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Computer Architecture - Lecture 12: Memory Interference and QoS (ETH Zürich, Fall 2017)
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Onur Mutlu Lectures
Large Scaled Insurance Analytics Using Tweedie Models in Apache Spark - Yanwei Zhang
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Databricks
Dynamical, symplectic and stochastic perspectives on optimization – Michael Jordan – ICM2018
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Rio ICM2018
ROB 2018 - Stefan Roth: Robust Scene Analysis
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Hashing-based-estimators for Kernel Density in High Dimensions
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Latent state modeling in mobile health and diagnostic classification
Tze Leung Lai Stanford University, USA.
Institute for Mathematical Sciences
Quantum Linear Algebra With Near-Optimal Complexities
Lin Lin (UC Berkeley) The Quantum Wave in Computing Seminar, May 12, 2020 ...
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Caroline Uhler (MIT) -- Causal inference through permutation-based algorithms
MIFODS Workshop on Learning with Complex Structure Cambridge, US January 27-29, 2020.
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Joan Bruna: "Geometric Insights for Nonlinear TD Convergence"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to ...
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Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates | TDLS
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ML Explained - A.I. Socratic Circles - AISC
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Machine learning - Unconstrained optimization
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Nando de Freitas
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Society for Industrial and Applied Mathematics
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SAS Tutorial | Introduction to Bayesian Analysis
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SAS Users
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Institute for Advanced Study
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Always Valid Inference: Continuous Monitoring of A/B Tests
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Extending simulation-based Bayesian inference to higher dimensions
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Computer Vision Project Management in the Age of AI - Webinar by RSIP Vision - April 29
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GoogleTechTalks
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Microsoft Research
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Locally Private Bayesian Inference for Count Models
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PV PANEL MODELLING AND IDENTIFICATION
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2009 Wagner Prize Winner - Princeton University
Approximate Dynamic Programming Captures Fleet Operations for Schneider National Schneider National needed a model that would replicate the behavior of ...
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Advanced Algorithms Introduction, Syllabus and Algorithm Analysis
Advanced Algorithms lecture 20190124.
Hyrum Carroll
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Sampling Techniques for Constraint Satisfaction and Beyond
Constraint problems have played a key role in diverse areas spanning testing, formal verification, planning, inferencing and the like. Apart from the classical ...
Microsoft Research
