Past Events

Event Date:
October 7, 2020 1-4 pm ET
Event Type:
NISS Hosted, NISS Sponsored
[Please Note: The Essential Data Science for Business: Data Science Workflows Session has already occurred.   Go to the News Story for this event to read about what happened., or... Missed this Event? To gain access to the recording of this event along with links to supporting files and information... more
Event Date:
Friday, October 2nd, 11am ET
Event Type:
NISS Sponsored
Learning Dynamical Systems with Side Information Speaker Amir Ali Ahmadi, Princeton University Abstract We present a mathematical and computational framework for the problem of learning a dynamical system from noisy observations of a few trajectories and subject to side information. Side... more
Event Date:
September 25, 2020 1:30-3 pm EDT
Event Type:
NISS Hosted, NISS Sponsored
[Please Note: This Ingram Olkin Forum session has already occurred.  Go to the News Story for this event to read about what happened.] Algorithms used for policies, evaluations, and discoveries that involve or affect people have become commonplace.  Typically constructed by statistical and machine... more
Event Date:
September 18, 2020, 3:30 - 4:30 p.m. EDT
Event Type:
NISS Sponsored
Integrating Domain-Knowledge into Deep Learning Ruslan Salakhutdinov, (Machine Learning Department, School of Computer Science, Carnegie Mellon University Abstract I will first discuss deep learning models that can find semantically meaningful representations of words, learn to read documents and... more
Event Date:
September 16, 2020 11-12:30 ET
Event Type:
NISS Hosted, NISS Sponsored
[Please Note: The session has already occurred.  Go to the News Story for this event to read about what happened.] The National Institute of Statistical Science (NISS) and Merck are sponsoring a Virtual Meet-Up on Vaccine Development. With the COVID pandemic having such a profound effect, everyone... more
Event Date:
September 15, 2020 3 pm ET
Event Type:
NISS Sponsored
Event Location:
Online Webinar

United States
Statistical Optimization Methods for Machine Learning Abstract Statistics and optimization are two of the foundational pillars of machine learning, and it is well recognized that optimization provides powerful tools for statistics. In recent years, techniques of the complementary nature, i.e.,... more
Event Date:
September 15, 2020 10 - 1 pm ET
Event Type:
NISS Hosted, NISS Sponsored
[Please Note: The Overview Session has already occurred.  Go to the News Story for this event to read about what happened.] Day Four:  Randomization Tests COVID-19 has resulted in unprecedented clinical trial disruptions. These disruptions have called into question the validity of many planned... more
Event Date:
September 11th, 3pm ET
Event Type:
NISS Sponsored
Convergence and Sample Complexity of Gradient Methods for the Model-Free Linear Quadratic Regulator Problem Abstract Model-free reinforcement learning attempts to find an optimal control action for an unknown dynamical system by directly searching over the parameter space of controllers. The... more
Event Date:
September 11, 2020, 10:30 – 11:30 a.m. ET
Event Type:
NISS Sponsored
A Representational Model of Grid Cells Based on Matrix Lie Algebras Ying Nian Wu (Department of Statistics, University of California, Los Angeles)  Abstract:  A key perspective of deep learning is representation learning, where concepts are embedded in latent space and are represented by latent... more
Event Date:
September 4, 2020, 10:30 - 11:30 am ET
Event Type:
NISS Sponsored
Distributed Machine Learning Heng Huang (Department of Electrical and Computer Engineering & Department of Biomedical Informatics, University of Pittsburgh) Abstract Machine learning is gaining fresh momentum, and has helped us to enhance not only many industrial and professional processes but... more

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