|
Workshop
|
|
On Equivalences between Weight and Function-Space Langevin Dynamics
Ziyu Wang · Yuhao Zhou · Ruqi Zhang · Jun Zhu
|
|
|
Poster
|
Thu 9:00
|
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmir Mutny · Andreas Krause
|
|
|
Poster
|
|
Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
Xinyun Zhu · Yu Qi · Gang Pan · Yueming Wang
|
|
|
Workshop
|
|
MARS: Meta-learning as score matching in the function space
Kruno Lehman · Jonas Rothfuss · Andreas Krause
|
|
|
Poster
|
Thu 14:00
|
Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tim G. J. Rudner · Zonghao Chen · Yee Whye Teh · Yarin Gal
|
|
|
Poster
|
Tue 14:00
|
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
Scott Lowe · Robert Earle · Jason d'Eon · Thomas Trappenberg · Sageev Oore
|
|
|
Poster
|
Thu 9:00
|
Approximation with CNNs in Sobolev Space: with Applications to Classification
Guohao Shen · Yuling Jiao · Yuanyuan Lin · Jian Huang
|
|
|
Poster
|
Tue 9:00
|
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning
Veit David Wild · Robert Hu · Dino Sejdinovic
|
|
|
Workshop
|
|
A Neural Tangent Kernel Perspective on Function-Space Regularization in Neural Networks
Zonghao Chen · Xupeng Shi · Tim G. J. Rudner · Qixuan Feng · Weizhong Zhang · Tong Zhang
|
|
|
Poster
|
|
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
Kha Pham · Thai Hung Le · Man Ngo · Truyen Tran
|
|
|
Poster
|
Thu 14:00
|
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces
Michael Jordan · Tianyi Lin · Emmanouil-Vasileios Vlatakis-Gkaragkounis
|
|
