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Nov 2nd 2023
News
Amii Canada CIFAR AI Chair Mark Schmidt awarded NSERC’s Arthur B. McDonald Fellowship
Learn more about Mark Schmidt's work into optimization in machine learning, computer vision and other applications, and how the Fellowship will allow him to advance it.
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Jul 13th 2021
News
Amii at ICML 2021: Accepted papers & workshops
The work of Amii researchers is being featured at the 38th annual International Conference on Machine Learning (ICML), running online this year from July 18 to 24.
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Jul 12th 2021
Research Post
Tractable structured natural-gradient descent using local parameterizations
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Dec 31st 2020
Research Post
Robust Asymmetric Learning in POMDPs
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Dec 6th 2020
Research Post
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses
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Dec 1st 2020
Research Post
Counting objects in images based on approximate locations
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Nov 30th 2020
News
Amii accepted papers, workshops & tutorials at NeurIPS 2020
Amii is proud to share the efforts and achievements of our researchers at the 34th Conference on Neural Information Processing Systems (NeurIPS), running online this year Dec 6 - 12.
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Nov 12th 2020
Research Post
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
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Oct 25th 2020
Research Post
Proposal-Based Instance Segmentation With Point Supervision
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Oct 2nd 2020
Research Post
Variance-Reduced Methods for Machine Learning
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Jul 13th 2020
News
Amii at ICML 2020: 17 Papers Accepted at Premier ML Conference
Amii is proud to feature the work of our researchers at the 37th International Conference on Machine Learning (ICML).
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Jun 11th 2020
Research Post
Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
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May 27th 2020
News
AI Seminar Series 2020: Mark Schmidt on Faster Algorithms for Deep Learning
On May 22, 2020, Canada CIFAR AI Chair at Amii Mark Schmidt presented “Faster Algorithms for Deep Learning?”.
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Mar 22nd 2020
Research Post
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
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Aug 20th 2019
Research Post
A Less Biased Evaluation of Out-of-distribution Sample Detectors
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Apr 9th 2019
News
Amii welcomes two additional Canada CIFAR AI Chairs
Together with the University of British Columbia, Amii is pleased to welcome two additional Canada CIFAR AI Chairs to our family: Mark Schmidt and Kevin Leyton-Brown.
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Jul 25th 2018
Research Post
Where are the Blobs: Counting by Localization with Point Supervision
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Sep 4th 2016
Research Post
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
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Jun 14th 2016
Research Post
Minimizing finite sums with the stochastic average gradient
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Aug 18th 2014
Research Post
Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics
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