p7cs.DB

cs.DB

44 papers

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Hongyu Ren, Jure Leskovec

2010.11465

TensorLog: A Differentiable Deductive Database

William W. Cohen

1605.06523

Interactive Privacy via the Median Mechanism

Aaron Roth, Tim Roughgarden

0911.1813

Universally Utility-Maximizing Privacy Mechanisms

Arpita Ghosh, Tim Roughgarden, Mukund Sundararajan

0811.2841

Modeling Relational Data with Graph Convolutional Networks

Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling

1703.06103

On the `Semantics' of Differential Privacy: A Bayesian Formulation

Shiva Prasad Kasiviswanathan, Adam Smith

0803.3946

An Adaptive Mechanism for Accurate Query Answering under Differential Privacy

Chao Li, Gerome Miklau

1202.3807

Differential Privacy via Wavelet Transforms

Xiaokui Xiao, Guozhang Wang, Johannes Gehrke

0909.5530

Measuring Fairness in Ranked Outputs

Ke Yang, Julia Stoyanovich

1610.08559

Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy

Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao

1212.2309

Probabilistic Databases with MarkoViews

Abhay Jha, Dan Suciu

1208.0079

Improving Text-to-SQL Evaluation Methodology

Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir Radev

1806.09029

Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS

Feng Niu, Christopher Ré, AnHai Doan, Jude Shavlik

1104.3216

What Can We Learn Privately?

Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim, Sofya Raskhodnikova, Adam Smith

0803.0924

Optimizing Histogram Queries under Differential Privacy

Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, Andrew McGregor

0912.4742

Billion-scale similarity search with GPUs

Jeff Johnson, Matthijs Douze, Hervé Jégou

1702.08734

Distributed GraphLab: A Framework for Machine Learning in the Cloud

Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

1204.6078

Datasheets for Datasets

Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé, Kate Crawford

1803.09010

DimmWitted: A Study of Main-Memory Statistical Analytics

Ce Zhang, Christopher Ré

1403.7550

Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources

Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang

1502.03519

The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards

Sarah Holland, Ahmed Hosny, Sarah Newman, Joshua Joseph, Kasia Chmielinski

1805.03677

Composition Attacks and Auxiliary Information in Data Privacy

Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanathan, Adam Smith

0803.0032

Privacy in Search Logs

Michaela Goetz, Ashwin Machanavajjhala, Guozhang Wang, Xiaokui Xiao, Johannes Gehrke

0904.0682

Differentially Private Spatial Decompositions

Graham Cormode, Magda Procopiuc, Entong Shen, Divesh Srivastava, Ting Yu

1103.5170

From Data Fusion to Knowledge Fusion

Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang

1503.00302

SoK: Privacy-Preserving Data Synthesis

Yuzheng Hu, Fan Wu, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

2307.02106

Fairness Testing: Testing Software for Discrimination

Sainyam Galhotra, Yuriy Brun, Alexandra Meliou

1709.03221

Differentially Private Empirical Risk Minimization

Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate

0912.0071

Polysemous codes

Matthijs Douze, Hervé Jégou, Florent Perronnin

1609.01882

Can Foundation Models Wrangle Your Data?

Avanika Narayan, Ines Chami, Laurel Orr, Simran Arora, Christopher Ré

2205.09911

User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams

Alexander L. Hayes, Mayukh Das, Phillip Odom, Sriraam Natarajan

1912.07650

Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing

Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li

2301.07507

Fusing Data with Correlations

Ravali Pochampally, Anish Das Sarma, Xin Luna Dong, Alexandra Meliou, Divesh Srivastava

1503.00306

Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning

Benjamin I. P. Rubinstein, Peter L. Bartlett, Ling Huang, Nina Taft

0911.5708

PMLB v1.0: An open source dataset collection for benchmarking machine learning methods

Joseph D. Romano, Trang T. Le, William La Cava, John T. Gregg, Daniel J. Goldberg, Natasha L. Ray, Praneel Chakraborty, Daniel Himmelstein, Weixuan Fu, Jason H. Moore

2012.00058

Differentially Private SQL with Bounded User Contribution

Royce J Wilson, Celia Yuxin Zhang, William Lam, Damien Desfontaines, Daniel Simmons-Marengo, Bryant Gipson

1909.01917

IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles

Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti, Yi Mao, Oleksandr Polozov, Weizhu Chen

1809.05054

DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction

Mohammadreza Pourreza, Davood Rafiei

2304.11015

Fairness in Ranking: A Survey

Meike Zehlike, Ke Yang, Julia Stoyanovich

2103.14000

Text2SQL is Not Enough: Unifying AI and Databases with TAG

Asim Biswal, Liana Patel, Siddarth Jha, Amog Kamsetty, Shu Liu, Joseph E. Gonzalez, Carlos Guestrin, Matei Zaharia

2408.14717

Designing Fair Ranking Schemes

Abolfazl Asudeh, H. V. Jagadish, Julia Stoyanovich, Gautam Das

1712.09752

Towards a Unified Architecture for in-RDBMS Analytics

Xixuan Feng, Arun Kumar, Ben Recht, Christopher Ré

1203.2574

Scalable Probabilistic Databases with Factor Graphs and MCMC

Michael Wick, Andrew McCallum, Gerome Miklau

1005.1934

Traversing Knowledge Graphs in Vector Space

Kelvin Guu, John Miller, Percy Liang

1506.01094