Papers
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou, Pan Xu, Quanquan Gu
Stochastic Nonparametric Event-Tensor Decomposition
Shandian Zhe, Yishuai Du
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
Conghui Tan, Tong Zhang, Shiqian Ma et al.
Stochastic Spectral and Conjugate Descent Methods
Dmitry Kovalev, Peter Richtarik, Eduard Gorbunov et al.
Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features
Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov et al.
Streamlining Variational Inference for Constraint Satisfaction Problems
Aditya Grover, Tudor Achim, Stefano Ermon
Structural Causal Bandits: Where to Intervene?
Sanghack Lee, Elias Bareinboim
Structure-Aware Convolutional Neural Networks
Jianlong Chang, Jie Gu, Lingfeng Wang et al.
Structured Local Minima in Sparse Blind Deconvolution
Yuqian Zhang, Han-wen Kuo, John Wright
Sublinear Time Low-Rank Approximation of Distance Matrices
Ainesh Bakshi, David Woodruff
Submodular Field Grammars: Representation, Inference, and Application to Image Parsing
Abram L. Friesen, Pedro M Domingos
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
Wenruo Bai, William Stafford Noble, Jeff A. Bilmes
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
Lei Le, Andrew Patterson, Martha White
Supervising Unsupervised Learning
Vikas Garg, Adam T Kalai
Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds
Raghav Somani, Chirag Gupta, Prateek Jain et al.
Symbolic Graph Reasoning Meets Convolutions
Xiaodan Liang, Zhiting Hu, Hao Zhang et al.
Synaptic Strength For Convolutional Neural Network
CHEN LIN, Zhao Zhong, Wu Wei et al.
Synthesized Policies for Transfer and Adaptation across Tasks and Environments
Hexiang Hu, Liyu Chen, Boqing Gong et al.
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris Oreshkin, Pau Rodríguez López, Alexandre Lacoste
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
Bart van Merrienboer, Dan Moldovan, Alexander Wiltschko
Task-Driven Convolutional Recurrent Models of the Visual System
Aran Nayebi, Daniel Bear, Jonas Kubilius et al.
Teaching Inverse Reinforcement Learners via Features and Demonstrations
Luis Haug, Sebastian Tschiatschek, Adish Singla
Temporal alignment and latent Gaussian process factor inference in population spike trains
Lea Duncker, Maneesh Sahani
Temporal Regularization for Markov Decision Process
Pierre Thodoroff, Audrey Durand, Joelle Pineau et al.
Testing for Families of Distributions via the Fourier Transform
Clément L Canonne, Ilias Diakonikolas, Alistair Stewart