Breaking the Sample Size Barrier in Reinforcement Learning via A Model-Based Approach (a.k.a. the Plug-in Approach): Neyman Seminar
Neyman Seminar
Nov 18, 2020, 04:00 PM | Evans Hall
Yuxin Chen, Princeton University
Events
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Berkeley-Stanford Joint Colloquium at Stanford
Neyman Seminar
Nov 10, 2020, 04:30 PM | Evans Hall
Will Fithian, University of California, Berkeley
Neyman seminar
Neyman Seminar
Nov 4, 2020, 04:00 PM | Evans Hall
Yihong Wu, Yale University
Neyman seminar
Neyman Seminar
Oct 28, 2020, 04:00 PM | Evans Hall
Susan Murphy, Harvard University
Neyman seminar
Neyman Seminar
Oct 22, 2020, 04:00 PM | Evans Hall
Peng Ding, UC Berkeley
Neyman seminar
Neyman Seminar
Oct 21, 2020, 04:00 PM | Evans Hall
Aaron Roth, University of Pennsylvania
Neyman seminar
Neyman Seminar
Oct 14, 2020, 04:00 PM | Evans Hall
José R. Zubizarreta, Harvard University
Neyman seminar
Neyman Seminar
Oct 7, 2020, 04:00 PM | Evans Hall
Misha Belkin, UC San Diego
Bayesian inference for high-dimensional nonstationary Gaussian processes: Neyman seminar
Neyman Seminar
Sep 30, 2020, 04:00 PM | Evans Hall
Mark Risser, Lawrence Berkeley National Laboratory
Joint Colloquium with Upenn
Neyman Seminar
Sep 23, 2020, 01:30 PM | Evans Hall
Sam Pimentel, UC Berkeley
Artificial intelligence: A modified approach
Neyman Seminar
Apr 1, 2020, 04:00 PM | Zoom meeting 2224 Piedmont (Center for Digital Archaeology )
Stuart Russell, UC Berkeley
A cautionary tale in applied statistics
Neyman Seminar
Mar 11, 2020, 04:00 PM | 1011 Evans Hall
John Williams
Trend Filtering, From Univariate to Graphs, and Old and to New
Neyman Seminar
Feb 24, 2020, 04:00 PM | 1011 Evans Hall
Ryan Tibshirani, Carnegie Mellon University
High-dimensional signal and noise in 20,000 neuron recordings
Neyman Seminar
Feb 19, 2020, 04:00 PM | 1011 Evans Hall
Carsen Stringer, HHMI Janelia Research
Generalization error of linearized neural networks: staircase and double-descent
Neyman Seminar
Feb 12, 2020, 04:00 PM | 1011 Evans Hall
Song Mei, Stanford University
Quantifying Uncertainty in Complex Systems with Applications to Brain Connectomics
Neyman Seminar
Feb 3, 2020, 04:00 PM | 1011 Evans Hall
Claire Donnat, Stanford University
Bayesian Probabilistic Numerical Methods
Neyman Seminar
Jan 29, 2020, 04:00 PM | 1011 Evans Hall
Tim Sullivan, Freie Universität Berlin and Zuse Institute Berlin
Optimal adaptive design of experiments for stochastic dynamic systems
Neyman Seminar
Jan 22, 2020, 04:00 PM | 1011 Evans Hall
Giles Hooker, Cornell University
Statistical Treatment of inverse problems constrained by differential equations-based models with stochastic terms
Neyman Seminar
Dec 4, 2019, 04:00 PM | 1011 Evans Hall
Noemi Petra, UC Merced
Ensembles of Trees and CLT's: Inference and Machine Learning
Neyman Seminar
Nov 20, 2019, 04:00 PM | 1011 Evans Hall
Giles Hooker, Cornell University
Existence and uniqueness of the Liouville quantum gravity metric for $\gamma \in (0,2)$
Neyman Seminar
Nov 13, 2019, 04:00 PM | 1011 Evans Hall
Jason Miller, University of Cambridge
Mathematics of deep learning?
Neyman Seminar
Nov 5, 2019, 04:00 PM | 1011 Evans Hall
Roman Vershynin, University of California, Irvine
Non-linear feature selection in high-dimensional genomic data sets
Neyman Seminar
Oct 30, 2019, 04:00 PM | 1011 Evans Hall
Chloé-Agathe Azencott, Mines ParisTech
The top principal value and the distance to Athens
Neyman Seminar
Oct 23, 2019, 04:00 PM | 1011 Evans Hall
Balint Virag, University of Toronto
Flexibility, Interpretability, and Scalability in Time Series Modeling
Neyman Seminar
Oct 16, 2019, 04:00 PM | 1011 Evans Hall
Emily Fox, University of Washington