|
Poster
|
Tue 9:00
|
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria · Amit Deshpande · Pushmeet Kohli
|
|
|
Poster
|
Tue 9:00
|
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
Elad Richardson · Rom Herskovitz · Boris Ginsburg · Michael Zibulevsky
|
|
|
Poster
|
Tue 9:00
|
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization
Jian Wu · Peter Frazier
|
|
|
Poster
|
Wed 9:00
|
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
Dehua Cheng · Richard Peng · Yan Liu · Kimis Perros
|
|
|
Poster
|
Tue 9:00
|
Stochastic Variance Reduction Methods for Saddle-Point Problems
Balamurugan Palaniappan · Francis Bach
|
|
|
Poster
|
Mon 9:00
|
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Se-Young Yun · Alexandre Proutiere
|
|
|
Poster
|
Mon 9:00
|
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages
Yin Cheng Ng · Pawel M Chilinski · Ricardo Silva
|
|
|
Poster
|
Mon 9:00
|
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
Sashank J. Reddi · Suvrit Sra · Barnabas Poczos · Alexander Smola
|
|
|
Poster
|
Wed 9:00
|
Mixed vine copulas as joint models of spike counts and local field potentials
Arno Onken · Stefano Panzeri
|
|
|
Poster
|
Tue 9:00
|
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee · Senthil Purushwalkam · Michael Cogswell · Viresh Ranjan · David Crandall · Dhruv Batra
|
|
|
Poster
|
Tue 9:00
|
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
Davood Hajinezhad · Mingyi Hong · Tuo Zhao · Zhaoran Wang
|
|
|
Poster
|
Wed 9:00
|
Infinite Hidden Semi-Markov Modulated Interaction Point Process
matt zhang · Peng Lin · Peng Lin · Ting Guo · Yang Wang · Yang Wang · Fang Chen
|
|
