Poster
|
Wed 14:00
|
Mining Multi-Label Samples from Single Positive Labels
Youngin Cho · Daejin Kim · MOHAMMAD AZAM KHAN · Jaegul Choo
|
|
Workshop
|
|
Toward Neural Network Simulation of Variational Quantum Algorithms
Oliver Knitter · James Stokes · Shravan Veerapaneni
|
|
Poster
|
Wed 14:00
|
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling
Rémi Leluc · François Portier · Johan Segers · Aigerim Zhuman
|
|
Poster
|
Tue 14:00
|
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement
Cian Naik · Judith Rousseau · Trevor Campbell
|
|
Poster
|
Thu 14:00
|
Nonlinear MCMC for Bayesian Machine Learning
James Vuckovic
|
|
Workshop
|
|
Monte Carlo Techniques for Addressing Large Errors and Missing Data in Simulation-based Inference
Bingjie Wang · Joel Leja · Victoria Villar · Joshua Speagle
|
|
Workshop
|
|
Towards Neural Variational Monte Carlo That Scales Linearly with System Size
Or Sharir · Garnet Chan · Anima Anandkumar
|
|
Poster
|
Thu 14:00
|
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Richard Grumitt · Biwei Dai · Uros Seljak
|
|
Poster
|
|
Fixed-Distance Hamiltonian Monte Carlo
Hadi Mohasel Afshar · Sally Cripps
|
|
Poster
|
Tue 14:00
|
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling
Gabriel Cardoso · Sergey Samsonov · Achille Thin · Eric Moulines · Jimmy Olsson
|
|
Poster
|
Wed 9:00
|
Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
|
|
Poster
|
|
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian
|
|