Past Events

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
Event Date:
September 1st, 3 pm ET
Event Type:
NISS Sponsored
On Nearly Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by Machine Learning Abstract For many causal effect parameters of interest, doubly robust machine learning (DRML) estimators are the state-of-the-art, incorporating the good prediction... more
Event Date:
September 1, 2020 10 - 1 pm ET
Event Type:
NISS Hosted, NISS Sponsored
[Please Note: This session has already occurred.  Go to the News Story for this event to read about what happened.] Day Three:  Estimands and Missing Data In recent years there has been increasing scrutiny of precisely what treatment effect is being estimated (the estimand) by a clinical trial, in... more
Event Date:
August 28th - 10:00 am to 5:30 pm ET
Event Type:
NISS Sponsored
About this Conference The Data Science Conference on COVID-19 will showcase open source technology and code used to model and analyze the COVID-19 pandemic and will highlight best practices in replicable and reproducible science.   Presentations will explore epidemic models of the virus and the... more

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