Papers
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure
Alberto Bietti, Julien Mairal
Stochastic Submodular Maximization: The Case of Coverage Functions
Mohammad Karimi, Mario Lucic, Hamed Hassani et al.
Straggler Mitigation in Distributed Optimization Through Data Encoding
Can Karakus, Yifan Sun, Suhas Diggavi et al.
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard et al.
Streaming Sparse Gaussian Process Approximations
Thang D Bui, Cuong Nguyen, Richard E Turner
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
Ethan Elenberg, Alexandros G Dimakis, Moran Feldman et al.
Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha et al.
Structured Embedding Models for Grouped Data
Maja Rudolph, Francisco Ruiz, Susan Athey et al.
Structured Generative Adversarial Networks
Zhijie Deng, Hao Zhang, Xiaodan Liang et al.
Style Transfer from Non-Parallel Text by Cross-Alignment
Tianxiao Shen, Tao Lei, Regina Barzilay et al.
Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
Noga Alon, Moshe Babaioff, Yannai A. Gonczarowski et al.
Subset Selection and Summarization in Sequential Data
Ehsan Elhamifar, M. Clara De Paolis Kaluza
Subset Selection under Noise
Chao Qian, Jing-Cheng Shi, Yang Yu et al.
Subspace Clustering via Tangent Cones
Amin Jalali, Rebecca Willett
Successor Features for Transfer in Reinforcement Learning
Andre Barreto, Will Dabney, Remi Munos et al.
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
Maithra Raghu, Justin Gilmer, Jason Yosinski et al.
SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks
Kyuhong Shim, Minjae Lee, Iksoo Choi et al.
Targeting EEG/LFP Synchrony with Neural Nets
Yitong Li, michael Murias, samantha Major et al.
Task-based End-to-end Model Learning in Stochastic Optimization
Priya Donti, Brandon Amos, J. Zico Kolter
Teaching Machines to Describe Images with Natural Language Feedback
huan ling, Sanja Fidler
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks
Prateep Bhattacharjee, Sukhendu Das
Tensor Biclustering
Soheil Feizi, Hamid Javadi, David Tse
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
Wei Wen, Cong Xu, Feng Yan et al.
Testing and Learning on Distributions with Symmetric Noise Invariance
Ho Chung Law, Christopher Yau, Dino Sejdinovic
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu, Hongming Pu, Feicheng Wang et al.