papers
Publications (10)
stat.ME2018
Post-Selection Inference for Changepoint Detection Algorithms with Application to Copy Number Variation Data
Sangwon Hyun, Kevin Lin, Max G'Sell +1
cs.CY2019
Subgoals, Problem Solving Phases, and Sources of Knowledge: A Complex Mangle
Kevin Lin, David DeLiema
cs.DB2019
DeepBase: Deep Inspection of Neural Networks
Thibault Sellam, Kevin Lin, Ian Yiran Huang +4
cs.CL2018
Adversarial Ranking for Language Generation
Kevin Lin, Dianqi Li, Xiaodong He +2
cs.CV2017
Supervised Learning of Semantics-Preserving Hash via Deep Convolutional Neural Networks
Huei-Fang Yang, Kevin Lin, Chu-Song Chen
math.PR2019
Can the Stochastic Wave Equation with Strong Drift Hit Zero?
Kevin Lin, Carl Mueller
stat.ME2016
Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates
Kevin Lin, James Sharpnack, Alessandro Rinaldo +1
cs.CV2018
Adversarial Learning for Fine-grained Image Search
Kevin Lin, Fan Yang, Qiaosong Wang +1
cs.CL2019
Grammar-based Neural Text-to-SQL Generation
Kevin Lin, Ben Bogin, Mark Neumann +2
stat.ML2013
Optimization for Compressed Sensing: the Simplex Method and Kronecker Sparsification
Robert Vanderbei, Han Liu, Lie Wang +1