Covington, C., He, X., Honaker, J., & Kamath, G. (2021). Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy ArXiv, abs/2110.14465. Retrieved from https://arxiv.org/abs/2110.14465
References
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2021
Mitra, A., Gorenflo, C., Golab, L., & Keshav, S. (2021). TimeFabric: Trusted Time for Permissioned Blockchains Presented at the TimeFabric: Trusted Time for Permissioned Blockchains conference. https://doi.org/10.4230/OASIcs.FAB.2021.4
Sheshbolouki, A., & Ozsu, T. (2021). Scale-Invariant Strength Assortativity of Streaming Butterflies ArXiv, abs/2111.12217. Retrieved from https://arxiv.org/abs/2111.12217
Tang, R., Kumar, K., Chalkley, K., Xin, J., Zhang, L., Li, W., … Lin, J. (2021). Voice Query Auto Completion Presented at the Voice Query Auto Completion conference. Retrieved from https://aclanthology.org/2021.emnlp-main.68
Shi, P., Zhang, R., Bai, H., & Lin, J. (2021). Cross-Lingual Training With Dense Retrieval for Document Retrieval ArXiv, abs/2109.01628. Retrieved from https://arxiv.org/abs/2109.01628
Zhong, W., Zhang, X., Xin, J., Zanibbi, R., & Lin, J. (2021). Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens Presented at the Approach Zero and Anserini at the CLEF-2021 ARQMath Track: Applying Substructure Search and BM25 on Operator Tree Path Tokens conference. Retrieved from http://ceur-ws.org/Vol-2936/paper-09.pdf
Sheshbolouki, A., & Ozsu, T. (2021). Scale-Invariant Strength Assortativity of Streaming Butterflies ArXiv, abs/2111.12217. Retrieved from https://arxiv.org/abs/2111.12217
Lin, S.-C., & Lin, J. (2021). Densifying Sparse Representations for Passage Retrieval by Representational Slicing ArXiv, abs/2112.04666. Retrieved from https://arxiv.org/abs/2112.04666
Abualsaud, M., Ghajar, K., Minh, L. N. P., Zhang, D., Chen, I. X., Smucker, M., & Tahami, A. V. (2021). UWaterlooMDS at the TREC 2021 Health Misinformation Track Presented at the UWaterlooMDS at the TREC 2021 Health Misinformation Track conference. Retrieved from https://trec.nist.gov/pubs/trec30/papers/UwaterlooMDS-HM.pdf
Brown, D. G., Byl, L., & Grossman, M. (2021). Are Machine Learning Corpora "Fair Dealing" Under Canadian Law? Presented at the Are Machine Learning Corpora "Fair Dealing" Under Canadian Law? conference. Retrieved from https://computationalcreativity.net/iccc21/wp-content/uploads/2021/09/ICCC_2021_paper_68.pdf