A Sample of Monte Carlo Methods in Robotics and Vision
Approximate inference by sampling from an appropriately constructed posterior has recently seen a dramatic increase in popularity in both the robotics and ...
Microsoft Research
Introduction to Event Generation by Olivier Mattelaer
matsciencechannel
John Preskill: Quantum information and spacetime (II)
I will review how tools from quantum information theory are providing a fresh perspective on some of the deepest problems in particle physics and gravitation.
Microsoft Research
Michael Jordan - "Combinatorial Stochastic Processes and Nonparametric Bayesian Modeling"
Michael Jordan, EECS & Statistics, UC Berkeley "Combinatorial Stochastic Processes and Nonparametric Bayesian Modeling" http://www.imbs.uci.edu/
UCI Media
Specifying Spatial Dependence 3: Spatial Processes
Spatial Stochastic Process, SAR/CAR/SMA, Spatial Lag/Error/Externalities. Lecture by Luc Anselin (2007).
GeoDa Software
Deep Learning: A Bayesian Perspective by Dr. Vadim Sokolov
"Abstract: Deep Learning is a form of machine learning for nonlinear high dimensional pattern matching and prediction. By taking a Bayesian probabilistic ...
Metron, Inc.
Unsupervised Learning from Max Entropy to Deep Generative Networks
Invited talk: Stephane Mallat Unsupervised Learning from Max Entropy to Deep Generative Networks ABSTRACT. Learning high-dimensional probability ...
COLT
There and Back Again: A Positive Geometer's Tale ▸ Nima Arkani Hamed #KITP #SCAMP
This talk was recorded as part of the Scattering Amplitudes and Beyond - Online Reunion Conference hosted by KITP and coordinated by Livia Ferro, Radu ...
Kavli Institute for Theoretical Physics
Mod-01 Lec-17 Level-crossing statistics of a continuous random process
Physical Applications of Stochastic Processes by Prof. V. Balakrishnan,Department of Physics,IIT Madras.For more details on NPTEL visit http://nptel.ac.in.
nptelhrd
Roger Bivand: Analysing spatial data (ECS530 08)
PhD course. For more details see: https://www.nhh.no/emner/analysing-spatial-data/ Data sets and code available at: https://rsbivand.github.io/ECS530_h19/
Tomislav Hengl (OpenGeoHub Foundation)
Visualization and Interactive Data Analysis - DataEDGE 2013
DataEDGE 2013 - http://dataedge.ischool.berkeley.edu Visualization and Interactive Data Analysis Jeffrey Heer, Assistant Professor of Computer Science, ...
Berkeley School of Information
Michael Stonebraker, 2014 ACM Turing Award Recipient
Discusses his life, research, and business experience in the relational database management field. Topics cover his early life and education, development of ...
Association for Computing Machinery (ACM)
IACS Seminar: New Time Frequency Tools Toward a More Precise Characterization of Brain Rhythms 2/5
Presented by: Demba Ba, Harvard University Talk Abstract: Demba presented two methods to capture intricate spatio-temporal dynamics present in ...
Harvard Institute for Applied Computational Science
Barnett Lecture: Analyse problems, not data
Speaker: Peter Diggle (Lancaster University and Health Data Research UK) A major challenge for the statistics discipline in the twenty-first century is to respond ...
RoyalStatSoc
"Diverse Particle Selection for High-Dimensional Inference in Graphical Models" - Erik Sudderth, UCI
Erik Sudderth Associate Professor of Computer Science University of California, Irvine October 20, 2017 "Diverse Particle Selection for High-Dimensional ...
UCIBrenICS
Advanced (quasi) Monte Carlo methods for image synthesis (SIGGRAPH 2012 Courses)
Advanced (quasi) Monte Carlo methods for image synthesis SIGGRAPH 2012 Courses Alexander Keller Simon Premoze Matthias Raab Monte Carlo ray tracing ...
Research in Science and Technology
17FORCE Mosser probabilistic seismic facies classification using variational bayesian inference
Title: New approaches to seismic interpretation using machine learning: Lightning session Seismic interpretation is a fundamental process in basin and reservoir ...
Force seminars
Intermediate Statistics
Speaker: Eugene Bogomolny (Université XI Paris Sud) Conference on Frontiers of Nanoscience | (smr 2710) 2015_08_25-14_30-smr2710.
ICTP Condensed Matter and Statistical Physics
David Sontag: How Hard is Inference for Structured Prediction
Abstract: Many machine learning tasks can be posed as structured prediction, where the goal is to predict a labeling or structured object. For example, the input ...
Wireless Networking and Communications Group
Peter Diggle: Spatial and Spatio-Temporal Log-Gaussian Cox processes: Re-defining Geostatistics
From the 2014 Workshop on Spatiotemporal Modelling with Gaussian Processes. Full details of the workshop are available here: ...
Open Data Science Initiative
Day 1: Lightning Talks | PyData London 2019
www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the ...
PyData
TCS+ talk: Santosh Vempala
Sampling Polytopes: From Euclid to Riemann.
TCS+
Cetacean Behavioral Response Studies in California: Results, Implications, and New Directions
Speaker: Brandon Southall, Marine Scientist, Southall Environmental Associates & UC Santa Cruz Abstract: Major progress has been made in recent ...
NOAA Central Library
Vadim Sokolov (GMU) Deep Learning A Bayesian Perspective
Abstract: ABSTRACT Deep learning is a form of machine learning for nonlinear high dimensional pattern matching and prediction. By taking a Bayesian ...
GMU SEOR seminars
2013 uw math 480
2013 uw math 480.
William Stein
Math Encounters - Math & Sports: Grabbing the Analytical Edge
What can math tell us about going faster, higher, further? How does math affect athletes from high jumpers to high-wire walkers, from swimmers to soccer stars, ...
National Museum of Mathematics
Adrian Baddeley: The Poisson-saddlepoint approximation
Gibbs spatial point processes are important models in theoretical physics and in spatial statistics. After a brief survey of Gibbs point processes, we will present a ...
Centre International de Rencontres Mathématiques
Kyoto University "Special Lecture on Random Dynamical Systems" Lecture 3
Top Global Course Special Lectures 2 "Special Lecture on Random Dynamical Systems" Lecture 3 Jeroen S.W. Lamb Kyoto University / Distinguished Visiting ...
Kyoto-U OCW
Black Belt in Spatial Analytics by Stuart Lynn - CARTO Locations 2018
Stuart Lynn discusses how analytics and spatial data can come together to give us insights across multiple business fields, and how he tries to bring those same ...
CARTO
Keith Devlin and Scott Simon - MoMath's 2017 Gala
National Museum of Mathematics
IAS MAINS ANSWER WRITING 4 PERSPECTIVES IN GEOGRAPHY
Ensemble IAS
Statistical Rethinking - Lecture 04
Lecture 04, Linear Models, from Statistical Rethinking, A Bayesian Course with R Examples.
Richard McElreath
Healthy Urban Environments July 2020 Convening
On July 29th, the Healthy Urban Environments convening focused on the 2020 cohort, who are just starting their projects under COVID-19 limitations. Each team ...
Julie Ann Wrigley Global Institute of Sustainability
B. Siebert - Toward symplectic cohomology and Lagrangian Floer theory in toric degenerations
Slides available at https://berkeley.box.com/shared/static/2nbfyocoko87gct2fjfuaja20dn5gjyh.pdf.
Simons Collaboration on Homological Mirror Symmetry
Big data and the global obesity epidemic
The Leeds Institute for Data Analytics (LIDA) is hosting a multidisciplinary seminar series covering a range of themes relating to the application of data analytics.
University of Leeds
2012: Carbon, Mineral and Water Fluxes
2012 Spring Cyberseminar Series April 27, 2012 "Christina River Basin CZO: Spatial and Temporal Integration of Carbon, Mineral and Water Fluxes: A Whole ...
CUAHSI
"I spy"
William Lamberti, CSI PhD Student, Department of Computational and Data Sciences, George Mason University. Abstract: Shape proportions and encircle ...
Computational Social Science Program at George Mason University
Dr. Tao Zhu: "Adaptive Multi-Fidelity Polynomial Chaos Approach to Bayesian Inference"
Presentation by Tao Zhu on "Adaptive Multi-Fidelity Polynomial Chaos Approach to Bayesian Inference in Inverse Problems" on 11/27/2018 Symposium on “Big ...
Scientific Computing and Artificial Intelligence
Pete Gething Inaugural Lecture: The Malaria Atlas Project
Nuffield Department of Population Health
Pete Gething Inaugural Lecture: The Malaria Atlas Project
BDI Oxford
