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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
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, 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
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Applications -> Denoising; Theory
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Theory
11 Results
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Poster
Wed 6:00
A unified view of likelihood ratio and reparameterization gradients
Paavo Parmas · Masashi Sugiyama
Poster
Wed 6:00
Inference in Stochastic Epidemic Models via Multinomial Approximations
Nick Whiteley · Lorenzo Rimella
Poster
Wed 6:00
Unconstrained MAP Inference, Exponentiated Determinantal Point Processes, and Exponential Inapproximability
Naoto Ohsaka
Poster
Wed 6:00
Neural Enhanced Belief Propagation on Factor Graphs
Víctor Garcia Satorras · Max Welling
Poster
Tue 18:30
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances
Hunter Lang · Aravind Reddy Talla · David Sontag · Aravindan Vijayaraghavan
Poster
Thu 7:30
Moment-Based Variational Inference for Stochastic Differential Equations
Christian Wildner · Heinz Koeppl
Poster
Wed 12:45
Meta-Learning Divergences for Variational Inference
Ruqi Zhang · Yingzhen Li · Christopher De Sa · Sam Devlin · Cheng Zhang
Poster
Tue 14:00
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective
Yibo Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo
Poster
Tue 18:30
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference
Sean Plummer · Shuang Zhou · Anirban Bhattacharya · David Dunson · Debdeep Pati
Poster
Thu 7:30
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann · Jan Boelts · David Greenberg · Pedro Goncalves · Jakob Macke
Poster
Wed 6:00
Couplings for Multinomial Hamiltonian Monte Carlo
Kai Xu · Tor Erlend Fjelde · Charles Sutton · Hong Ge
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