Fractal Point Events in Physics, Biology, and Communication Networks
In the College of Engineering 2009 Distinguished Lecture, Malvin Carl Teich, a BU professor of engineering and director of the University's Quantum Photonics ...
Boston University
Faculty Summit 2016 - How to Keep your Genome Secret
Over the last 10 years, the cost of sequencing the human genome has come down to around $1000 per person. Human genomic data is a gold-mine of ...
Microsoft Research
Large-Scale Private Learning, Part III
Ilya Mironov (Google) https://simons.berkeley.edu/talks/large-scale-private-learning-part-iii Data Privacy: Foundations and Applications Boot Camp.
Simons Institute
The Power of Numbers | Bryan Winters | TEDxTauranga
How did the concept of zero arise? What is decimal and where did it come from? And why was it so influential in forming political frameworks? In his entertaining ...
TEDx Talks
Mirrored Langevin Dynamics - Ya-Ping Hsieh
The workshop aims at bringing together researchers working on the theoretical foundations of learning, with an emphasis on methods at the intersection of ...
The Alan Turing Institute
Robust Sparse Covariance Estimation by Thresholding Tyler's M-estimator
Boaz Nadler (Weizmann Institute of Science) https://simons.berkeley.edu/talks/robust-sparse-covariance-estimation-thresholding-tylers-m-estimator Robust and ...
Simons Institute
07/18/2018 - Session V: van der Laan
MARK VAN DER LAAN Professor, Biostatistics and Statistics University of California Berkeley.
NASEM Health and Medicine Division
I’m In the Database (But Nobody Knows) — Cynthia Dwork
I'm In the Database (But Nobody Knows) Speaker: Cynthia Dwork Wednesday, February 4, 2015 UC Berkeley School of Information ...
Berkeley School of Information
Morning Session: Causality
Yiling Chen (Harvard University), Moritz Hardt (UC Berkeley), Jay Kaufman (McGill University), Issa Kohler-Hausmann (Yale University) ...
Simons Institute
WSU Master Class: Mathematics, The Language of Nature with Edward Frenkel Course
Join mathematician Edward Frenkel as he discusses how the elegant mathematical formulation of symmetry has been used throughout math and physics and ...
World Science Festival
Data, Professional Judgment, and Modeling in Occupational Exposure Assessment
Presented by: Gurumurthy Ramachandran, PhD, CIH in partnership with Johns Hopkins Education and Research Center for Occupational Safety and Health ...
Center for Occupational and Environmental Health
Computational Data Analysis Class (May 3, 2019)
More details: https://www.simonsfoundation.org/event/computational-data-analysis-class-2019-05-03/
Simons Foundation
Bias in AI panel presentations and Q&A at MIT: 2021 "Unfolding Intelligence" Symposium
It is now well known that AI systems can encode many forms of bias, including those that serve social oppression. It's imperative for system designers to consider ...
Arts at MIT
MSRNE 5th Anniversary Symposium - Progress and New Challenges in Machine Learning/Big Data
This session�s presentations illustrate the work going on in theoretical computer science and mathematics at MSRNE, connections with academia, and ...
Microsoft Research
Controlling FDR While Highlighting Selected Discoveries
Chiara Sabatti (Stanford University) https://simons.berkeley.edu/talks/controlling-fdr-while-highlighting-selected-discoveries Robust and High-Dimensional ...
Simons Institute
CACM June 2016 - RandNLA Randomized Numerical Linear Algebra
Co-author Michael W. Mahoney discusses "RandNLA: Randomized Numerical Linear Algebra" (cacm.acm.org/magazines/2016/6/202647), a Review Article in ...
Association for Computing Machinery (ACM)
Logic and Quantum Information I
Samson Abramsky, University of Oxford https://simons.berkeley.edu/talks/samson-abramsky-2016-08-29 Logical Structures in Computation Boot Camp.
Simons Institute
Reinforcement Learning in Feature Space: Complexity and Regret
Mengdi Wang (Princeton University) https://simons.berkeley.edu/talks/tba-82 Emerging Challenges in Deep Learning.
Simons Institute
Beyond Big-O: Statistical Analysis of Performance Scaling
Holger Hoos, University of British Columbia https://simons.berkeley.edu/talks/holger-hoos-2016-11-15 Learning, Algorithm Design and Beyond Worst-Case ...
Simons Institute
STOC 2020 - Session 5: Best Papers
Association for Computing Machinery (ACM)
Mind Over Data: The One Thing You Know and Machines Don't
Dana Mackenzie, Simons Institute Journalist-in-Residence https://simons.berkeley.edu/events/dana-mackenzie-book-reading-07-18-18#
Simons Institute
数据挖掘-6 2 聚类K Means
最有趣的理论+最有用的算法=不得不学的数据科学。
刘先生
Online Learning in MDPs (Part 1)
Ambuj Tewari (University of Michigan) https://simons.berkeley.edu/talks/tbd-183 Theory of Reinforcement Learning Boot Camp.
Simons Institute
Tom Griffiths - "Connecting human and machine learning via probabilistic models of cognition"
Tom Griffiths, Psychology, UC Berkeley "Connecting human and machine learning via probabilistic models of cognition" http://www.imbs.uci.edu/
UCI Media
Big (Network) Data: Challenges and Opportunities for Data Science - Patrick Wolfe, Purdue University
How do we draw sound and defensible conclusions from big data? This question lies at the heart of data science. In this talk I will first describe some of the ...
Illinois ECE
Physics and Artificial Intelligence in International Law
A presentation on Physics, AI, and Competitive Cooperation to the students of international law at the Borys Grinchenko Kyiv University in Ukraine. The Q&A ...
Luis Razo Bravo
Computational Thinking: What Is It? How Is It Used?
Learn how to solve complex problems with computational thinking. Decomposition, Pattern Recognition, Abstraction and Algorithm Design are explained with ...
College & Career Ready Labs
City Data Conference: from Analytics to AI - Afternoon sessions
On Thursday 24 May, Nesta hosted 'City Data Conference: from Analytics to AI', a day-long event which explored the latest data innovations helping cities and ...
Nesta - The UK's Innovation Agency
Frontiers in Machine Learning: Security and Machine Learning
Machine learning has enabled many advances in processing visual, language, and other digital data signals and, as a result, is quickly becoming integrated in a ...
Microsoft Research
Applied Machine Learning for Data Exfil and Other Fun Topics
by Matt Wolff & Brian Wallace & Xuan Zhao Machine learning techniques have been gaining significant traction in a variety of industries in recent years, and the ...
Black Hat
Introduction to Data Science in R
Pat Callahan from the UCSF Memory and Aging Center provides an introduction to working with R.
UCSF Memory and Aging Center
Richard De Veaux Presents "Data Mining: Fool's Gold? Or the Mother Lode?"
Richard De Veaux (Williams College) presents "Data Mining: Fool's Gold? Or the Mother Lode?" as part of the MAA Distinguished Lecture Series. This lecture ...
Mathematical Association of America
Generative Models
Elchanan Mossel (Massachusetts Institute of Technology) https://simons.berkeley.edu/talks/generative-models Deep Learning Boot Camp.
Simons Institute
Professor Andrea Bertozzi: "Geometric Graph-Based Methods for High Dimensional Data"
The Turing Lectures: The Intersection of Mathematics, Statistics and Computation - Professor Andrea Bertozzi: "Geometric Graph-Based Mathods for High ...
The Alan Turing Institute
G4G20 Public Sector Virtual Meetup
Geo For Good Public Sector Meetup.
Google Earth
Daron Acemoglu: Optimal Targeted Lockdowns for COVID-19 in a Multi-Group SIR Model
C3 Digital Transformation Institute
TutORial: Machine Learning and Data Mining with Combinatorial Optimization Algorithms
By Dorit Simona Hochbaum. The dominant algorithms for machine learning tasks fall most often in the realm of AI or continuous optimization of intractable ...
INFORMS
Live Coding - AWS Innovate | Machine Learning in Production with Twitter Bots (Session 4A)
Learn more about Machine Learning at - https://amzn.to/2LRQqMt. Innovate Online Conference is designed for executives and IT professionals looking to ...
Amazon Web Services
Foundations of Data Science II
Ravi Kannan, Microsoft Research India https://simons.berkeley.edu/talks/clone-intro-his-foundations-data-science-book-ii Foundations of Data Science Boot ...
Simons Institute
Statistical considerations in the clinical development of novel cancer therapies
DahShu
Ulugbek Kamilov: "Computational Imaging: Reconciling Models and Learning"
Deep Learning and Medical Applications 2020 "Computational Imaging: Reconciling Models and Learning" Ulugbek Kamilov, Washington University in St. Louis ...
Institute for Pure & Applied Mathematics (IPAM)
Virtual HLF 2020 – Panel Discussion: Theorems and Initiatives Inspired by Maryam Mirzakhani
Maryam Mirzakhani is an inspiration for many reasons and the panel aims to analyze a few of them. Vincent Delecroix (France) will present one of the theorems ...
Heidelberg Laureate Forum
