firstbacksecondback
34 Results
|
Poster
|
Wed 8:00 |
Stochastic Gradient and Langevin Processes Xiang Cheng · Dong Yin · Peter Bartlett · Michael Jordan |
|
|
Poster
|
Wed 8:00 |
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory Zhou Fan · Cheng Mao · Yihong Wu · Jiaming Xu |
|
|
Poster
|
Wed 8:00 |
Undirected Graphical Models as Approximate Posteriors Arash Vahdat · Evgeny Andriyash · William Macready |
|
|
Poster
|
Wed 13:00 |
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach Miles Lopes · Jessie X.T. Chen |
|
|
Poster
|
Wed 10:00 |
Handling the Positive-Definite Constraint in the Bayesian Learning Rule Wu Lin · Mark Schmidt · Mohammad Emtiyaz Khan |
|
|
Poster
|
Thu 17:00 |
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes Naoto Ohsaka · Tatsuya Matsuoka |
|
|
Poster
|
Thu 13:00 |
The Boomerang Sampler Joris Bierkens · Sebastiano Grazzi · Kengo Kamatani · Gareth Roberts |
|
|
Poster
|
Wed 13:00 |
Involutive MCMC: a Unifying Framework Kirill Neklyudov · Max Welling · Evgenii Egorov · Dmitry Vetrov |
|
|
Poster
|
Tue 7:00 |
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm Christopher DeCarolis · Mukul A Ram · Seyed Esmaeili · Yu-Xiang Wang · Furong Huang |
|
|
Poster
|
Tue 7:00 |
Amortized Population Gibbs Samplers with Neural Sufficient Statistics Hao Wu · Heiko Zimmermann · Eli Sennesh · Tuan Anh Le · Jan-Willem van de Meent |
|
|
Poster
|
Thu 6:00 |
p-Norm Flow Diffusion for Local Graph Clustering Kimon Fountoulakis · Di Wang · Shenghao Yang |
|
|
Poster
|
Thu 13:00 |
Spectral Clustering with Graph Neural Networks for Graph Pooling Filippo Maria Bianchi · Daniele Grattarola · Cesare Alippi |