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Search All 2021 Events
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Algorithms
Algorithms; Algorithms
Algorithms -> Bandit Algorithms; Reinforcement Learning and Planning
Algorithms -> Bandit Algorithms; Theory
Algorithms -> Classification; Algorithms -> Meta-Learning; Applications
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Algorithms -> Classification; Deep Learning -> CNN Architectures; Reinforcement Learning and Planning
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Algorithms -> Regression; Algorithms -> Uncertainty Estimation; Probabilistic Methods; Probabilistic Methods
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Algorithms -> Representation Learning; Applications -> Computer Vision; Applications
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Algorithms -> Semi-Supervised Learning; Deep Learning -> Optimization for Deep Networks; Optimization
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Theory
Results
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Poster
Wed 6:00
Learning Bijective Feature Maps for Linear ICA
Alexander Camuto · Matthew Willetts · Chris Holmes · Brooks Paige · Stephen Roberts
Oral
Thu 13:45
Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time
Alan Kuhnle
Poster
Wed 12:45
Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time
Alan Kuhnle
Poster
Thu 7:30
A Stein Goodness-of-test for Exponential Random Graph Models
Wenkai Xu · Gesine Reinert
Poster
Wed 12:45
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
Shiyun Xu · Zhiqi Bu
Poster
Tue 18:30
Prediction with Finitely many Errors Almost Surely
Changlong Wu · Narayana Santhanam
Poster
Tue 18:30
On the High Accuracy Limitation of Adaptive Property Estimation
Yanjun Han
Poster
Tue 18:30
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
Chaoqi Wang · Shengyang Sun · Roger Grosse
Poster
Tue 14:00
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
Zhiqi Bu · Shiyun Xu · Kan Chen
Poster
Thu 7:30
A Contraction Approach to Model-based Reinforcement Learning
Ting-Han Fan · Peter Ramadge
Poster
Thu 7:30
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
Alexander Camuto · Matthew Willetts · Stephen Roberts · Chris Holmes · Tom Rainforth
Poster
Wed 6:00
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
Baohe Zhang · Raghu Rajan · Luis Pineda · Nathan Lambert · André Biedenkapp · Kurtland Chua · Frank Hutter · Roberto Calandra
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