Papers
Distributed Multitask Reinforcement Learning with Quadratic Convergence
Rasul Tutunov, Dongho Kim, Haitham Bou Ammar
Distributed Stochastic Optimization via Adaptive SGD
Ashok Cutkosky, Róbert Busa-Fekete
Distributed Weight Consolidation: A Brain Segmentation Case Study
Patrick McClure, Charles Y Zheng, Jakub Kaczmarzyk et al.
Distributionally Robust Graphical Models
Rizal Fathony, Ashkan Rezaei, Mohammad Ali Bashiri et al.
Diverse Ensemble Evolution: Curriculum Data-Model Marriage
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
Zhang-Wei Hong, Tzu-Yun Shann, Shih-Yang Su et al.
Does mitigating ML's impact disparity require treatment disparity?
Zachary Lipton, Julian McAuley, Alexandra Chouldechova
Do Less, Get More: Streaming Submodular Maximization with Subsampling
Moran Feldman, Amin Karbasi, Ehsan Kazemi
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
Sara Magliacane, Thijs van Ommen, Tom Claassen et al.
Domain-Invariant Projection Learning for Zero-Shot Recognition
An Zhao, Mingyu Ding, Jiechao Guan et al.
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $\beta$-Divergences
Jeremias Knoblauch, Jack E Jewson, Theodoros Damoulas
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V Le
DropMax: Adaptive Variational Softmax
Hae Beom Lee, Juho Lee, Saehoon Kim et al.
Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization
Zhihui Zhu, Xiao Li, Kai Liu et al.
Dual Policy Iteration
Wen Sun, Geoffrey J. Gordon, Byron Boots et al.
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms
Zhihui Zhu, Yifan Wang, Daniel Robinson et al.
Dual Swap Disentangling
Zunlei Feng, Xinchao Wang, Chenglong Ke et al.
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Arash Vahdat, Evgeny Andriyash, William Macready
Dynamic Network Model from Partial Observations
Elahe Ghalebi, Baharan Mirzasoleiman, Radu Grosu et al.
Early Stopping for Nonparametric Testing
Meimei Liu, Guang Cheng
Efficient Anomaly Detection via Matrix Sketching
Vatsal Sharan, Parikshit Gopalan, Udi Wieder
Efficient Convex Completion of Coupled Tensors using Coupled Nuclear Norms
Kishan Wimalawarne, Hiroshi Mamitsuka
Efficient Formal Safety Analysis of Neural Networks
Shiqi Wang, Kexin Pei, Justin Whitehouse et al.
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses
Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri et al.