Papers
Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards
Omar Besbes, Yonatan Gur, Assaf Zeevi
Distributed Bayesian Posterior Sampling via Moment Sharing
Minjie Xu, Balaji Lakshminarayanan, Yee Whye Teh et al.
Learning to Optimize via Information-Directed Sampling
Daniel Russo, Benjamin Van Roy
Parallel Feature Selection Inspired by Group Testing
Yingbo Zhou, Utkarsh Porwal, Ce Zhang et al.
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets
Adarsh Prasad, Stefanie Jegelka, Dhruv Batra
Optimal Neural Codes for Control and Estimation
Alex K. Susemihl, Ron Meir, Manfred Opper
Extended and Unscented Gaussian Processes
Daniel M Steinberg, Edwin V. Bonilla
Randomized Experimental Design for Causal Graph Discovery
Huining Hu, Zhentao Li, Adrian R Vetta
Exploiting easy data in online optimization
Amir Sani, Gergely Neu, Alessandro Lazaric
Sensory Integration and Density Estimation
Joseph G Makin, Philip N. Sabes
Computing Nash Equilibria in Generalized Interdependent Security Games
Hau Chan, Luis E. Ortiz
Restricted Boltzmann machines modeling human choice
Takayuki Osogami, Makoto Otsuka
Expectation-Maximization for Learning Determinantal Point Processes
Jennifer A Gillenwater, Alex Kulesza, Emily B. Fox et al.
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
Jonathan J Tompson, Arjun Jain, Yann LeCun et al.
Bayesian Inference for Structured Spike and Slab Priors
Michael R Andersen, Ole Winther, Lars K. Hansen
Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning
Xiaoxiao Guo, Satinder Singh, Honglak Lee et al.
Analog Memories in a Balanced Rate-Based Network of E-I Neurons
Dylan Festa, Guillaume Hennequin, Mate Lengyel
Orbit Regularization
Renato Negrinho, Andre Martins
Learning with Pseudo-Ensembles
Philip Bachman, Ouais Alsharif, Doina Precup
General Stochastic Networks for Classification
Matthias Zöhrer, Franz Pernkopf
The Large Margin Mechanism for Differentially Private Maximization
Kamalika Chaudhuri, Daniel J. Hsu, Shuang Song
Algorithm selection by rational metareasoning as a model of human strategy selection
Falk Lieder, Dillon Plunkett, Jessica B Hamrick et al.
Information-based learning by agents in unbounded state spaces
Shariq A Mobin, James A Arnemann, Fritz Sommer
Self-Paced Learning with Diversity
Lu Jiang, Deyu Meng, Shoou-I Yu et al.