Papers
Select-and-Sample for Spike-and-Slab Sparse Coding
Abdul-Saboor Sheikh, Jörg Lücke
Selective inference for group-sparse linear models
Fan Yang, Rina Foygel Barber, Prateek Jain et al.
Semiparametric Differential Graph Models
Pan Xu, Quanquan Gu
Sequential Neural Models with Stochastic Layers
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet et al.
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products
Sanghamitra Dutta, Viveck Cadambe, Pulkit Grover
Showing versus doing: Teaching by demonstration
Mark K Ho, Michael Littman, James MacGlashan et al.
Simple and Efficient Weighted Minwise Hashing
Anshumali Shrivastava
Single-Image Depth Perception in the Wild
Weifeng Chen, Zhao Fu, Dawei Yang et al.
Single Pass PCA of Matrix Products
Shanshan Wu, Srinadh Bhojanapalli, Sujay Sanghavi et al.
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
Yexiang Xue, Zhiyuan Li, Stefano Ermon et al.
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow
Gang Wang, Georgios Giannakis
Sorting out typicality with the inverse moment matrix SOS polynomial
Edouard Pauwels, Jean B Lasserre
SoundNet: Learning Sound Representations from Unlabeled Video
Yusuf Aytar, Carl Vondrick, Antonio Torralba
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
Dehua Cheng, Richard Peng, Yan Liu et al.
Sparse Support Recovery with Non-smooth Loss Functions
Kévin Degraux, Gabriel Peyré, Jalal Fadili et al.
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments
Ransalu Senanayake, Lionel Ott, Simon O'Callaghan et al.
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer, Axel Pinz, Richard Wildes
Spectral Learning of Dynamic Systems from Nonequilibrium Data
Hao Wu, Frank Noe
Split LBI: An Iterative Regularization Path with Structural Sparsity
Chendi Huang, Xinwei Sun, Jiechao Xiong et al.
Statistical Inference for Cluster Trees
Jisu KIM, Yen-Chi Chen, Sivaraman Balakrishnan et al.
Statistical Inference for Pairwise Graphical Models Using Score Matching
Ming Yu, Mladen Kolar, Varun Gupta
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu, Dilin Wang
Stochastic Gradient Geodesic MCMC Methods
Chang Liu, Jun Zhu, Yang Song
Stochastic Gradient MCMC with Stale Gradients
Changyou Chen, Nan Ding, Chunyuan Li et al.
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences
Hongseok Namkoong, John C. Duchi