Sat 6:00 a.m. - 6:05 a.m.
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Welcome
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Talk
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SlidesLive Video »
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Frank Hutter
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Sat 6:05 a.m. - 6:30 a.m.
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"Open Challenges for Automated Machine Learning: Solving Intellectual Debt with Auto AI" by Neil Lawrence
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Keynote Talk
)
SlidesLive Video »
Machine learning models are deployed as part of wider systems where outputs of one model are consumed by other models. This composite structure for machine learning systems is the dominant approach for deploying artificial intelligence. Such deployed systems can be complex to understand, they bring with them intellectual debt. In this talk we'll argue that the next frontier for automated machine learning is to move to automation of the systems design, going from AutoML to AutoAI.
Video
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Neil Lawrence
🔗
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Sat 6:05 a.m. - 6:05 a.m.
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1min Intro
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Intro
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🔗
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Sat 6:30 a.m. - 6:45 a.m.
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Keynote Q&A
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Q&A
)
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🔗
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Sat 6:45 a.m. - 7:00 a.m.
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Contributed Talk 1: Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
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Talk
)
SlidesLive Video »
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Jack Parker-Holder · Vu Nguyen · Stephen Roberts
🔗
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Sat 7:00 a.m. - 7:10 a.m.
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Contributed Talk 1 Q&A
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Q&A
)
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🔗
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Sat 7:10 a.m. - 7:15 a.m.
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1.1 MTL2L: A Context Aware Neural Optimiser
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Spotlight Talk (1min)
)
SlidesLive Video »
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Nicholas Kuo
🔗
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Sat 7:10 a.m. - 7:15 a.m.
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1.2 AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
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Spotlight Talk (1min)
)
SlidesLive Video »
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Jonas Mueller
🔗
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Sat 7:10 a.m. - 7:15 a.m.
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1.3 Cost-Aware Bayesian Optimization
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Spotlight Talk (1min)
)
SlidesLive Video »
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Eric Lee
🔗
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Sat 7:10 a.m. - 7:15 a.m.
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1.4 Multi-Source Unsupervised Hyperparameter Optimization
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Spotlight Talk (1min)
)
SlidesLive Video »
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Masahiro Nomura
🔗
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Sat 7:10 a.m. - 7:15 a.m.
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1.5 Regression Networks for Meta-Learning Few-Shot Classification
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Spotlight Talk (1min)
)
SlidesLive Video »
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Arnout Devos · Matthias Grossglauser
🔗
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Sat 7:15 a.m. - 7:20 a.m.
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1.6 Mining Documentation to Extract Hyperparameter Schemas
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Spotlight Talk (1min)
)
SlidesLive Video »
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Guillaume Baudart · Peter D. Kirchner · Martin Hirzel · Kiran Kate
🔗
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Sat 7:15 a.m. - 7:20 a.m.
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1.7 Tiny Video Networks: Architecture Search for Efficient Video Models
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Spotlight Talk (1min)
)
SlidesLive Video »
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AJ Piergiovanni
🔗
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Sat 7:15 a.m. - 7:20 a.m.
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1.8 Solving Heterogeneous AutoML Problems with AutoGOAL
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Spotlight Talk (1min)
)
SlidesLive Video »
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Suilan Estévez Velarde
🔗
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Sat 7:15 a.m. - 7:20 a.m.
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1.9 Bayesian optimization for Iterative Learning
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Spotlight Talk (1min)
)
SlidesLive Video »
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Vu Nguyen
🔗
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Sat 7:15 a.m. - 7:20 a.m.
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1.10 Weighted Meta-Learning
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Spotlight Talk (1min)
)
SlidesLive Video »
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Diana Cai
🔗
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Sat 7:20 a.m. - 7:25 a.m.
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1.11 Stabilizing Bi-Level Hyperparameter Optimization using Moreau-Yosida Regularization
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Spotlight Talk (1min)
)
SlidesLive Video »
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Sauptik Dhar
🔗
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Sat 7:20 a.m. - 7:25 a.m.
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1.12 Solving Constrained CASH Problems with ADMM
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Spotlight Talk (1min)
)
SlidesLive Video »
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Parikshit Ram · Sijia Liu
🔗
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Sat 7:20 a.m. - 7:25 a.m.
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1.13 A Study on Encodings for Neural Architecture Search
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Spotlight Talk (1min)
)
SlidesLive Video »
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Colin White
🔗
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Sat 7:20 a.m. - 7:25 a.m.
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1.14 Multi-fidelity zero-shot HPO
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Spotlight Talk (1min)
)
SlidesLive Video »
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Fela Winkelmolen · Nikita Ivkin · Hüseyin Furkan Bozkurt · Zohar Karnin
🔗
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Sat 7:20 a.m. - 7:25 a.m.
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1.15 Analysis of Imbalance Strategies Recommendation using a Meta-Learning Approach
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Spotlight Talk (1min)
)
SlidesLive Video »
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Afonso José Costa
🔗
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Sat 7:25 a.m. - 7:30 a.m.
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1.18 Toward Synergism in Macro Action Ensembles
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Spotlight Talk (1min)
)
SlidesLive Video »
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· Kuan-Yu Chang · Zhang-Wei Hong · Chun-Yi Lee
🔗
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Sat 7:25 a.m. - 7:30 a.m.
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1.19 Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
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Spotlight Talk (1min)
)
SlidesLive Video »
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Carlos Medina · Arnout Devos · Matthias Grossglauser
🔗
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Sat 7:25 a.m. - 7:30 a.m.
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1.16 Learning to Prune Deep Neural Networks via Reinforcement Learning
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Spotlight Talk (1min)
)
SlidesLive Video »
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Manas Gupta
🔗
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Sat 7:25 a.m. - 7:30 a.m.
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1.17 W-EDGE: Weight Updating in Directed Graph Ensembles to improve Classification
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Spotlight Talk (1min)
)
SlidesLive Video »
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Xavier Fontes
🔗
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Sat 7:30 a.m. - 8:40 a.m.
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Poster Session 1
(
Poster Session
)
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🔗
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Sat 8:40 a.m. - 8:55 a.m.
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Contributed Talk 2: Bayesian Optimization with Fairness Constraints
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Talk
)
SlidesLive Video »
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Valerio Perrone
🔗
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Sat 8:40 a.m. - 8:45 a.m.
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1 min Intro
(
Intro
)
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🔗
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Sat 8:55 a.m. - 9:10 a.m.
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Contributed Talk 2 Q&A
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Q&A
)
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🔗
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Sat 9:10 a.m. - 10:50 a.m.
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Break
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🔗
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Sat 10:50 a.m. - 11:15 a.m.
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"Automated ML and its transformative impact on medicine and healthcare" by Mihaela van der Schaar
(
Keynote Talk
)
SlidesLive Video »
In this keynote session, I will explain the unique characteristics of healthcare that make it a challenging but extremely promising domain in which to apply AutoML. I will give an overview of several novel approaches we has developed to tackle problems as complex and diverse as AutoML for survival analysis, causal inference, and dynamic forecasting from time-series data. I will also highlight medical AutoML frameworks used in real-world contexts, including predictive tools deployed in response to the COVID-19 pandemic.
Video
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Mihaela van der Schaar
🔗
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Sat 10:50 a.m. - 10:50 a.m.
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1min Intro
(
Intro
)
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🔗
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Sat 11:15 a.m. - 11:30 a.m.
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Keynote Talk Q&A
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Q&A
)
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🔗
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Sat 11:30 a.m. - 11:45 a.m.
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Contributed Talk 3: How far are we from true AutoML: reflection from winning solutions and results of AutoDL challenge
(
Talk
)
SlidesLive Video »
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Zhengying Liu
🔗
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Sat 11:45 a.m. - 11:55 a.m.
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Contributed Talk 3 Q&A
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Q&A
)
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🔗
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Sat 11:55 a.m. - 12:00 p.m.
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2.1 Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Joeran Beel
🔗
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Sat 11:55 a.m. - 12:00 p.m.
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2.2 Towards Algorithm-Agnostic Uncertainty Estimation: Predicting Classification Error in an Automated Machine Learning Setting
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Matthias König
🔗
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Sat 11:55 a.m. - 12:00 p.m.
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2.4 Local Search is State of the Art for Neural Architecture Search Benchmarks
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Colin White
🔗
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Sat 11:55 a.m. - 12:00 p.m.
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2.5 Geometric Dataset Distances via Optimal Transport
(
Spotlight Talk (1min)
)
SlidesLive Video »
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David Alvarez-Melis
🔗
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Sat 11:55 a.m. - 12:00 p.m.
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2.3 Collecting Empirical Data About Hyperparameters for Data Driven AutoML
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Martin Binder
🔗
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Sat 12:00 p.m. - 12:05 p.m.
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2.6 Meta-Learning for Recalibration of EMG-Based Upper Limb Prostheses
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Krsto Proroković
🔗
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Sat 12:00 p.m. - 12:05 p.m.
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2.7 A Simple Setting for Understanding Neural Architecture Search with Weight-Sharing
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Mikhail Khodak
🔗
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Sat 12:00 p.m. - 12:05 p.m.
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2.8 Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Yufei Wang · Tianwei Ni
🔗
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Sat 12:00 p.m. - 12:05 p.m.
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2.9 ‘Algorithm-Performance Personas’ for Siamese Meta-Learning and Automated Algorithm Selection
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Joeran Beel
🔗
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Sat 12:00 p.m. - 12:05 p.m.
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2.10 Uncertainty aware Search framework for Multi-Objective Bayesian Optimization with Constraints
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Syrine Belakaria
🔗
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Sat 12:05 p.m. - 12:10 p.m.
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2.12 Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Sulin Liu
🔗
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Sat 12:05 p.m. - 12:10 p.m.
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2.13 Bayesian Optimization for real-time, automatic design of face stimuli in human-centred research
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Pedro F da Costa
🔗
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Sat 12:05 p.m. - 12:10 p.m.
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2.14 On Evaluation of AutoML Systems
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Sujen Shah · Mitar Milutinovic
🔗
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Sat 12:05 p.m. - 12:10 p.m.
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2.15 H2O AutoML: Scalable Automatic Machine Learning
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Erin LeDell
🔗
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Sat 12:05 p.m. - 12:10 p.m.
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2.11 RicciNets: Curvature-guided Pruning of High-performance Neural Networks Using Ricci Flow
(
Spotlight Talk (1min)
)
SlidesLive Video »
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Samuel Glass
🔗
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Sat 12:15 p.m. - 1:15 p.m.
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Poster Session 2
(
Poster Session
)
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🔗
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Sat 1:15 p.m. - 1:40 p.m.
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"AutoGluon and Distillation" by Alex Smola
(
Keynote Talk
)
SlidesLive Video »
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Alex Smola
🔗
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Sat 1:40 p.m. - 1:55 p.m.
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Keynote Talk Q&A
(
Q&A
)
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🔗
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Sat 1:55 p.m. - 2:00 p.m.
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Short Break
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🔗
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Sat 2:00 p.m. - 2:55 p.m.
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Panel Discussion
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Neil Lawrence · Mihaela van der Schaar · Alex Smola · Valerio Perrone · Jack Parker-Holder · Zhengying Liu
🔗
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