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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
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
Wed 6:00 Inference in Stochastic Epidemic Models via Multinomial Approximations
Nick Whiteley · Lorenzo Rimella
Poster
Wed 6:00 A unified view of likelihood ratio and reparameterization gradients
Paavo Parmas · Masashi Sugiyama
Poster
Wed 6:00 Couplings for Multinomial Hamiltonian Monte Carlo
Kai Xu · Tor Erlend Fjelde · Charles Sutton · Hong Ge
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
VĂ­ctor Garcia Satorras · Max Welling
Poster
Wed 12:45 Meta-Learning Divergences for Variational Inference
Ruqi Zhang · Yingzhen Li · Christopher De Sa · Sam Devlin · Cheng Zhang
Poster
Thu 7:30 Moment-Based Variational Inference for Stochastic Differential Equations
Christian Wildner · Heinz Koeppl
Poster
Thu 7:30 Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann · Jan Boelts · David Greenberg · Pedro Goncalves · Jakob Macke