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 18th, 2020 11am ET
Event Type:
NISS Sponsored
Harnessing structure and algorithmic properties for scalable learning methods over networks
Speaker
Na Li, Harvard University
Abstract
Recent radical evolution in distributed sensing, computation, communication, and actuation has fostered the emergence of cyber-physical networked systems, across a... more
Event Date:
September 16, 2020 11-12:30 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.]
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,... more
Event Date:
September 15, 2020 3 pm ET
Event Type:
NISS Sponsored
Event Location:
Online Webinar
United States
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, 2019 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