer Learning in Single Cell Transcriptomics"

THURSDAY, November 8, 2018, at 4:00 PM, in Kent 120, 1024 E. 58th Street
Reception following the seminar at 5:00 PM, in Jones 111, 5747 S. Ellis Avenue
BILLINGSLEY LECTURES ON PROBABILITY IN HONOR OF PATRICK BILLINGSLEY
ALLAN SLY, Department of Mathematics, Princeton University
"Phase Transitions of Random Constraint Satisfaction Problems"

MONDAY, November 5, 2018, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
WEIJIE SU, Statistics Department, The Wharton School, The University of Pennsylvania
"Uncertainty Quantification for Online Learning"

MONDAY, October 29, 2018, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
PANAGIOTIS TOULIS, The University of Chicago Booth School of Business
"Randomization Tests for Causal Inference with Interference Between Units"

MONDAY, October 22, 2018, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
BOAZ NADLER, Department of Computer Science and Applied Mathematics, Weizmann Institute of Science
"Unsupervised Ensemble Learning"

MONDAY, October 15, 2018, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
EDGAR DOBRIBAN, Statistics Department, The Wharton School, The University of Pennsylvania
"How to Deal with Big Data? Understanding Large-scale Distributed Regression"

MONDAY, October 8, 2018, at 4:30 PM, in Eckhart 133, 5734 S. University Avenue
Joint Seminar with the Stevanovich Center
ARNOLDO FRIGESSI, Department of Biostatistics, University of Oslo
"Towards Personalized Computer Simulation of Breast Cancer Treatment: A Multi-scale Pharmacokinetic and Pharmacodynamic Model Informed by Multi-type Patient Data"

OTHER RELATED SEMINARS