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(10 events)   Time zone: Conference local time zone  
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Sat Dec 12 08:40 AM -- 09:00 AM (EST)
Opening and Overview
In Non-convex Optimization for Machine Learning: Theory and Practice
Anima Anandkumar
Sat Dec 12 09:10 AM -- 09:40 AM (EST)
Large-Scale Optimization for Deep Learning
In Non-convex Optimization for Machine Learning: Theory and Practice
Yann LeCun
Sat Dec 12 10:30 AM -- 11:00 AM (EST)
When Your Big Data Seems Too Small
In Non-convex Optimization for Machine Learning: Theory and Practice
Gregory Valiant
Sat Dec 12 11:00 AM -- 11:30 AM (EST)
Convolutional Dictionary Learning through Tensor Factorization
In Non-convex Optimization for Machine Learning: Theory and Practice
Furong Huang
Sat Dec 12 02:30 PM -- 03:00 PM (EST)
Provable algorithms for non convex optimization
In Non-convex Optimization for Machine Learning: Theory and Practice
Sanjeev Arora
Sat Dec 12 03:00 PM -- 03:30 PM (EST)
Non convex Optimization by Complexity Progression
In Non-convex Optimization for Machine Learning: Theory and Practice
Hossein Mobahi
Sat Dec 12 03:30 PM -- 04:00 PM (EST)
Computably Feasible Greedy Algorithms for Neural Nets
In Non-convex Optimization for Machine Learning: Theory and Practice
Sat Dec 12 03:30 PM -- 04:00 PM (EST)
Computably Feasible Greedy Algorithms for Neural Nets --- SPEAKER NOT REGISTERED
In Non-convex Optimization for Machine Learning: Theory and Practice
Sat Dec 12 04:30 PM -- 05:00 PM (EST)
Taking it Easy
In Non-convex Optimization for Machine Learning: Theory and Practice
Christopher Ré
Sat Dec 12 05:00 PM -- 05:30 PM (EST)
Spectral Algorithms for Learning HMMs and Tree HHMs for Epigenetics Data
In Non-convex Optimization for Machine Learning: Theory and Practice
Kevin Chen