Papers
Asynchronous Coordinate Descent under More Realistic Assumptions
Tao Sun, Robert Hannah, Wotao Yin
Bridging the Gap Between Value and Policy Based Reinforcement Learning
Ofir Nachum, Mohammad Norouzi, Kelvin Xu et al.
Cold-Start Reinforcement Learning with Softmax Policy Gradient
Nan Ding, Radu Soricut
Filtering Variational Objectives
Chris J Maddison, John Lawson, George Tucker et al.
Parametric Simplex Method for Sparse Learning
Haotian Pang, Han Liu, Robert J Vanderbei et al.
Language Modeling with Recurrent Highway Hypernetworks
Joseph Suarez
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan N Gomez, Mengye Ren, Raquel Urtasun et al.
Variational Inference for Gaussian Process Models with Linear Complexity
Ching-An Cheng, Byron Boots
Gradient Episodic Memory for Continual Learning
David Lopez-Paz, Marc'Aurelio Ranzato
Universal consistency and minimax rates for online Mondrian Forests
Jaouad Mourtada, Stéphane Gaïffas, Erwan Scornet
Model-based Bayesian inference of neural activity and connectivity from all-optical interrogation of a neural circuit
Laurence Aitchison, Lloyd Russell, Adam M Packer et al.
Dual Path Networks
Yunpeng Chen, Jianan Li, Huaxin Xiao et al.
Gradient Descent Can Take Exponential Time to Escape Saddle Points
Simon S Du, Chi Jin, Jason Lee et al.
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
Xiangru Lian, Ce Zhang, Huan Zhang et al.
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun et al.
Generative Local Metric Learning for Kernel Regression
Yung-Kyun Noh, Masashi Sugiyama, Kee-Eung Kim et al.
Multimodal Learning and Reasoning for Visual Question Answering
Ilija Ilievski, Jiashi Feng
Alternating Estimation for Structured High-Dimensional Multi-Response Models
Sheng Chen, Arindam Banerjee
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus, Mateo Rojas Carulla, Giambattista Parascandolo et al.
Convergence rates of a partition based Bayesian multivariate density estimation method
Linxi Liu, Dangna Li, Wing Hung Wong
Protein Interface Prediction using Graph Convolutional Networks
Alex Fout, Jonathon Byrd, Basir Shariat et al.
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent
Peva Blanchard, El Mahdi El Mhamdi, Rachid Guerraoui et al.
Wasserstein Learning of Deep Generative Point Process Models
Shuai Xiao, Mehrdad Farajtabar, Xiaojing Ye et al.
On the Consistency of Quick Shift
Heinrich Jiang
Shape and Material from Sound
Zhoutong Zhang, Qiujia Li, Zhengjia Huang et al.