Papers
A Bayesian method for reducing bias in neural representational similarity analysis
Mingbo Cai, Nicolas W Schuck, Jonathan W Pillow et al.
Improved Error Bounds for Tree Representations of Metric Spaces
Samir Chowdhury, Facundo Mémoli, Zane T Smith
Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices
Kirthevasan Kandasamy, Maruan Al-Shedivat, Eric P Xing
Unifying Count-Based Exploration and Intrinsic Motivation
Marc Bellemare, Sriram Srinivasan, Georg Ostrovski et al.
Sampling for Bayesian Program Learning
Kevin Ellis, Armando Solar-Lezama, Josh Tenenbaum
Long-term Causal Effects via Behavioral Game Theory
Panagiotis Toulis, David C. Parkes
Adversarial Multiclass Classification: A Risk Minimization Perspective
Rizal Fathony, Anqi Liu, Kaiser Asif et al.
Efficient Nonparametric Smoothness Estimation
Shashank Singh, Simon S Du, Barnabas Poczos
Stochastic Gradient MCMC with Stale Gradients
Changyou Chen, Nan Ding, Chunyuan Li et al.
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long, Han Zhu, Jianmin Wang et al.
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely, Roy Frostig, Yoram Singer
VIME: Variational Information Maximizing Exploration
Rein Houthooft, Xi Chen, Xi Chen et al.
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques
Elad Richardson, Rom Herskovitz, Boris Ginsburg et al.
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products
Sanghamitra Dutta, Viveck Cadambe, Pulkit Grover
Learning Sensor Multiplexing Design through Back-propagation
Ayan Chakrabarti
Combinatorial Multi-Armed Bandit with General Reward Functions
Wei Chen, Wei Hu, Fu Li et al.
Statistical Inference for Cluster Trees
Jisu KIM, Yen-Chi Chen, Sivaraman Balakrishnan et al.
Bayesian Optimization with Robust Bayesian Neural Networks
Jost Tobias Springenberg, Aaron Klein, Stefan Falkner et al.
A Bio-inspired Redundant Sensing Architecture
Anh Tuan Nguyen, Jian Xu, Zhi Yang
Learning What and Where to Draw
Scott E Reed, Zeynep Akata, Santosh Mohan et al.
Relevant sparse codes with variational information bottleneck
Matthew Chalk, Olivier Marre, Gasper Tkacik
Optimal Cluster Recovery in the Labeled Stochastic Block Model
Se-Young Yun, Alexandre Proutiere
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats
Pulkit Tandon, Yash H Malviya, Bipin Rajendran
Adaptive Smoothed Online Multi-Task Learning
Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell et al.