محاضرة الاستاذ روجر نلسن من كلية لوس وكلارك في الولايات المتحدة الامريكية
اسم المحاضر : Roger Nelson اسم المحاضرة : How I learned about Copulas قدمت المحاضرة ضمن اعمال ورشة العمل الدولية التي اقامها قسم الرياضيات في كلية التربية في ...
د. نعمه الاسدي جامعة الكوفة
Some Problems of Robust High-dimensional Statistics
Gilad Lerman (University of Minnesota) https://simons.berkeley.edu/talks/some-problems-robust-high-dimensional-statistics Robust and High-Dimensional ...
Simons Institute
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization, Yuejie Chi
London Mathematical Society
The 7 Reasons Most Machine Learning Funds Fail Marcos Lopez de Prado from QuantCon 2018
This talk, titled The 7 Reasons Most Machine Learning Funds Fail, looks at the particularly high rate of failure in financial machine learning. The few managers ...
Quantopian
Statistical Physics and Computation in High Dimension
Florent Krzakala, ENS & Lenka Zdeborova, CEA Saclay https://simons.berkeley.edu/talks/tbd-168 Probability, Geometry, and Computation in High Dimensions ...
Simons Institute
Illinois Online Master of Computer Science (MCS) and MCS in Data Science Admissions Webinar
Learn more about the University of Illinois' online Master of Computer Science (MCS) and Master of Computer Science in Data Science (MCS-DS) programs in ...
Coursera
CRAMER - RAO INEQUALITY REVISITED
Indian Academy of Sciences
"Safe Learning and Control with L1 Adaptation" - Naira Hovakimyan
Safe Learning and Control with L1 Adaptation - Naira Hovakimyan (UIUC) Abstract: Learning-based control paradigms have seen many success stories with ...
Robotics Today
ICIAM TV Episode 3: Engineering and Technology
Featuring: Water, Gas and Electromagnetism - Alfredo Bermúdez de Castro Basque Centre for Applied Mathematics MathTalk with Prof. Ortegón - J.A.C. ...
WebsEdge Science
Benedetto Piccoli: "Social dynamics, control of large groups and vehicular traffic"
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop IV: Social Dynamics beyond Vehicle Autonomy "Social dynamics, control ...
Institute for Pure & Applied Mathematics (IPAM)
ACM-IMS Interdisciplinary Summit on the Foundations of Data Science
On June 15, 2019, this interdisciplinary event in San Francisco brought together researchers and practitioners to address deep learning, reinforcement learning, ...
Association for Computing Machinery (ACM)
RSS and PSI Journal webinar: Adaptive Designs
Speakers: Dr Guosheng Yin from the Department of Statistics and Actuarial Science at the University of Hong Kong: 'Two stage adaptive randomisation for ...
RoyalStatSoc
1st Joint Meeting Brazil-France in Mathematics - Opening
1st Joint Meeting Brazil-France in Mathematics - Opening Event's Website: http://bit.ly/2XCPDE8 Videos Playlist: http://bit.ly/2XIO8Jr The first joint meeting ...
Instituto de Matemática Pura e Aplicada
An Instability in Variational Methods for Learning Topic Models
Andrea Montanari, Stanford University https://simons.berkeley.edu/talks/andrea-montanari-11-30-17 Optimization, Statistics and Uncertainty.
Simons Institute
Differential Privacy from a Statistical Perspective–Obtaining Valid Inferences...
Jörg Drechsler (Institute for Employment Research) https://simons.berkeley.edu/talks/tba-52 Data Privacy: From Foundations to Applications.
Simons Institute
Stanford Seminar - Learning and Predictions in Autonomous Systems
Francesco Borrelli UC Berkeley October 25, 2019 Forecasts play an important role in autonomous and automated systems. Applications include transportation ...
stanfordonline
Entropy and the Kac master equation - V
Speaker: Loss, M. (Georgia Institute of Technology, Atlanta) Advanced School & Workshop on Nonlocal Partial Differential Equations and Applications to ...
ICTP Mathematics
Colloquium Sept 24, 2020 -- Machine Learning for the Physical Sciences
Kyle Cranmer New York University How Machine Learning Can Help Us Get the Most Out of Our Highest Fidelity Physical Models Physics is replete with ...
NYU Physics
Symposium IA Montréal - séance du matin / morning session
Le Symposium IA Montréal vise à rassembler les experts et professionnels intéressés par les percées fondamentales et les applications de l'intelligence ...
polymtlvideos
In Pursuit of Structure: Why a Little Randomness (Almost) Always Helps
Julia Wolf (University of Bristol) https://simons.berkeley.edu/events/openlectures2017-spring-3 Simons Institute Open Lecture.
Simons Institute
On Computational Thinking, Inferential Thinking and Data Science
Speaker: Michael Jordan Title / Affiliation: Professor, Departments of Statistics and EECS, University of California, Berkeley Talk Abstract: The rapid growth in the ...
IBM Research
Hypergradient descent and Universal Probabilistic Programming
Online Learning Rate Adaptation with Hypergradient Descent: We introduce a general method for improving the convergence rate of gradient-based optimizers ...
Microsoft Research
CDME2018 Zach Pardos
The Mind in Big Data Abstract: As learner interactions increasingly involve digital components, the availability of data traces of the learning process increases; ...
EDRL at UC Berkeley
Contributed Talks 1
Contributed Talks 1 Ting Huang (Northeastern University), Simina M. Boca (Georgetown University Medical Center), Philippe Boileau (University of California, ...
Bioconductor
Feature Allocations, Probability Functions, and Paintboxes
Feature Allocations, Probability Functions, and Paintboxes Tamara Broderick - UC Berkeley Department of Statistics 3/3/2014.
UW Video
Spin Glasses and Complexity
Recorded May 14, 2013. How are magnetic materials related to issues in biology and computerscience? Professor Chuck Newman will share how spin glasses ...
UCI Open
Compressed Sensing and Natural Image Statistics
Compressed sensing (CS) refers to a branch of applied mathematics which is based on the surprising result whereby signals that are exactly “k-sparse” (i.e. can ...
Microsoft Research
Tutorial - Browsing SIAM Publications
This video will help you learn how to browse content on SIAM's platform for journals and ebooks at epubs.siam.org.
Society for Industrial and Applied Mathematics
A Flexible Framework for Hypothesis Testing in High-Dimensions
Adel Javanmard (University of Southern California) https://simons.berkeley.edu/talks/flexible-framework-hypothesis-testing-high-dimensions Robust and ...
Simons Institute
Approximation Power
Matus Telgarsky (University of Illinois, Urbana-Champaign) https://simons.berkeley.edu/talks/representation Deep Learning Boot Camp.
Simons Institute
L10 Compression -- UC Berkeley, Spring 2020, CS294-158 Deep Unsupervised Learning
Course homepage: https://sites.google.com/view/berkeley-cs294-158-sp20/home Lecture Instructors: Pieter Abbeel, Jonathan Ho Course Instructors: Pieter ...
Pieter Abbeel
A General Introduction to Quantum Tomography -- and a Specialized Report on Property Testing...
David Gross (University of Cologne) https://simons.berkeley.edu/talks/tbd-148 Quantum Protocols: Testing & Quantum PCPs.
Simons Institute
George Box - Rethinking Statistics for Quality Control
George Box's presentation, Rethinking Statistics for Quality Control, at The W. Edwards Deming Conference in Madison, Wisconsin in 2008. See Peter Scholtes' ...
Curious Cat Management
Designs of dose escalation studies in phase I oncology trials
Ying Lu Stanford University, USA.
Institute for Mathematical Sciences
Lenka Zdeborova: Statistical physics of learning a rule: Decades old story continued
IPhT-TV
Gauss Prize Lecture: Compressed sensing — from blackboard to bedside — David Donoho — ICM2018
Compressed sensing — from blackboard to bedside David Donoho Abstract: In 2017, next-generation Magnetic Resonance Imaging (MRI) devices by General ...
Rio ICM2018
ISIT 2015 Tutorial: Information Theory Meets Machine Learning (1/3)
ISIT 2015 Tutorial Information Theory Meets Machine Learning (part 1 of 3) Emmanuel Abbe (Princeton) Martin Wainwright (UC Berkeley)
IEEE Information Theory Society
Talk by Ilse Ipsen (North Carolina State University)
Probabilistic Numerical Linear Solvers We formulate iterative methods for the solution of nonsingular linear systems as statistical inference processes by ...
ENLA Seminar
David O. Siegmund: Change: Detection,Estimation, Segmentation
CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 08, 2020 by the Centre International de ...
Centre International de Rencontres Mathématiques
New Trends in Parameter Identification for Mathematical Model - George S. Dulikravich
New Trends in Parameter Identification for Mathematical Model - George S. Dulikravich George S. Dulikravich (Florida International Univ.) Program: ...
Instituto de Matemática Pura e Aplicada
Divide-and-Conquer and Statistical Inference for Big Data
Michael I. Jordan's Keynote Speech on the 14th Computing in the 21st Century Conference co-hosted by Microsoft Research Asia, Nankai University and Tianjin ...
Microsoft Research
Trial Math | Legal Probabilism: An Epistemological Dissent
On May 30, 2014, CodeX: The Stanford Center for Legal Informatics hosted the conference "Trial With and Without Mathematics: Legal, Philosophical, and ...
stanfordlawschool
