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