Papers
From Parity to Preference-based Notions of Fairness in Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Rodriguez et al.
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni, Marc Deisenroth
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari, Alejandro Ribeiro
Non-convex Finite-Sum Optimization Via SCSG Methods
Lihua Lei, Cheng Ju, Jianbo Chen et al.
Mean Field Residual Networks: On the Edge of Chaos
Ge Yang, Samuel Schoenholz
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C Wilson, Rebecca Roelofs, Mitchell Stern et al.
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak et al.
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx et al.
Safe and Nested Subgame Solving for Imperfect-Information Games
Noam Brown, Tuomas Sandholm
Online control of the false discovery rate with decaying memory
Aaditya Ramdas, Fanny Yang, Martin J. Wainwright et al.
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models
Rishit Sheth, Roni Khardon
PixelGAN Autoencoders
Alireza Makhzani, Brendan J. Frey
Group Sparse Additive Machine
Hong Chen, Xiaoqian Wang, Cheng Deng et al.
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
Cong Fang, Feng Cheng, Zhouchen Lin
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan, J. Zico Kolter
Positive-Unlabeled Learning with Non-Negative Risk Estimator
Ryuichi Kiryo, Gang Niu, Marthinus C du Plessis et al.
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
Christian Borgs, Jennifer Chayes, Christina E. Lee et al.
Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis
Jian Zhao, Lin Xiong, Panasonic Karlekar Jayashree et al.
Training Deep Networks without Learning Rates Through Coin Betting
Francesco Orabona, Tatiana Tommasi
Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin et al.
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
Marco Fraccaro, Simon Kamronn, Ulrich Paquet et al.
Probabilistic Rule Realization and Selection
Haizi Yu, Tianxi Li, Lav R. Varshney
Neural Discrete Representation Learning
Aaron van den Oord, Oriol Vinyals, koray kavukcuoglu
Online Dynamic Programming
Holakou Rahmanian, Manfred K. Warmuth