**Summer 2024**

**September**

**Monday, September 23, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue**

**Statistics Special Colloquium**

Jingshu Wang, Department of Statistics, The University of Chicago

"TBA"

**Thursday, September 26, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue**

**Statistics Special Colloquium**

Yi Sun, Department of Statistics, The University of Chicago

"TBA"

**Monday, September 30, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue**

**Statistics Special Colloquium**

Claire Donnat, Department of Statistics, The University of Chicago

"TBA"

**Autumn 2024**

**October**

**Thursday, October 10, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue**

**Statistics Special Colloquium**

Daniel Sanz-Alonso, Department of Statistics, Committee on Computational and Applied Mathematics, University of Chicago

"TBA"

The following calendar contains events included in our weekly statseminars mailing list. If you wish to subscribe to our listserv, please visit the following website: https://lists.uchicago.edu/web/info/statseminars.

**Past Seminars**

**Past Seminars**### Autumn Quarter 2020

**October**

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"

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 19, 2020, CANCELLED

Nathan Srebro, TTIC, Department of Computer Science and Committee on Computational and Applied Mathematics, University of Chicago

"TBA"

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)

**November**

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, 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 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 23, 2020, 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 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"

### Winter Quarter 2021

**January**

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)"

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)

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)

**February**

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, 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)

**March**

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)

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 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)

**April**

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)

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 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 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)

### Spring Quarter 2021

**May**

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)

**Cancelled--** Monday, May 10, 2021, at 12:00 PM, Via Zoom** **

Axel Munk, Institut für Mathematische Stochastik, Georg-August-Universität Göttingen

"Nanostatistics"

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)

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 24, 2021, at 4:00 PM, in Jones 303, 5747 S. Ellis Avenue

Richard GillI, Mathematical Institute, University of Leiden, Netherlands

"Statistical Issues in Serial Killer Nurse Cases"

Video from the talk (size: 302 MB, extension: mp4)

### Autumn Quarter 2021

**October**

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

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 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 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

**November**

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, 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 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 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

### Winter Quarter 2022

**January**

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

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

**February**

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, 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

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

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 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

**March**

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, 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"

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

### Spring Quarter 2022

**April**

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

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 11, 2022, at 4:30 PM, via Zoom

Guido Montufar, 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

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 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

**May**

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

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"

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

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

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"

### Autumn Quarter 2022

**October**

Monday, October 3, 2022, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue

*Refreshments before the seminar in Jones 304 at 4:00 PM. *

Chao Gao, Departments of Statistics, The University of Chicago

"Detection and Recovery of Sparse Signal Under Correlation"

Monday, October 10, 2022, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue

*Refreshments before the seminar in Jones 304 at 4:00 PM. *

Daniela Witten, Departments of Biostatistics and Statistics, University of Washington

"Double dipping: problems and solutions, with application to single-cell RNA-sequencing data"

Monday, October 17, 2022, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue

*Refreshments before the seminar in Jones 304 at 4:00 PM. *

Philippe Rigollet, Departments of Mathematics, MIT

"The sample complexity of learning transport maps"

Monday, October 24, 2022, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue

*Refreshments before the seminar in Jones 304 at 4:00 PM. *

Zongming Ma, Department of Statistics and Data Science, The Wharton School, University of Pennsylvania

"Matching and integration of datasets with low-rank signals and applications in single-cell data analysis"

Monday, October 31, 2022, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue

*Refreshments before the seminar in Jones 304 at 4:00 PM. *

Hongtu Zhu, Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina

"Statistical Analysis of Shape Data in Large-Scale Biomedical Studies"

**November**

Monday, November 7, 2022, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue

*Refreshments before the seminar in Jones 304 at 4:00 PM. *

Kathryn Roeder, Department of Statistics, Carnegie Mellon University

"Model-free prediction test and distribution-free independence test for high dimension data with applications to genomics data"

Monday, November 14, 2022, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue

*Refreshments before the seminar in Jones 304 at 4:00 PM. *

Will Fithian, Department of Statistics, University of California, Berkeley

"Conditional calibration: controlling FDR under dependence, uniformly improving knockoffs, and estimating model selection FDR"

Monday, November 28, 2022, at 4:30 PM, in Jones 303, 5747 S. Ellis Avenue

*Refreshments before the seminar in Jones 304 at 4:00 PM. *

Mladen Kolar, Econometrics and Statistics, University of Chicago Booth School of Business

"Adaptive Stochastic Optimization with Constraints"

### Winter Quarter 2023

**January**

Tuesday, January 10, 2023, at 2:00 PM, in Jones 303, 5747 S. Ellis Ave

Kevin Lin, Department of Statistics and Data Science, The Wharton School- University of Pennsylvania

“Quantifying common and distinct information in multi-modal single-cell data via matrix factorization”

Thursday, January 12, 2023, at 4:00 PM, in Jones 303, 5747 South Ellis Ave

CAM Colloquium

Di Fang,** **Simons Institute for the Theory of Computing and Department of Mathematics, University of California, Berkeley

"When Numerical Analysis Meets Quantum Algorithms for Hamiltonian Simulation"

Tuesday, January 17, 2023, at 4:00 PM, in Jones 303, 5747 South Ellis Ave

CAM Colloquium

Gary Choi,** **Department of Mathematics, Massachusetts Institute of Technology

"Geometric and Topological Design of Kirigami Metamaterials"

Wednesday, January 18, 2023, at 2:00 PM, in Jones 303, 5747 S. Ellis Ave.

Fan Bu, Department of Statistics, University of California, Los Angeles

“Statistical Methods for Observational Data on Infectious Diseases”

Thursday, January 19, 2023, at 4:00 PM, in Jones 303, 5747 South Ellis Ave

CAM Colloquium

Laurel Ohm,** **Mathematics Department, Princeton University

"A PDE Perspective on the Hydrodynamics of Flexible Filaments"

Friday, January 20, 2023, at 2:00 PM, in Jones 303, 5747 S. Ellis Ave

Raaz Dwivedi, Computer Science & Statistics/Electrical Engineering & Computer Sciences, Harvard University /MIT

“From HeartSteps to HeartBeats: Personalized Decision-making”

Monday, January 23, 2023 at 2:00 PM, in Jones 303, 5747 S. Ellis Ave

Zhimei Ren, Department of Statistics, University of Chicago

"Stable Variable Selection with Knockoffs"

Wednesday, January 25, 2023, at 10:00 AM in Jones 303, 5747 S. Ellis Ave

Theodore Misiakiewicz, Statistics Department, Stanford University

“New statistical and computational phenomena from Deep Learning”

**February**

Monday, February 6, 2023 at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Alessandro Rinaldo, Department of Statistics and Data Science, Carnegie Mellon University

"High-dimensional CLTs: near-optimal rates and modern inference for OLS regression"

Friday, February 10, 2023, at 12:30 PM, in Jones 303, 5747 S. Ellis Ave

Xinran Li, Department of Statistics, University of Illinois Urbana-Champaign

"Rerandomization and heterogeneous treatment effects in modern experiments"

Monday, February 13, 2023 at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Matthias Katzfuss, Department of Statistics, Texas A&M University

"Scalable Gaussian-Process Inference via Sparse Inverse Cholesky Factorization"

Tuesday, February 14, 2023 at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Gemma Moran, Data Science Institute, Columbia University

“Identifiable deep generative models via sparse decoding”

Monday, February 20, 2023 at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Chao Ma, Department of Mathematics, Stanford University

“Implicit bias of optimization algorithms and generalization of over-parameterized neural networks”

Monday, February 27, 2023 at 4:30 PM** **in Jones 303, 5747 S. Ellis Ave

Frederic Koehler, Department of Computer Science, Stanford University

"Towards the Statistically Principled Design of ML Algorithms"

**March**

Thursday, March 2, 2023 at 2:00 PM in Jones 303, 5747 S. Ellis Ave

Kristy Choi, Department of Computer Science, Stanford University

“Harnessing Computational Creativity with Controllable Generation”

Monday, March 6, 2023 at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Aldo Pacciano, Postdoctoral Researcher, Microsoft Research NYC

“Learning Systems in Adaptive Environments. Theory, Algorithms and Design”

### Spring Quarter 2023

**March**

Monday, March 20, 2023, at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Art Owen, Department of Statistics, Stanford University

"Tie-breaker Designs"

Tuesday, March 21, 2023, at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Jian Ding, School of Mathematical Sciences, Peking University

“A tour in combinatorial statistics: from shotgun assembly to graph matching”

Monday, March 27, 2023, at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Yuting Wei, Department of Statistics and Data Science, The Wharton School, University of Pennsylvania

"A Non-asymptotic Framework for Approximate Message Passing Algorithm"

**April**

Monday, April 3, 2023, at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Molly Offer-Westort, Department of Political Science, University of Chicago

"Design of adaptive experiments for policy learning and evaluation"

Monday, April 10, 2023, at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Lars Peter Hansen, Department of Statistics, University of Chicago/Department of Economics, University of Chicago Booth School of Business

"Risk, Ambiguity, and Misspecification: Decision Theory, Robust Control, and Statistics"

Monday, April 17, 2023, at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Ruodu Wang, Department of Statistics and Actuarial Science, University of Waterloo

“E-backtesting”

Monday, April 24, 2023, at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Xihong Lin, Department of Biostatistics, Harvard University

“Ensemble methods for testing a global null with applications to whole genome sequencing studies”

**May**

Monday, May 1, 2023, at 4:30 PM** **in Jones 303, 5747 S. Ellis Ave

Bahadur Memorial Lectures

Sara van de Geer, Department of Mathematics, ETH Zürich

“Logistic regression with small Bayes error”

Tuesday, May 2, 2023, at 4:00 PM in Jones 303, 5747 S. Ellis Ave

Yair Goldberg, Department of Mathematics, ETH Zürich

"Waning immunity of the BNT162b2 vaccine and the Israeli decision on a booster campaign"

Thursday, May 4, 2023, at 3:30 PM, in Jones 303, 5747 S. Ellis Ave

Bahadur Memorial Lectures

Sara van de Geer, Department of Mathematics, ETH Zürich

“Small noise, no regularization”

Monday, May 8, 2023, at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Johannes Schmidt-Hieber, Department of Statistics, University of Twente

"Statistical learning in biological neural networks"

Monday, May 15, 2023, at 4:30 PM in Jones 303, 5747 S. Ellis Ave

Peng Ding, Department of Statistics, University of California Berkeley

“Interpretable sensitivity analysis for the Baron–Kenny approach to mediation with unmeasured confounding”

Thursday, May 18, 2023, at 4:30 PM, in Math/Stat 112, 5727 S. University Avenue

Billingsley Lectures on Probability

Reception following the lecture in the Reading Room, Math/Stat 101, 5727 South University Avenue

Russell Lyons, Department of Mathematics, Indiana University

“Voronoi Tessellations without Nuclei”

**Autumn 2023**

**October**

Monday, October 2, 2023, at 11:30 AM, Jones 303, 5747 S. Ellis Ave.

Ryan Tibshirani, Department of Statistics, University of California- Berkeley

"How many parameters does your interpolator use? Revisiting degrees of freedom in the wake of overparametrized machine learning"

Monday, October 9, 2023, at 11:30 AM, Jones 303, 5747 S. Ellis Ave.

Sabyasachi Chatterjee, Department of Statistics, University of Illinois Urbana-Champaign

"Theory for Cross Validation in Nonparametric Regression"

Monday, October 23, 2023, at 11:30 AM, Jones 303, 5747 S. Ellis Ave.

Morgane Austern, Department of Statistics, Harvard University

"Novel results for uncertainty quantification."

Monday, October 30, 2023, at 11:30 AM, Jones 303, 5747 S. Ellis Ave.

Liza Levina, Department of Statistics, University of Michigan

"Latent space models for multiplex networks"

**November**

**CANCELLED **~~Monday, November 6, 2023, at 11:30 AM, Jones 303, 5747 S. Ellis Ave.~~

Susan Murphy, Department of Statistics and Computer Science, Harvard University

"TBA"

Monday, November 13, 2023, at 11:30 AM, Jones 303, 5747 S. Ellis Ave.

Subhro Ghosh, Department of Mathematics/Dept of Statistics and Data Science, National University of Singapore

"The unreasonable effectiveness of negative association"

Thursday, November 30, 2023, at 4:00 PM, Jones 303, 5747 S. Ellis Ave.

**Joint Colloquium with The Committee on Computational and Applied Mathematics**

Anna Gilbert,** **Department of Electrical Engineering, Yale University

"Project and Forget: Solving Large-Scale Metric Constrained Problems"

**Winter 2024**

**January**

Thursday, January 4, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)**

Dan Mikulincer, MIT Mathematics

"Diffusion-based probabilistic flows and low distortion mappings"

Monday, January 8, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)**

Lingfu Zhang, Department of Statistics, University of California, Berkeley

"Probabilistic Perspective Toward Last Passage Percolation and KPZ"

Thursday, January 11, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)**

Montie Avery, Department of Mathematics and Statistics, Boston University

"Universal spreading into unstable states"

Tuesday, January 16, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)**

Yizhe Zhu, Department of Mathematics, University of California, Irvine

"Asymmetry Helps: Non-Backtracking Spectral Methods for Sparse Matrices and Tensors"

Thursday, January 18, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM) **

Nicholas Boffi, Courant Institute of Mathematical Sciences

“On flows and diffusions: from the many-body Fokker-Planck equation to stochastic interpolants”

Monday, January 22, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)**

Ernest Ryu, Department of Mathematical Sciences, Seoul National University

"Toward a grand unified theory of accelerations in optimization and machine learning"

Thursday January 25, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)**

Siting Liu, Department of Mathematics, University of California, Los Angeles

"Enhancing PDE Computations and Score-Based Generative Models through Optimization"

Monday, January 29, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Data Science Institute (DSI)**

Li Ma, Department of Statistical Science, Department of Biostatistics & Bioinformatics, Duke University

“Two examples of scalable unsupervised learning with trees and recursive partitions”

Tuesday, January 30, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)**

Promit Ghosal, Department of Mathematics, Brandeis University

“Fractal Geometry of Stochastic Partial Differential Equations”

**February**

**February**

Thursday, February 1, 2024, at 4:00 PM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Committee on Computational and Applied Mathematics (CCAM)**

Nisha Chandramoorthy, School of Computational Science and Engineering, Georgia Tech

“Learning from dynamics, learning dynamics and the dynamics of learning”

Monday, February 5, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue

Yiqun Chen, Data Science, Stanford University

“Advancing Biomedical Data Science: Testing data-driven hypotheses post-clustering & Leveraging ChatGPT for genomics data.”

Thursday, February 8, 2024, at 12:30 PM, in Jones 303, 5747 South Ellis Avenue

Brian Trippe, Department of Statistics, Columbia University

“Probabilistic methods for designing functional protein structures”

Monday, February 12, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue

Shuangning Li, Department of Statistics, Harvard University

“Inference and Decision-Making amid Social Interactions”

Thursday, February 15, 2024, at 12:30 PM, in Jones 303, 5747 South Ellis Avenue

Yuling Yao, Center for Computational Mathematics, Flatiron Institute

"Calibration and aggregation in simulation-based inference"

Monday, February 19, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Data Science Institute (DSI)**

Carter Butts, Electrical Engineering and Computer Science, University of California Irvine

"Modeling Ensembles of Networks"

Monday, February 26, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue

**Joint Colloquium with the Data Science Institute (DSI)**

Yuejie Chi, Department of Electrical and Computer Engineering, Carnegie Mellon University

"From Single-agent to Federated Reinforcement Learning"

**Spring 2024**

**March**

**Monday, March 25, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue**

Stephen Bates, Electrical Engineering & Computer Science Department, MIT

“Hypothesis testing with information asymmetry”

**April **

**Monday, April 1, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue**

Nathan Srebro, Toyota Technological Institute at Chicago

“Overfitting with Linear Predictors, Short Programs and Neural Networks”

**Monday, April 8, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue**

Haiyan Huang, Department of Statistics, University of California, Berkeley

“Integrative Deep Multi-Learning for Biclustering and Predicting Cancer Drug Responses: Leveraging Omics and Drug Molecular Data”

**Monday April 15, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue**

Krishnakumar Balasubramanian, Department of Statistics, University of California- Davis

"Gaussian Approximations for Stabilizing Statistics"

**Monday, April 22, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue**

Harry Crane, Department of Statistics, Rutgers

“Inference for Dynamic Networks and Trees”

**Monday, April 29, 2024, at 11:30 AM in Jones 303, 5747 S. Ellis Ave**

Bahadur Memorial Lectures

Emmanuel Candes, Departments of Mathematics and Statistics, Stanford University

"Statistical Inference in the Age of AI"

**May**

**Wednesday, May 1, 2024, at 3:30 PM in Jones 303, 5747 S. Ellis Ave**

Bahadur Memorial Lectures

Emmanuel Candes, Departments of Mathematics and Statistics, Stanford University

"Model-free selective inference and applications to drug discovery"

**Thursday, May 2, 2024, at 4:30 PM in Math/Stat 112, 5727 S. University Ave **

Billingsley Lectures on Probability

Sourav Chatterjee, Departments of Mathematics and Statistics, Stanford University

"A definition of spectral gap for nonreversible Markov chains"

**Monday, May 6, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue**

Andrew Gelman, Departments of Statistics and Political Science, Columbia University

“It's About Time”

**Monday, May 13, 2024, at 11:30 AM, in Jones 303, 5747 South Ellis Avenue**

Jason Xu, Department of Statistical Science, Duke University

“Distance-to-set penalties and priors for estimation under constraints”

### Other Related Seminars

- Computational and Applied Mathematics Colloquium
- Computations in Science Seminars
- Data Science Institute Events
- Department of Computer Science Seminars
- Department of Ecology & Evolution Seminars
- Econometrics and Statistics Workshop in the Booth School of Business
- Neuroscience Seminar Series
- Probability and Statistical Physics Seminars
- The Workshop on Quantitative Research Methods in Education, Health, and Social Sciences (QMEHSS)
- Toyota Technological Institute Seminars