|
Poster
|
Wed 17:00
|
Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices
Santosh Vempala · Andre Wibisono
|
|
|
Poster
|
Wed 10:45
|
Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees
Muhammad Osama · Dave Zachariah · Peter Stoica
|
|
|
Poster
|
Thu 17:00
|
Thinning for Accelerating the Learning of Point Processes
Tianbo Li · Yiping Ke
|
|
|
Poster
|
Wed 17:00
|
Fast and Accurate Stochastic Gradient Estimation
Beidi Chen · Yingchen Xu · Anshumali Shrivastava
|
|
|
Poster
|
Thu 17:00
|
On Distributed Averaging for Stochastic k-PCA
Aditya Bhaskara · Pruthuvi Maheshakya Wijewardena
|
|
|
Poster
|
Tue 10:45
|
On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems
Baekjin Kim · Ambuj Tewari
|
|
|
Poster
|
Tue 17:30
|
Necessary and Sufficient Geometries for Gradient Methods
Daniel Levy · John Duchi
|
|
|
Poster
|
Wed 10:45
|
A Stochastic Composite Gradient Method with Incremental Variance Reduction
Junyu Zhang · Lin Xiao
|
|
|
Poster
|
Wed 10:45
|
A Latent Variational Framework for Stochastic Optimization
Philippe Casgrain
|
|
|
Poster
|
Wed 10:45
|
Minimal Variance Sampling in Stochastic Gradient Boosting
Bulat Ibragimov · Gleb Gusev
|
|
|
Poster
|
Thu 10:45
|
Using Statistics to Automate Stochastic Optimization
Hunter Lang · Lin Xiao · Pengchuan Zhang
|
|
|
Poster
|
Thu 17:00
|
Learning metrics for persistence-based summaries and applications for graph classification
Qi Zhao · Yusu Wang
|
|
