Papers
Approximation Hardness for A Class of Sparse Optimization Problems
Yichen Chen, Yinyu Ye, Mengdi Wang
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery
Tyler Maunu, Teng Zhang, Gilad Lerman
A New Approach to Laplacian Solvers and Flow Problems
Patrick Rebeschini, Sekhar Tatikonda
Optimal Policies for Observing Time Series and Related Restless Bandit Problems
Christopher R. Dance, Tomi Silander
Matched Bipartite Block Model with Covariates
Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li
The Relationship Between Agnostic Selective Classification, Active Learning and the Disagreement Coefficient
Roei Gelbhart, Ran El-Yaniv
NetSDM: Semantic Data Mining with Network Analysis
Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac
Kernels for Sequentially Ordered Data
Franz J. Kiraly, Harald Oberhauser
Exact Clustering of Weighted Graphs via Semidefinite Programming
Aleksis Pirinen, Brendan Ames
Iterated Learning in Dynamic Social Networks
Bernard Chazelle, Chu Wang
Pyro: Deep Universal Probabilistic Programming
Eli Bingham, Jonathan P. Chen, Martin Jankowiak et al.
Monotone Learning with Rectified Wire Networks
Veit Elser, Dan Schmidt, Jonathan Yedidia
TensorLy: Tensor Learning in Python
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar et al.
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations
Alberto Bietti, Julien Mairal
Joint PLDA for Simultaneous Modeling of Two Factors
Luciana Ferrer, Mitchell McLaren
Determining the Number of Latent Factors in Statistical Multi-Relational Learning
Chengchun Shi, Wenbin Lu, Rui Song
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics
Yanning Shen, Tianyi Chen, Georgios B. Giannakis
Spectrum Estimation from a Few Entries
Ashish Khetan, Sewoong Oh
Accelerated Alternating Projections for Robust Principal Component Analysis
HanQin Cai, Jian-Feng Cai, Ke Wei
spark-crowd: A Spark Package for Learning from Crowdsourced Big Data
Enrique G. Rodrigo, Juan A. Aledo, José A. Gámez
Multiplicative local linear hazard estimation and best one-sided cross-validation
Maria Luz Gámiz, María Dolores Martínez-Miranda, Jens Perch Nielsen
Delay and Cooperation in Nonstochastic Bandits
Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
Smooth neighborhood recommender systems
Ben Dai, Junhui Wang, Xiaotong Shen et al.
Automated Scalable Bayesian Inference via Hilbert Coresets
Trevor Campbell, Tamara Broderick
Approximations of the Restless Bandit Problem
Steffen Grünewälder, Azadeh Khaleghi