Papers
Online Learning with a Hint
Ofer Dekel, arthur flajolet, Nika Haghtalab et al.
Maximum Margin Interval Trees
Alexandre Drouin, Toby Hocking, Francois Laviolette
Multi-View Decision Processes: The Helper-AI Problem
Christos Dimitrakakis, David C. Parkes, Goran Radanovic et al.
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
Taylor W Killian, Samuel Daulton, George Konidaris et al.
Few-Shot Adversarial Domain Adaptation
Saeid Motiian, Quinn Jones, Seyed Iranmanesh et al.
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh, Tackgeun You, Jonghwan Mun et al.
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
Arya Mazumdar, Soumyabrata Pal
Learned in Translation: Contextualized Word Vectors
Bryan McCann, James Bradbury, Caiming Xiong et al.
Uprooting and Rerooting Higher-Order Graphical Models
Mark Rowland, Adrian Weller
Process-constrained batch Bayesian optimisation
Pratibha Vellanki, Santu Rana, Sunil Gupta et al.
Dynamic Importance Sampling for Anytime Bounds of the Partition Function
Qi Lou, Rina Dechter, Alex Ihler
Learning from Complementary Labels
Takashi Ishida, Gang Niu, Weihua Hu et al.
Elementary Symmetric Polynomials for Optimal Experimental Design
Zelda E. Mariet, Suvrit Sra
Best Response Regression
Omer Ben-Porat, Moshe Tennenholtz
Convolutional Gaussian Processes
Mark van der Wilk, Carl Edward Rasmussen, James Hensman
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, Zheng Xu et al.
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu, John Co-Reyes, Sergey Levine
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi
How regularization affects the critical points in linear networks
Amirhossein Taghvaei, Jin W Kim, Prashant Mehta
Variational Laws of Visual Attention for Dynamic Scenes
Dario Zanca, Marco Gori
YASS: Yet Another Spike Sorter
Jin Hyung Lee, David E Carlson, Hooshmand Shokri Razaghi et al.
Differentiable Learning of Submodular Models
Josip Djolonga, Andreas Krause
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang, Yihe Tang, Jian Wang et al.
Polynomial time algorithms for dual volume sampling
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Collaborative PAC Learning
Avrim Blum, Nika Haghtalab, Ariel D Procaccia et al.