TRIPODS Distinguished Lectures (one lecture per semester)
- 1/23/2023; TRIPODS Distinguished Lecture: Multi-modal Artificial Intelligence and the Future of Universities, Dimitris Bertsimas, MIT, Presentation Slides, Video.
- 1/31/2022; TRIPODS Distinguished Lecture: Tensor Moment of Gaussian Mixture Models: Theory and Applications, Tamara Kolda, MathSci.ai & Northwestern University, Presentation Slides, Video.
- 10/18/2021; TRIPODS Distinguished Lecture: ScreeNOT: Exact MSE-Optimal Singular Value Thresholding in Correlated Noise, David Donoho, Stanford University, Video.
- 2/19/2021; TRIPODS Distinguished Lecture: Language, Brain, and Computation; Christos Papadimitriou; Columbia University, Presentation slides, Video.
- 9/9/2020; TRIPODS Distinguished Lecture: Conformal Prediction In 2020; Emmanuel Candès, Stanford University, Presentation Slides, Video.
Materials from Past Events
- 3/27/2023; TAMIDS Seminar; No Equations, No Variables, No Space, No Time: Data and the Modeling of Complex Systems, Yannis Kevrekidis, Johns Hopkins University, Presentation Slides, Video.
- 3/6/2023; TAMIDS Seminar; Achieving Reliable Causal Inference with Data-Mined Variables, Edward McFowland III, Harvard Business School, Presentation Slides, Video.
- 2/27/2023; TAMIDS Seminar; GIScience in a Hybrid Physical-Virtual World, Shih-Lung Shaw, University of Tennessee, Presentation Slides, Video.
- 2/13/2023; TAMIDS Seminar; The Sound of Science; Paul Miller, Artist, Writer, Musician, Video.
- 2/6/2023; TAMIDS Seminar; Deep Gaussian Process Surrogates for Computer Experiments; Bobby Gramacy, Virginia Tech, Presentation Slides, Video.
- 1/30/2023; TAMIDS Seminar; Bridging Ethical Algorithms, Law, and Practice Hiring and Beyond, Swati Gupta, Georgia Tech, Presentation Slides, Video.
- 11/28/2022; TAMIDS Seminar; The Trade-off Between the Value of Granular Data and Consumers’ Privacy, Fernando Luco, ECON, TAMU, Presentation Slides, Video.
- 11/21/2022; TAMIDS Seminar; The Deep Bootstrap Framework; Preetum Nakkiran, Apple, Presentation Slides, Video.
- 11/14/2022; TAMIDS Seminar; Probabilistic Solvers For ODEs And PDEs, Simo Särkkä, Aalto University, Presentation Slides, Video.
- 11/3/2022; TAMIDS Tech Talk; Research Partnerships Between Pacific Northwest National Laboratory and TAMIDS, Michael Henry, PNNL, Video.
- 10/31/2022; TAMIDS Seminar; Federated Data Analytics for the Internet of Federated Things, Raed Al Kontar, University of Michigan, Presentation Slides, Video.
- 10/24/2022; TAMIDS Seminar; Stochastic Gradients with Adaptive Stepsizes, Rachel Ward, University of Texas at Austin, Presentation Slides.
- 10/17/2022; TAMIDS Seminar; The Ethics of Integrating Medical AI into Research, Practice, and Education, Sophia Fantus, University of Texas at Arlington, Presentation Slides, Video.
- 9/26/2022; TAMIDS Seminar; Operations Optimization Applications at General Electric, Srinivas Bollapragada, GE Research.
- 9/19/2022; TAMIDS Tutorial; Frontiers of Graph Neural Networks with the Dive-Into-Graphics (DIG) Library, Shuiwang Ji, CSCE, TAMU, Presentation Slides, Video.
- 9/12/2022; TAMIDS Seminar; The Role of Functional Aesthetics in Visual Analysis, Vidya Setlur, Tableau, Presentation Slides, Video.
- 4/25/2022; TAMIDS Seminar; Online Monitoring of Big Data Streams–Roadmap and Recent Advances, Kaibo Liu, University of Wisconsin–Madison, Presentation Slides, Video.
- 4/18/2022; TAMIDS Seminar; Online Nonnegative Matrix Factorization and Applications, Deanna Needell, UCLA, Presentation Slides, Video.
- 4/5/2022; TAMIDS Seminar; Modeling and Simulation of High Frequency Wind Vectors, Michael Stein, Rutgers University, Presentation Slides, Video.
- 3/28/2022; TAMIDS Seminar: Identifying Market Structure: A Deep Network Representation Learning of Social Engagement, Kunpeng Zhang, University of Maryland, Presentation Slides, Video.
- 3/22/2022; TAMIDS Tutorial: Introduction to Conversational AI, James Caverlee, CSCE, Presentation Slides, Video.
- 3/7/2022; TAMIDS Seminar: Data Science at Capital One, Fei Tong, Capital One.
- 2/21/2022; TAMIDS Seminar: The Art of Visualization, Nadieh Bremer and Shirley Wu, Authors of Data Sketches, Video.
- 2/14/2022; TAMIDS Seminar: Studying Risk and Crisis Communication during Emerging Infectious Disease Outbreaks from Social Media Big Data, Lu Tang, Department of Communication, Presentation Slides, Video.
- 2/7/2022; TAMIDS Seminar: Machine Learning / Natural Language Processing Experts Needed: How Do We Discover Emerging Gender Categories in 90 Volumes of Tagged Text? Laura Mandell (together with Bryan Tarpley and Kayley Hart), Center of Digital Humanities Research, Presentation Slides, Video.
- 1/24/2022; TAMIDS Seminar: A Unified Framework for Sequential Decisions under Uncertainty, Warren B. Powell, Princeton University & Optimal Dynamics, Presentation Slides, Video.
- 12/09/2021; TAMIDS Research Conference. Access slides and recording through the conference program here.
- 11/22/2021; TAMIDS Seminar: The Role of Lookahead and Approximate Policy Evaluation in Policy Iteration with Linear Value Function Approximation, R. Srikant, University of Illinois at Urbana-Champaign, Video.
- 11/15/2021; TAMIDS Seminar: Leveraging Online Labor Markets to Learn from Imperfect and Biased Humans, Maytal Saar-Tsechansky, University of Texas at Austin, Presentations, Video.
- 11/08/2021; TAMIDS Tutorial: Deep Learning for Symbolic Regression, Andrew Jiang, Texas A&M University, Presentation Slides, Video.
- 11/01/2021; TAMIDS Seminar: Some New Insights on the Fisher Randomization Test, Tirthankar Dasgupta, Rutgers University, Presentation Slides, Video.
- 10/25/2021; TAMIDS Seminar: Label Your Data With This One Weird Trick: Methods for Addressing the Digital Data Labeling Bottleneck, Alina Zare, University of Florida, Presentation Slides, Video.
- 10/11/2021; TAMIDS Seminar: Mathematical Methods for Privacy-Preserving Machine Learning, Thomas Strohmer, UC Davis, Presentation Slides, Video.
- 10/04/2021; TAMIDS Seminar: The Interplay between Online and Offline Learning, David Simchi-Levi, MIT, Presentation Slides, Video.
- 9/27/2021; TAMIDS Seminar: Learning Preferences with Irrelevant Alternatives, Johan Ugander, Stanford University, Presentation Slides, Video.
- 9/20/2021; TAMIDS Seminar: Translational Bioinformatics: Go Deep and Go Broad – Working Examples in Deciphering Molecular Heterogeneity of Ovarian Cancer; Chen Wang, Mayo Clinic College of Medicine, Presentation Slides, Video.
- 9/17/2021; ECEN Distinguished Speaker Seminar: Physics-Informed Learning for Diverse Applications in Science and Engineering, George Karniadakis, Brown University, Video.
- 9/13/2021; TAMIDS Seminar: Scalable Gaussian-Process Approximations for Big Data, Matthias Katzfuss, Texas A&M, Presentation Slides, Video.
- 9/8/2021; TAMIDS SciML Lab Seminar: Solving and Learning Phase Field Models Using Modified Physics Informed Neural Networks , Jia Zhao, Utah State University, Video.
- 9/6/2021; TAMIDS Seminar: Communication-Aware and Decentralized Strategic Learning in Networked Multiagent Systems, Ceyhun Eksin, Texas A&M, Presentation Slides, Video.
- 6/2/2021; TAMIDS SciML Lab Seminar: Hidden Physics Models, Maziar Raissi, University of Colorado Boulder, Presentation Slides, Video.
- 4/23/2021; TAMIDS Tutorial: Exploring Fairness and Socio-demographic Bias in Machine Learning, Theodora Chaspari, Texas A&M University, Presentation slides, Video.
- 4/21/2021; TAMIDS SciML Lab Seminar: NVIDIA SimNet: A Multi-Physics Neural Solver, Sanjay Choudhry, NVIDIA, Video.
- 4/14/2021; TAMIDS SciML Lab Seminar: Stiffness: Where Deep Learning Breaks and How Scientific Machine Learning Can Fix It, Chris Rackauckas, Massachusetts Institute of Technology, Video.
- 4/9/2021; TAMIDS Seminar: Sensing and Learning in Distributed Systems Operating under Resource Constraints, Haris Vikalo, University of Texas at Austin, Presentation slides, Video.
- 3/26/2021; TAMIDS Seminar: End to End Data Science, Pascal Van Hentenryck, Georgia Institute of Technology, Presentation slides, Video.
- 3/12/2021; TAMIDS Seminar: Image and Graph Deep Learning Methods for Cellular and Molecular Level Science Discoveries, Shuiwang Ji, Texas A&M University, Presentation slides, Video.
- 3/10/2021; TAMIDS SciML Lab Seminar: Bridging Physical Models and Observational Data with Physics-Informed Deep Learning, Paris Perdikaris, University of Pennsylvania, Video.
- 3/5/2021; TAMIDS Seminar: Predictive Modeling with Longitudinal Patient Clinical Records, Fei Wang, Weill Cornell Medicine, Presentation slides, Video.
- 2/26/2021; TAMIDS Seminar: Statistics, Topology and Data Analysis; Vasileios Maroulas; University of Tennessee, Presentation slides, Video.
- 2/12/2021; TAMIDS Tutorial: Managing Your Digital Footprints; Ravi Sen; Texas A&M University, Presentations slides, Video.
- 2/5/2021; TAMIDS Seminar: Sidewalk Extraction Using Aerial and Street View Images; Xinyue Ye; Texas A&M University, Presentation slides, Video.
- 1/29/2021; TAMIDS Seminar: Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead; Cynthia Rudin, Duke University, Presentation slides, Video.
- 1/22/2021; TAMIDS Seminar: Data Science for Organizational Modeling, Randy Garrett, DARPA, Presentation slides, Video (TAMU NetID login required per speaker’s request).
- 11/20/2020; TAMIDS Tutorial: Introduction to Generative Adversarial Networks (GANs), Zhangyang “Atlas” Wang, The University of Texas at Austin, Presentations slides, Video.
- 11/13/2020; TAMIDS Seminar: Inverse Multiobjective Optimization: Models, Insights and Algorithms, Bo Zeng, University of Pittsburgh, Presentation Slides, Video.
- 11/10/2020; TAMIDS Tech Talk: Vinit Sehgal: Large-scale Geospatial Analysis with R, Vinit Sehgal, Texas A&M University, Video.
- 11/06/2020; TAMIDS Seminar: YouTube Video Analytics for Health Literacy and Chronic Care Management: An Augmented Intelligence Approach to Assess Content and Understandability, Rema Padman, Carnegie Mellon University, Presentation Slides.
- 10/30/2020; TAMIDS Seminar: Distributed Stochastic Approximation and Multi-Agent Reinforcement Learning, Justin Romberg, Georgia Institute of Technology, Presentation Slides, Video.
- 10/23/2020; TAMIDS Seminar: Computational Frameworks for Higher-Order Network Data Analysis, Austin Benson, Cornell University, Presentation Slides, Video.
- 10/16/2020; TAMIDS Tutorial: Iterating Between the Data World and the Real World to Find Answers in Big Data, Hye-Chung Kum, Texas A&M, Presentation Slides, Video.
- 10/09/2020; TAMIDS Seminar: Local Gaussian Process Regression for Spatial Data, Arash Pourhabib, Google, Presentation Slides (waiting for internal approval), Video.
- 10/06/2020; TAMIDS Tech Talk: ADCME: Machine Learning for Computational Engineering, Kailai Xu, Stanford University, Presentation Slides, Video.
- 10/02/2020; TAMIDS-CoDHR Seminar: Leveraging the Alignment between Machine Learning and Intersectionality: Using Word Embeddings to Visualize Intersectional Experiences of the Nineteenth-Century U.S. South, Laura Nelson, Northeastern University, Presentation Slides, Video.
- 9/25/2020; TAMIDS Seminar: Towards a Paradigm for Visual Modeling; Fahd Husain, Uncharted Software; Presentation Slides, Video.
- 9/18/2020; TRIPODS Distinguished Tutorial: Functional and Shape Data Analysis; Anuj Srivastava, Florida State University, Pre-Workshop Materials, together with a Note for Attendees; Presentation Slides, Video.
- 9/4/2020; TAMIDS Tutorial: Gaussian Processes and Bayesian Optimization; Rui Tuo, Texas A&M, Lecture Slides, Demo Slides, Demo Code, Video.
- 6/12/2020; TAMIDS Tutorial: Introduction to Deep Learning; Boris Hanin, Texas A&M, Presentation Slides, Video
- 5/15/2020; TAMIDS Tutorial: Business Analytics: Strategic Issues and Solutions; Venkatesh Shankar, Texas A&M, Pre-workshop Materials (TAMU NetID login required), Presentation Slides, Video (TAMU NetID login required per speaker’s request)
- 4/24/2020; Data Science Seminar; Pitfalls of Big Data; Vicki Bier, University of Wisconsin, Presentation Slides, Video
- 4/3/2020; TAMIDS Tutorial: Reinforcement Learning – Algorithms and Applications; Dileep Kalathil, Texas A&M; Presentation Slides, Video
- 2/21/2020; TAMIDS Tutorial: Interpretable Machine Learning: Concepts and Techniques; Xia “Ben” Hu, Texas A&M; Presentation Slides
- 1/31/2020; Data Science Seminar; Post-hoc Uncertainty Quantification for Remote Sensing Observing Systems; Amy Braverman, JPL Nasa / Caltech; Presentation Slides
- 1/17/2020; Data Science Seminar; Learning to Benchmark; Alfred O. Hero III, University of Michigan; Presentation Slides, Video