Papers
Discriminative State Space Models
Vitaly Kuznetsov, Mehryar Mohri
Modulating early visual processing by language
Harm de Vries, Florian Strub, Jeremie Mary et al.
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
Mainak Jas, Tom Dupré la Tour, Umut Simsekli et al.
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran, Rajesh Ranganath, David Blei
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds
Yuanyuan Liu, Fanhua Shang, James Cheng et al.
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
Label Distribution Learning Forests
Wei Shen, KAI ZHAO, Yilu Guo et al.
Sparse Approximate Conic Hulls
Greg Van Buskirk, Benjamin Raichel, Nicholas Ruozzi
Max-Margin Invariant Features from Transformed Unlabelled Data
Dipan Pal, Ashwin Kannan, Gautam Arakalgud et al.
MaskRNN: Instance Level Video Object Segmentation
Yuan-Ting Hu, Jia-Bin Huang, Alexander Schwing
Learning with Average Top-k Loss
Yanbo Fan, Siwei Lyu, Yiming Ying et al.
Deanonymization in the Bitcoin P2P Network
Giulia Fanti, Pramod Viswanath
Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner, Alexander Irpan, James Davidson et al.
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li et al.
Masked Autoregressive Flow for Density Estimation
George Papamakarios, Theo Pavlakou, Iain Murray
Stochastic and Adversarial Online Learning without Hyperparameters
Ashok Cutkosky, Kwabena A. Boahen
Convolutional Phase Retrieval
Qing Qu, Yuqian Zhang, Yonina Eldar et al.
Learning Overcomplete HMMs
Vatsal Sharan, Sham M. Kakade, Percy Liang et al.
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
Ahmed M. Alaa, Mihaela van der Schaar
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
Ziming Zhang, Matthew Brand
Is Input Sparsity Time Possible for Kernel Low-Rank Approximation?
Cameron Musco, David Woodruff
Bayesian Compression for Deep Learning
Christos Louizos, Karen Ullrich, Max Welling
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning
Liangpeng Zhang, Ke Tang, Xin Yao
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe, YI WU, Aviv Tamar et al.
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen, Harri Valpola