The Extrapolation of Correlation
Neyman Seminar
Apr 20, 2023, 04:00 PM | 1011 Evans Hall
Victor M. Panaretos, Institute of Mathematics, EPFL
Events
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Mathematical models inspired by Experimental Evolution
Neyman Seminar
Apr 5, 2023, 04:00 PM | 1011 Evans Hall
Adrian Gonzalez Casanova Soberon, UC Berkeley
Machine Learning-based Predictive Inference of Individualized Treatment Effects
Neyman Seminar
Mar 22, 2023, 04:00 PM | 1011 Evans Hall
Ahmed Alaa, UC Berkeley and UCSF
Seeing into the future: Machine learning for personalized cancer screening
Neyman Seminar
Mar 15, 2023, 04:00 PM | 1011 Evans Hall
Adam Yala, UC Berkeley and UCSF
Dynamical mechanisms underlying robust and flexible computation in neural populations
Neyman Seminar
Feb 23, 2023, 04:00 PM | Evans Hall
Lea Duncker, Stanford University
Responsible Machine Learning through the Lens of Causal Inference
Neyman Seminar
Feb 21, 2023, 04:00 PM | 1011 Evans Hall
Amanda Coston, Carnegie Mellon University
Computational principles on olfactory circuits and cerebellum architecture
Neyman Seminar
Feb 15, 2023, 04:00 PM | 1011 Evans Hall
Naoki Hiratani, Harvard University
Taming machine learning models of neural dynamics with anatomical and behavioral constraints
Neyman Seminar
Feb 13, 2023, 04:00 PM | 1011 Evans Hall
Shreya Saxena, University of Florida
Stable Variable Selection with Knockoffs
Neyman Seminar
Feb 8, 2023, 04:00 PM | 1011 Evans Hall
Zhimei Ren, University of Chicago
How are multiple computations organized within a single network?
Neyman Seminar
Feb 1, 2023, 04:00 PM | 1011 Evans Hall
Laura Driscoll, Stanford University
Theory, Algorithms and Analysis -- how to make sense of large-scale neuroscience data
Neyman Seminar
Jan 30, 2023, 04:00 PM | 1011 Evans Hall
Edward Paxon Frady, UC Berkeley (Performer)
Machine learning, graphs, and machine learning on graphs: from kernel methods to predictive medicine
Neyman Seminar
Jan 25, 2023, 04:00 PM | 1011 Evans Hall
Sanjukta Krishnagopal, UC Berkeley and UCLA
Statistical Tools for Inference on Samples of Networks with Applications to Neuroimaging
Neyman Seminar
Jan 17, 2023, 04:00 PM | 1011 Evans Hall
Daniel Kessler, University of Michigan
A Theory of Universal Learning
Neyman Seminar
Dec 7, 2022, 04:00 PM | Evans Hall
Steve Hanneke, Purdue University
Coding convex bodies under Gaussian noise, and the Wills functional
Neyman Seminar
Nov 30, 2022, 04:00 PM | 1011 Evans Hall
Jaouad Mourtada, CREST - ENSAE, Institut Polytechnique de Paris
A new central limit theorem for the augmented IPW estimator: variance inflation, cross-fit covariance, and beyond
Neyman Seminar
Nov 9, 2022, 04:00 PM | 1011 Evans Hall
Pragya Sur, Harvard University
A new central limit theorem for the augmented IPW estimator: variance inflation, cross-fit covariance, and beyond
Neyman Seminar
Nov 9, 2022, 04:00 PM | 1011 Evans Hall
Pragya Sur, Harvard University
Approximate selective inference via maximum likelihood
Neyman Seminar
Nov 2, 2022, 04:00 PM | 1011 Evans Hall
Snigdha Panigrahi, University of Michigan
Probabilistic preference learning from incomplete rank data
Neyman Seminar
Oct 26, 2022, 04:00 PM | 1011 Evans Hall
Arnoldo Frigessi, University of Oslo
It’s Not What We Said, It’s Not What They Heard, It’s What They Say They Heard
Neyman Seminar
Oct 19, 2022, 04:00 PM | 1011 Evans Hall
Barry D. Nussbaum, University of Maryland Baltimore County
Opinion dynamics on directed complex networks
Neyman Seminar
Oct 12, 2022, 04:00 PM | 1011 Evans Hall
Mariana Olvera-Cravioto, University of North Carolina at Chapel Hill
Random walks on directed random networks
Neyman Seminar
Oct 5, 2022, 04:00 PM | Evans 1011 Evans Hall
Pietro Caputo, Universitá Roma Tre (Speaker)
Data Augmentation MCMC for Bayesian Inference from Privatized Data: Neyman seminar
Neyman Seminar
Sep 28, 2022, 04:00 PM | Evans 1011. Evans Hall
Nianqiao (Phyllis) Ju, Purdue University
Assigning Topics to Documents by Successive Projections: Neyman seminar
Neyman Seminar
Sep 21, 2022, 04:00 PM | Evans 1011. Evans Hall
Olga Klopp, ESSEC Business School
Using Deep Learning for Explanations, and Explaining Deep Learning: Neyman seminar
Neyman Seminar
Sep 14, 2022, 04:00 PM | Evans 1011. Evans Hall
Jacob Steinhardt, UC Berkeley