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Algorithms
Algorithms; Algorithms
Algorithms -> Bandit Algorithms; Reinforcement Learning and Planning
Algorithms -> Bandit Algorithms; Theory
Algorithms -> Classification; Algorithms -> Meta-Learning; Applications
Algorithms -> Classification; Applications -> Computational Biology and Bioinformatics; Applications
Algorithms -> Classification; Deep Learning -> CNN Architectures; Reinforcement Learning and Planning
Algorithms -> Classification; Deep Learning -> Predictive Models; Neuroscience and Cognitive Science
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Algorithms -> Large Scale Learning; Optimization -> Convex Optimization; Optimization
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Algorithms -> Online Learning; Optimization
Algorithms, Optimization and Computation Methods
Algorithms -> Regression; Algorithms -> Uncertainty Estimation; Probabilistic Methods; Probabilistic Methods
Algorithms -> Regression; Optimization -> Convex Optimization; Theory -> Learning Theory; Theory
Algorithms -> Regression; Probabilistic Methods; Probabilistic Methods
Algorithms -> Representation Learning; Applications -> Computer Vision; Applications
Algorithms -> Semi-Supervised Learning; Applications -> Computer Vision; Applications
Algorithms -> Semi-Supervised Learning; Deep Learning -> Optimization for Deep Networks; Optimization
Algorithms -> Unsupervised Learning; Applications -> Computational Photography; Deep Learning
Algorithms -> Unsupervised Learning; Applications -> Computer Vision; Deep Learning
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Applications -> Computer Vision; Deep Learning -> CNN Architectures; Deep Learning -> Deep Autoencoders; Deep Learning
Applications -> Denoising; Applications -> Signal Processing; Deep Learning
Applications -> Denoising; Theory
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Neuroscience and Cognitive Science -> Human or Animal Learning; Probabilistic Methods
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137 Results
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Poster
Wed 6:00
Dirichlet Pruning for Convolutional Neural Networks
Kamil Adamczewski · Mijung Park
Poster
Tue 14:00
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
Damien Scieur · Lewis Liu · Thomas Pumir · Nicolas Boumal
Poster
Tue 14:00
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications
Shinsaku Sakaue
Poster
Wed 6:00
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
Yuyang Shi · Rob Cornish
Poster
Tue 14:00
Alternating Direction Method of Multipliers for Quantization
Tianjian Huang · Prajwal Singhania · Maziar Sanjabi · Pabitra Mitra · Meisam Razaviyayn
Poster
Wed 12:45
A Study of Condition Numbers for First-Order Optimization
Charles Guille-Escuret · Manuela Girotti · Baptiste Goujaud · Ioannis Mitliagkas
Poster
Thu 7:30
Hadamard Wirtinger Flow for Sparse Phase Retrieval
Fan Wu · Patrick Rebeschini
Poster
Tue 14:00
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
Tengyu Xu · Yingbin Liang
Poster
Wed 6:00
An Analysis of the Adaptation Speed of Causal Models
Remi Le Priol · Reza Babanezhad · Yoshua Bengio · Simon Lacoste-Julien
Poster
Wed 12:45
Feedback Coding for Active Learning
Gregory Canal · Matthieu Bloch · Christopher Rozell
Poster
Thu 7:30
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo
Matthew Hoffman · Alexey Radul · Pavel Sountsov
Oral
Tue 11:45
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo
Matthew Hoffman · Alexey Radul · Pavel Sountsov
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