MM Algorithms in Action

Sep 14, 2024, 16:00-16:30

Prof. Hua ZHOU, University of California, Los Angeles

Room 341, Business School Building

Bayesian Inference and Machine Learning Meet Spatial Data Science

Sep 14, 2024, 15:00-16:00

Prof. Sudipto Banerjee, University of California, Los Angeles

Room 341, Business School Building

Connecting the Dots: Statistical Models in Brain Imaging and Brain Networks Dynamics

Sep 14, 2024, 14:00-15:00

Prof. Michele Guindani, University of California, Los Angeles

Room 341, Business School Building

Brain-network-inspired computing for next-generation efficient and sustainable AI

Sep 9, 2024, 10:30-12:00

Prof. Carlo Vittorio Cannistraci, Tsinghua Laboratory of Brain and Intelligence

Room 109, Business School Building

A Bayesian Criterion for Re-randomization

Sep 6, 2024, 15:10-16:10

Prof. Ke DENG, Tsinghua University

Room 103, Business School Building

Blockwise Mixed Membership Model for Discovering the Clinical Heterogeneity of Parkinson’s Disease

Sep 2, 2024, 16:30-17:30

Prof. Kai KANG, Sun Yat-sen University

Room 341, Business School Building

Science Driven Research in Statistics

Aug 15, 2024, 15:00-16:00

Prof. Heping ZHANG, Yale University

Room 341, Business School Building

Linking brain-wide gene expression and neuroimaging data in brain science

Aug 1, 2024, 16:30-17:30

Prof. Shuixia GUO, Hunan Normal University

Room 341, Business School Building

Deep Learning and Information Theory (A Critical Comparison)

Aug 1, 2024, 14:00-15:00

Prof. Jean-Michel MOREL, City University of Hong Kong

Room 208, Business School Building

动力学刻画的数据科学与AI

Jul 28, 2024, 15:00-16:00

Prof. Luonan CHEN, Chinese Academy of Sciences

Room 102, Business School Building

Towards Temporal Robust Video Understanding: Benchmark Datasets and Methods

Jul 25, 2024, 14:00-15:00

Prof. Runhao Zeng, Shenzhen MSU-BIT University

Room 341, Business School Building

Statistical Methods and Computational Algorithms for Analyzing Biobank Data

Jul 19, 2024, 15:30-16:30

Prof. Hua ZHOU, University of California, Los Angeles

Room 341, Business School Building

Transferability-guided Transfer Learning

Jul 18, 2024, 14:00-15:00

Prof. Yang LI, Tsinghua Shenzhen International Graduate School

Room 341, Business School Building

Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference

Jul 11, 2024, 14:00-15:00

Dr. Difan ZOU, The University of Hong Kong

Room 108, Business School Building

Selection of Mixture Dynamic Quantile Regression Models: Theory and Applications

Jul 9, 2024, 14:30-15:30

Prof. Zongwu CAI, University of Kansas

Room 209, Business School Building

A Change-point Method for Phase I Analysis of High-dimensional Processes with Sparse Mean Shifts

Jul 1, 2024, 15:30-16:00

Prof. Lianjie SHU, University of Macau

Room 341, Business School Building

Finite Mixture of Regression Models and Their Applications

Jul 1, 2024, 10:30-11:30

Prof. Shili LIN, The Ohio State University

Room 308, Lecture Hall 3

SIMPLE-RC: Group Network Inference with Non-Sharp Nulls and Weak Signals

Jun 26, 2024, 10:20-11:20

Prof. Jinchi Lv, University of Southern California

Room 209, Business School Building

Repro Samples Method for Addressing Irregular Inference Problems and for Unraveling Machine Learning Blackboxes

Jun 25, 2024, 10:20-11:20

Prof. Min-ge Xie, Rutgers, The State University of New Jersey

Room 206, Business School Building

Robust Max Statistics for High-Dimensional Inference

Jun 21, 2024, 15:30-16:30

Mingshuo LIU, University of California, Davis

Room 341, Business School Building