Poster Sessions

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Presenter: Priyanjali Bukke (University of Virginia) Collaborator(s): Martin Slawski Title: A General Framework for Inference After Record Linkage	Presenter: Jae Ho Chang (The Ohio State University) Collaborator(s): Arnab Auddy, Subhadeep Paul Title: Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes (VANEB)
Presenter: Min-Yi Chen (Iowa State University) Collaborator(s): Jae-Kwang Kim, Yumou Qiu Title: Soft-Constrained Bregman Calibration	Presenter: Xinlei Chen (University of Pittsburgh) Collaborator(s): Title: Federated Learning of Robust Individualized Decision Rules with Application to Heterogeneous Multihospital Sepsis Population
Presenter: Aoran Chen (Pennsylvania State University) Collaborator(s): Tun He, Yang Feng Title: Individualized Survival Prediction for Rare Cancers by Borrowing Strength from Related Tumor Types: A Pan-Cancer TCGA Analysis	Presenter: Elizabeth Willow Eisenhauer (Westat) Collaborator(s): Laura Gamble, Elizabeth Eisenhauer, Andreea Erciulescu, Rebecca Fink, Sarah Smith-Jeffcoat, Jefferson Jones, Bryan Spencer, Mars Stone, Michael Busch Title: Sampling and Weighting Strategies for Nonprobability Survey and Serology Data
Presenter: Shengtong Han (Marquette University) Collaborator(s): Dr. Di Wang; Dr. Wenhui Sheng; Nathanael Chu Title: Integrating multi-omics data through deep learning for prioritizing genes associated with autism	Presenter: Nel Jason Haw (Johns Hopkins University) Collaborator(s): Althoff, Keri; Agwu, Allison; Lesko, Catherine Title: Assembling a Synthetic Life Course Cohort to Study the Incidence of Non-AIDS-Defining Conditions among People with Perinatally Acquired HIV in the United States: A DATA FUSION STUDY
Presenter: Peiyu He (Duke University) Collaborator(s): Guanhua Chen Title: Learning Individualized Treatment Rules for a Target Population with Right-Censored Survival Outcomes	Presenter: Yonghan Jung (University of Illinois Urbana-Champaign) Collaborator(s): Title: TransPFN: Transportability-Inspired Causal Meta-Learning for OOD-Robust Causal Effects
Presenter: Hajoung Lee (Seoul National University) Collaborator(s): Kwonsang Lee Title: High-Dimensional Matching via Energy Distance Minimization	Presenter: Shan Leng (University of Wisconsin, Madison) Collaborator(s): Tianyi Yang, Peinan Hu, Yan Li, Fulai Jin, Mark P Keller, Alan D Attie, Sündüz Keleş Title: CascadeS2F: A Cascaded, Causality-Aware Sequence-to-Function Model Across Molecular Layers
Presenter: Tomoki Okuno (University of California, Los Angeles (UCLA)) Collaborator(s): Brendon Chau, Gang Li, Sijia Li, Hua Zhou, Jin Zhou Title: Semi-Supervised Causal Mediation Analysis with Partially Observed Mediators	Presenter: Isaac Scheinfeld (Columbia University) Collaborator(s): Hannah Li, Hongseok Namkoong Title: When Representative Samples Produce Worse Outcomes: Scale-up Decisions and Testing in Small-Budget RCTs
Presenter: MOOKYONG SON (Memorial Sloan-Kettering Cancer Center) Collaborator(s): Danya T. Hassan, Ronglai Shen, Katherine Panageas, Yuan Chen Title: Bayesian Neural Networks for Multi-Institutional, Multi-Modal Genomic Data Integration	Presenter: Yuyao Wang (Northeastern University) Collaborator(s): Alexander W. Levis, Shu Yang, Larry Han Title: History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
Presenter: Yikun Zhang (University of Washington) Collaborator(s): Steven Wilkins-Reeves, Wesley Lee, Aude Hofleitner Title: Transfer Learning Through Conditional Quantile Matching	Presenter: Xinyuan Zhang (Georgia Institute of Technology) Collaborator(s): Benjamin Yakir, Yajun Mei Title: A Note on High-Dimensional Sparse Sequential Change-Point Detection
Presenter: Ke Zhu (North Carolina State University) Collaborator(s): Shu Yang, Xiaofei Wang Title: Robust Estimation and Inference in Hybrid Controlled Trials	Presenter: Jungang Zou (Department of Biostatistics at Columbia University) Collaborator(s): Joseph E. Schwartz, Roderick J. A. Little, Nathalie Moise, Qixuan Chen Title: Transporting Treatment Effects from Randomized Trials to EHR Populations using Bayesian Propensity Score Predictive Inference

Presenter: Matthew Albert (University of Toronto) Collaborator(s): Andrew Hardy, Valentin Crépel Title: Moiré models beyond a single valley	Presenter: Guilherme Botelho (University of Toronto) Collaborator(s): Valentin Crépel Title: Hatsugai-Kohmoto Model with Momentum-Mixing: Superconductivity and Magnetic Ordering
Presenter: Gefei Cai (Peking University) Collaborator(s): Title: Boundary four-point connectivities of conformal loop ensembles	Presenter: Drake Clark (University of Minnesota, Twin Cities) Collaborator(s): Yangshuai Wang, Sambit Das, Ziyan Zhu, Daniel Massatt, Vikram Gavini, Mitchell Luskin, Christoph Ortner Title: An Atomic Cluster Expansion Potential for Twisted Multilayer Graphene
Presenter: Matthew J Frazier (University of Chicago) Collaborator(s): Gullaume Bal Title: Topology in continuum photonics: Chern invariants, bulk-edge correspondence, and boundary regularity	Presenter: Michael Hott (Old Dominion University) Collaborator(s): Jeffrey Calder, Hao Lan, Mitchell Luskin, Ryan O'Neill, Alexander B. Watson Title: From microscopic to moiré scale continuum mechanical models
Presenter: Tianyu Kong (University of Minnesota, Twin Cities) Collaborator(s): Alexander B. Watson, Mitchell Luskin, Kevin D. Stubbs, Lin Lin Title: Continuum model and interactions for relaxed twisted bilayer graphene	Presenter: Collin J. Kovacs (University of Tennessee Knoxville) Collaborator(s): Jiangxu Li, Yang Zhang, Konstantinos D. Vogiatzis, Adrian Del Maestro, Vasileios Maroulas Title: Topological Fingerprints of Commensurate Order in Twisted Moiré Lattices
Presenter: Jichun Li (University of Nevada, Las Vegas) Collaborator(s): Title: Mathematical analysis and modeling of invisibility cloaks with metamaterials	Presenter: Wei Li (DePaul University) Collaborator(s): Junshan Lin, Jiayu Qiu, Hai Zhang Title: Topological Edge States in Sharply Joined Photonic Materials
Presenter: Solomon Quinn (Flatiron Institute) Collaborator(s): Guillaume Bal, Paul Cazeaux, Daniel Massatt Title: Macroscopic approximation of tight-binding models near spectral degeneracies and validity for wave packet propagation	Presenter: Tanner J Reese (University of Arizona) Collaborator(s): Sunder Sethuraman Title: Crystal Growth on Locally Finite Partially Ordered Sets
Presenter: DMITRII SHADRIN (University of Utah) Collaborator(s): Elena Cherkaev Title: Topological invariants for periodic crystals.	Presenter: Mengxuan Yang (Princeton University) Collaborator(s): Title: Real vector bundles over the torus and fragile topology
Presenter: Li Zhu (University of Minnesota, Duluth) Collaborator(s): Jichun Li Title: Finite Element Analysis of Surface Plasmon Polariton Propagation Along Graphene Interfaces

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Presenter: Priyanka Sinha (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Title: A MARL Formulation of Personalized Federated Learning Mechanism	Presenter: Yonatan Ariel Slutzky (Tel Aviv University) Collaborator(s): Yotam Alexander, Noam Razin, Nadav Cohen Title: The Implicit Bias of Structured State Space Models Can Be Poisoned With Clean Labels
Presenter: Zirui Xu (University of Michigan) Collaborator(s): Vasileios Tzoumas Title: Self-Configurable Mesh-Networks for Scalable Distributed Submodular Bandit Optimization	Presenter: Chaorui Yao (University of California, Los Angeles (UCLA)) Collaborator(s): Yuming Paul Zhang, Lin Yang, Yuhua Zhu Title: A Model-Free Continuous-Time RL Algorithm from Off-Policy Data with End-to-End Guarantees

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Presenter: Evan Welty Assmus (University of Michigan) Collaborator(s): Qining Zhang, Lei Ying Title: SP3O: Reinforcement Learning from Segment Preferences without Reward Modeling	Presenter: Nirmit Joshi (Toyota Technological Institute at Chicago) Collaborator(s): Gene Li, Siddharth Bhandari, Shiva Kasiviswanathan, Cong Ma, Nathan Srebro Title: Learning to Answer Correct Demonstrations
Presenter: Kellen Kanarios (University of Michigan) Collaborator(s): Lei Ying Title: Motion Planning via Contrastive Reinforcement Learning and Monte-Carlo Tree Search	Presenter: Kihyun Kim (Massachusetts Institute of Technology (MIT)) Collaborator(s): Jiawei Zhang (University of Wisconsin-Madison), Asuman Ozdaglar (MIT), Pablo Parrilo (MIT) Title: A Linear Programming Framework for Offline Inverse Reinforcement Learning
Presenter: Chunyin Lei (University of California, Santa Barbara (UCSB)) Collaborator(s): Annie Qu Title: Risk-Aware Quantile Dynamic Treatment Regimes	Presenter: Pangpang Liu (Yale University) Collaborator(s): Junwei Lu (Harvard University), Will Wei Sun (Purdue University) Title: Uncertainty Quantification for Large Language Model Reward Learning under Heterogeneous Human Feedback
Presenter: Sunil Madhow (University of California, San Diego (UCSD)) Collaborator(s): Yuchen Liang, Yingbin Liang, Ness Shroff, Yu-Xiang Wang Title: Learnable Chernoff Baselines for Inference-Time Alignment	Presenter: Jongha Jon Ryu (Massachusetts Institute of Technology (MIT)) Collaborator(s): Jeongyeol Kwon (Meta), Benjamin Koppe (Cornell), Kwang-Sung Jun (POSTECH) Title: Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing
Presenter: Braham Snyder (University of Virginia) Collaborator(s): Haolin Liu, Chen-Yu Wei Title: On the Complexity of Offline Reinforcement Learning with Q^star-Approximation and Partial Coverage	Presenter: Deyi Wang (University of Michigan) Collaborator(s): Qining Zhang, Lei Ying Title: Efficient Federated RLHF via Zeroth-Order Policy Optimization
Presenter: Qining Zhang (University of Michigan) Collaborator(s): Lei Ying Title: Provable Preference-based Reinforcement Learning with an Unknown Link Function: A Stochastic Zeroth-Order Framework

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Presenter: Chen Cheng (University of Michigan) Collaborator(s): Xun Huan Title: Optimal Stopping for Sequential Bayesian Experimental Design	Presenter: Thomas Dixon (University of Michigan) Collaborator(s): Alex Gorodetsky Title: Multi-fidelity Optimization under Uncertainty - A Stochastic Trust-Region Approach using Multi-fidelity Methods
Presenter: Eric Gelphman (Colorado School of Mines) Collaborator(s): Deepanshu Verma, Nicole Yang, Stanley Osher, Samy Wu Fung Title: Jacobian-Free Backpropagation for High-Dimensional Optimal Control with Implicit Hamiltonians	Presenter: Philipp A. Guth (RICAM, Austrian Academy of Sciences) Collaborator(s): K. Kunisch, S. S. Rodrigues, J. Schröder Title: Digital Twin Feedback for Uncertain Dynamical Systems
Presenter: Sebastian Gutierrez Hernandez (Georgia Institute of Technology) Collaborator(s): Haomin Zhou, Peng Chen Title: Multiple Input DeepONets for PDE-constrained dynamic optimal control under uncertainty	Presenter: Angan Mukherjee (University of Wisconsin, Madison) Collaborator(s): Victor M. Zavala Title: Data-Driven Dynamic Modeling and Uncertainty Quantification using Variational Inference
Presenter: Yaw Owusu-Agyemang (George Mason University) Collaborator(s): Harbir Antil, Denis Ridzal, Jimmie Adriazola, Rohit Khandelwal Title: Optimal Control of Maxwell’s Equations	Presenter: Felipe Perez (George Mason University) Collaborator(s): Harbir Anti, Keegan Kirk Title: Duality Framework for Flux Constrained Flow
Presenter: Kewei Wang (Courant Institute of Mathematical Sciences) Collaborator(s): Georg Stadler Title: Gaussian Process Regression Subject to Chance Constraints

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Presenter: Diego Camilo Arenas (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Mirjeta Pasha Title: Scalable Methods for Bayesian Sampling and MAP Estimation in Time-Varying Inverse Problems	Presenter: Nan Chen (University of Wisconsin, Madison) Collaborator(s): Title: CGKN: A Deep Learning Digital Twin Framework for Stochastic Modeling, Forecast, and Data Assimilation
Presenter: Nicolas Martin Guerra (Cornell University) Collaborator(s): Nicholas H. Nelsen, Yunan Yang Title: Learning Where to Learn: Training Distribution Selection for Provable OOD Performance	Presenter: Yixuan Jia (University of Michigan) Collaborator(s): Siyi Chen*, Yixuan Jia*, Qing Qu, He Sun, Jeffrey Fessler Title: FlowDAS: A Stochastic Interpolants-based Framework for Data Assimilation
Presenter: Aryeh Keating (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Mirjeta Pasha Title: A Sequential Framework of Dimension-Reduced Expectation–Maximization with Optical Flow for Scalable Dynamic X-Ray CT	Presenter: Marco Mangano (Argonne National Laboratory) Collaborator(s): Sven Leyffer, Carlo Graziani, Paul Manns Title: Optimal experimental design for digital twins using a network-flow approach
Presenter: Aimee Maurais (Massachusetts Institute of Technology (MIT)) Collaborator(s): Bamdad Hosseini, Youssef Marzouk Title: Learning Paths for Dynamic Transport: A Control Perspective	Presenter: Charlotte Rose Moser (University of Wisconsin Madison) Collaborator(s): Pouria Behnoudfar, Marc Bocquet, Sibo Cheng, Nan Chen Title: Bridging Idealized and Operational Models: An Explainable AI Framework for Earth System Emulators
Presenter: Sonia Reilly (New York University) Collaborator(s): Georg Stadler Title: Bayesian Inference for Latent Gaussian Models Governed by PDEs	Presenter: Rudi Smith (Virginia Polytechnic Institute & State University (Virginia Tech)) Collaborator(s): Mirjeta Pasha, Grey Ballard, Hussam Al Daas Title: Structured Sketching for Fast and Scalable Tucker Tensor Summation
Presenter: Liliang Wang (University of Michigan) Collaborator(s): Alex Gorodetsky Title: Towards understanding the errors in online Bayesian data assimilation	Presenter: Marissa Whitby (Stevens Institute of Technology) Collaborator(s): Kathrin Smetana, Tommaso Taddei, Zhiyu Yin Title: Probabilistic Error Analysis of a Randomized Proper Orthogonal Decomposition

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Presenter: Melissa Adrian (University of Chicago) Collaborator(s): Daniel Sanz-Alonso, Rebecca Willett Title: Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet	Presenter: Allison Fuller (Arizona State University) Collaborator(s): Malena Español, Misha Kilmer Title: Structure-Informed Bounds on Matrix Kronecker Rank
Presenter: Graham Thomas Pash (University of Texas, Austin) Collaborator(s): Umberto Villa, David A. Hormuth II, Thomas E. Yankeelov, Karen Willcox Title: Towards Predictive Digital Twins with Applications to Precision Oncology	Presenter: Zhongrui Wang (University of Wisconsin, Madison) Collaborator(s): Chuanqi Chen, Nan Chen, Jin-long Wu Title: CGKN: A Deep Learning Digital Twins Framework for Stochastic Modeling, Forecast, and Data Assimilation

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Presenter: James Binnie (Cardiff University) Collaborator(s): Pawel Dlotko, John Harvey, Jakub Malinowski, Ka Man Yim Title: A Survey of Dimension Estimation Methods	Presenter: Riya Dogra (Vrije Universiteit Amsterdam) Collaborator(s): Dr. Senja Barthel Title: Topology of Molecular Braids
Presenter: Ondřej Draganov (Inria Center at Universite Cote d’Azur) Collaborator(s): Sebastiano Cultrera di Montesano, Herbert Edelsbrunner, Morteza Saghafian, Sofie Rosenmeier, Nicolò Zava Title: Six-packs of persistence diagrams for chromatic point sets	Presenter: Chiara Fend (RPTU University Kaiserslautern-Landau) Collaborator(s): Claudia Redenbach Title: A Persistent Homology Approach for Characterizing Random Spatial Structures
Presenter: Ishika Ghosh (Michigan State University) Collaborator(s): Erin Wolf Chambers, Elizabeth Munch, Sarah Percival, Bei Wang Title: Towards an Optimal Bound for the Interleaving Distance on Mapper Graphs	Presenter: Vincent Peter Grande (RWTH Aachen University) Collaborator(s): Michal T. Schaub Title: Point-Level Topological Representation Learning on Point Clouds
Presenter: Robert Green (SUNY Albany) Title: Hyperblock Barcodes: a Robust Homological Feature for Hypergraphs	Presenter: Benjamin D Jones (Michigan State University) Collaborator(s): Guo-Wei Wei Title: Efficient Computation of Persistent Laplacians
Presenter: Janis Lazovskis (University of Latvia) Collaborator(s): Barbara Giunti, University at Albany SUNY Title: Pruning vineyards: Updating barcodes and representative cycles	Presenter: Wonjun Lee (Korea Advanced Institute of Science and Technology) Collaborator(s): Donghan Kim, Woojin Kim Title: Super-Polynomial Growth of the Generalized Persistence Diagram
Presenter: Jingyi LI (Ecole Polytechnique, Inria Saclay) Collaborator(s): Ethan Andre, David Loiseaux, Steve Oudot Title: Estimating the persistent homology of $mathbb{R}^n$-valued functions using function-geometric multifiltrations	Presenter: Michał Lipiński (Institute of Science and Technology Austria (IST Austria)) Collaborator(s): Tamal K. Dey, Manuel Soriano-Trigueros Title: Conley-Morse persistence barcode: a homological signature of a combinatorial bifurcation
Presenter: Jiajie Luo (University of Chicago) Collaborator(s): Gregory Henselman-Petrusek Title: Interval Decomposition of Persistence Modules over a PID	Presenter: Eva Lymberopoulos (UCL (University College London)) Collaborator(s): Muhannad Alomari (BioCorteX Ltd, London), Sikhil Sharma (BioCorteX Ltd, London) Title: Topical Data Analysis distinguishes gut microbiome profiles of Parkinson’s disease mouse models
Presenter: Sucharita Mallick (University of Florida, Gainesville) Collaborator(s): Henry Adams, Alex Elchesen, Michael Moy Title: Anti-Vietoris–Rips metric thickenings and Borsuk graphs	Presenter: Tatsuya Matsuba (Institute of Science Tokyo) Title: Knot Data Analysis Using Goeritz Invariants
Presenter: Mona Mohnhaupt (ETH Zurich) Collaborator(s): Agnese Barbensi, Matija Čufar, Jennifer A. Flegg, Yong See Foo, Sara Kalisnik Hintz, Adriana Zanca Title: Detecting Spatiotemporal Trends in Antimalarial Resistance Data with Time-Varying Persistent Homology	Presenter: Abhinav Natarajan (University of Oxford) Collaborator(s): Thomas Chaplin, Adam Brown, Maria Jose Jimenez Title: Morse Theory of Chromatic Delaunay Triangulations
Presenter: Nkechi Nnadi (Michigan State University) Collaborator(s): Elizabeth Munch Title: Efficient PHT Computation for tracking topological structure	Presenter: Astrid A. Olave Herrera (Michigan State University) Collaborator(s): Elizabeth Munch Title: Bounding the interleaving distance on concrete categories using a loss function
Presenter: Eduardo Paluzo-Hidalgo (Universidad de Sevilla) Title: Latent Space Topology Evolution in Multilayer Perceptrons	Presenter: Anthony E Pizzimenti (George Mason University) Collaborator(s): Paul Duncan, Benjamin Schweinhart Title: Generalized cluster algorithms for Potts lattice gauge theory
Presenter: Lars M. Salbu (University of Bergen) Collaborator(s): Nello Blaser, Morten Brun, Odin Hoff Gardaa Title: The (Delaunay) Core Bifiltration	Presenter: Bernadette Stolz (Max Planck Institute) Collaborator(s): Jeremy J. P. Baffou, Vaishnavi Subramanian, Heather Dawson, Inti Zlobec, Dorina Thanou Title: Topological graph learning for spatial data from the tumour microenvironment
Presenter: Zachariah A Thomas (University of Florida, Gainesville) Title: Schauder Bases for Multiparameter Persistence	Presenter: Maria Torras-Pérez (University of Oxford) Collaborator(s): Iris H.R. Yoon, Praveen Weeratunga, Ling-Pei Ho, Helen M. Byrne, Ulrike Tillmann, Heather A. Harrington Title: Topology across scales on heterogeneous cell data
Presenter: Adaku Uchendu (Massachusetts Institute of Technology (MIT) Lincoln Laboratory) Collaborator(s): Thai Le Title: Unveiling Topological Structures from Language: A Comprehensive Survey of TDA Applications in NLP	Presenter: Arne Wolf (Imperial College) Collaborator(s): Jiyu Fan, Daniel Ruiz Cifuentes, Anthea Monod Title: Spectral Stability of Persistent Laplacians
Presenter: Xiaochen Xiao (Northeastern University) Collaborator(s): Jose A. Perea Title: Extracting Sparse Eilenberg-MacLane Coordinates via Principal Bundles	Presenter: Nicolò Zava (Institute of Science and Technology Austria (ISTA)) Collaborator(s): Ondřej Draganov, Sophie Rosenmeier Title: Gromov-Hausdorff distance to compare chromatic metric spaces
Presenter: Ana Zegarac (ETH Zurich) Collaborator(s): Niklas Canova (ETH Zurich), Sara Kalisnik (Penn State University), Aaron Moser (ETH Zurich), Bastian Rieck (University of Fribourg) Title: Persistent Homology via Ellipsoids	Presenter: Wanchen Zhao (University of Florida, Gainesville) Collaborator(s): Peter Bubenik Title: Wasserstein Stability for Barcodes and Persistence Landscapes

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Presenter: Han Chen (Duke University) Collaborator(s): Anru Zhang Title: Finite-Step Tractable Tensor Ring Decomposition	Presenter: Jiaheng Chen (University of Chicago) Collaborator(s): Omar Al-Ghattas, Daniel Sanz-Alonso Title: Sharp Concentration of Simple Random Tensors
Presenter: Shabarish Chenakkod (University of Michigan) Collaborator(s): Michal Derezinski, Xiaoyu Dong Title: Optimal Oblivious Subspace Embeddings with Near-optimal Sparsity	Presenter: John R Hood (University of Chicago) Collaborator(s): Caterina De Bacco, Aaron Schein Title: Modeling Higher Order Interactions Among Latent Communities in Hypergraphs
Presenter: Amirhamzeh Khoshnam (University of Massachusetts Boston) Collaborator(s): Neriman Tokcan (University of Massachusetts Boston), Daniel Chafamo (University of Pennsylvania Title: Tensor decomposition application in omics data analysis	Presenter: Jingyang Li (University of Michigan) Collaborator(s): Jian-Feng Cai, Yang Chen, Dong Xia Title: Online Tensor Learning: Computational and Statistical Trade-offs, Adaptivity and Optimal Regret
Presenter: Yuetian Luo (University of Chicago) Collaborator(s): Ilias Diakonicolas, Daniel M. Kane, Anru R. Zhang Title: Statistical and Computational Limits for Low-rank Tensor Detection	Presenter: Zhongyuan Lyu (Columbia University) Collaborator(s): Dong Xia Title: Optimal Clustering by Lloyd’s Algorithm for Low-rank Mixture Model
Presenter: Kwangmoon Park (University of Wisconsin-Madison) Collaborator(s): Sunduz Keles Title: Sparse Higher-Order Partial Least Squares for Applications in Single-Cell 3D Genomics Data	Presenter: Riccardo Rossetti (Duke University) Collaborator(s): Galen Reeves Title: Fundamental Limits for High-Dimensional Factor Regression Models
Presenter: Bongjung Sung (Duke University) Collaborator(s): Peter D. Hoff Title: Testing Separability of High-Dimensional Covariance Matrices	Presenter: Runshi Tang (University of Wisconsin, Madison) Collaborator(s): Julien Chhor, Olga Klopp, Alexandre Tsybakov, Anru R. Zhang Title: Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
Presenter: Ke Xu (University of Notre Dame) Collaborator(s): Elynn Chen, Yuefeng Han Title: Statistical Inference for Low-Rank Tensor Models	Presenter: Yuepeng Yang (University of Chicago) Collaborator(s): Cong Ma Title: Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices