firstbacksecondback
43 Results
|
Workshop
|
Particle-based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong · Xi Wang · Yong Lin · Tong Zhang |
||
|
Poster
|
Thu 9:00 |
Automatic Differentiation of Programs with Discrete Randomness Gaurav Arya · Moritz Schauer · Frank Schäfer · Christopher Rackauckas |
|
|
Poster
|
Wed 9:00 |
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard YVINEC · Arnaud Dapogny · Matthieu Cord · Kevin Bailly |
|
|
Poster
|
Thu 14:00 |
Variational inference via Wasserstein gradient flows Marc Lambert · Sinho Chewi · Francis Bach · Silvère Bonnabel · Philippe Rigollet |
|
|
Poster
|
Thu 14:00 |
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim · Jisu Oh · Jacob Gardner · Adji Bousso Dieng · Hongseok Kim |
|
|
Poster
|
Tue 9:00 |
Natural gradient enables fast sampling in spiking neural networks Paul Masset · Jacob Zavatone-Veth · J. Patrick Connor · Venkatesh Murthy · Cengiz Pehlevan |
|
|
Workshop
|
Conditional gradient-based method for bilevel optimization with convex lower-level problem Ruichen Jiang · Nazanin Abolfazli · Aryan Mokhtari · Erfan Yazdandoost Hamedani |
||
|
Workshop
|
Score Modeling for Simulation-based Inference Tomas Geffner · George Papamakarios · Andriy Mnih |
||
|
Workshop
|
Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference Bingjie Wang · Joel Leja · Victoria Villar · Joshua Speagle |
||
|
Panel
|
Thu 10:45 |
Panel 5A-4: Uni[MASK]: Unified Inference… & Model-Based Offline Reinforcement… Kaiyang Guo · Micah Carroll |
|
|
Workshop
|
Sat 7:20 |
Information-based exploration under active inference Noor Sajid |
|
|
Poster
|
Wed 9:00 |
Understanding Benign Overfitting in Gradient-Based Meta Learning Lisha Chen · Songtao Lu · Tianyi Chen |