ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data

Songshan Yang, Jiawei Wen, Xiang Zhan +1

Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network

Xiao Yang, Ersin Yumer, Paul Asente +3

TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade

Dafang He, Xiao Yang, Daniel Kifer +1

Revisiting Differentially Private Hypothesis Tests for Categorical Data

Yue Wang, Jaewoo Lee, Daniel Kifer

LightDP: Towards Automating Differential Privacy Proofs

Danfeng Zhang, Daniel Kifer

Large Scale Scene Text Verification with Guided Attention

Dafang He, Yeqing Li, Alexander Gorban +5

A Framework for Extracting Semantic Guarantees from Privacy

Bing-Rong Lin, Daniel Kifer

Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget

Jaewoo Lee, Daniel Kifer

Detecting Outliers in Data with Correlated Measures

Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer

Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization

Alexander G. Ororbia, C. Lee Giles, Daniel Kifer

Worst-Case Background Knowledge for Privacy-Preserving Data Publishing

David J. Martin, Daniel Kifer, Ashwin Machanavajjhala +2

Predicting Demographics of High-Resolution Geographies with Geotagged Tweets

Omar Montasser, Daniel Kifer

Postprocessing for Iterative Differentially Private Algorithms

Jaewoo Lee, Daniel Kifer

Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching

Xiao Yang, Madian Khabsa, Miaosen Wang +4

Differentially Private Confidence Intervals for Empirical Risk Minimization

Yue Wang, Daniel Kifer, Jaewoo Lee

Proving Differential Privacy with Shadow Execution

Yuxin Wang, Zeyu Ding, Guanhong Wang +2

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations

Alexander Ororbia, Ankur Mali, C. Lee Giles +1

The paper introduces the Parallel Temporal Neural Coding Network (P‑TNCN) and a Local Representation Alignment learning rule that train recurrent networks without back‑propagation…

Differentially Private Hierarchical Count-of-Counts Histograms

Yu-Hsuan Kuo, Cho-Chun Chiu, Daniel Kifer +2

Conducting Credit Assignment by Aligning Local Representations

Alexander G. Ororbia, Ankur Mali, Daniel Kifer +1

Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network

Kuai Fang, Chaopeng Shen, Daniel Kifer +1

A New Class of Private Chi-Square Tests

Daniel Kifer, Ryan Rogers