Gradient Perturbation is Underrated for Differentially Private Convex Optimization
Comments International Joint Conference on Artificial Intelligence (IJCAI) 2020; 7 pages, 2 figures, and 4 tables
期刊&会议
International Joint Conference on Artificial Intelligence · 会议 · Artificial Intelligence
Comments International Joint Conference on Artificial Intelligence (IJCAI) 2020; 7 pages, 2 figures, and 4 tables
Comments Full version of a paper accepted at IJCAI'19
Comments 7 pages; Accepted by IJCAI-2017
Journal ref IJCAI-2017
Comments 22 pages. A part of these results is accepted at the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018. The proof of Lemma 5 in the earlier version had a bug. To address the issue and in lieu of general matroids, the current version provides a proof of this result specialized for Laminar matroids
Comments 7 pages, 8 figures
Journal ref 24th IJCAI,2015,1756-1762
Journal ref Artificial Intelligence. IJCAI 2019 International Workshops. IJCAI 2019. Lecture Notes in Computer Science, vol 12158. Springer, Cham
Comments Published at IJCAI 2020 (at https://www.ijcai.org/Proceedings/2020/61 ); the conference version has a minor error in the proof of Theorem 3, which is fixed here
Comments Accepted to The First Workshop on Financial Technology and Natural Language Processing (FinNLP@IJCAI-19)
Comments 21 pages, 10 figures, 3 tables (accepted as an oral presentation at the Learning Transferable Skills workshop, NeurIPS 2019)
Journal ref International Joint Conference on Artificial Intelligence. 29 (2020) 2655-2661
Comments 7 pages, 4 tables, 2 figures, IJCAI 2020
Comments Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-2019). https://doi.org/10.24963/ijcai.2019/462
Journal ref the 29th International Joint Conference on Artificial Intelligence(IJCAI 2020)
Comments Accepted Paper in the 29th International Joint Conference on Artificial Intelligence (IJCAI 20), Survey Track
Journal ref IJCAI 2020: 4981-4987
Comments IJCAI 2016 Workshop on Deep Reinforcement Learning: Frontiers and Challenges; 6 pages, 8 figures
Journal ref Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020, Yokohama, Japan
Comments Appears in the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019
Journal ref Theoretical Computer Science, 841:110-123 (2020)
Comments 2 Figures, 1 Table, 8 pages
Journal ref IJCAI-20 Workshop on Explainable AI (XAI), September 2020
Comments accepted by IJCAI 2019
Comments Appears in the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI), 2018
Journal ref Social Choice and Welfare, 55(3):523-545 (2020)
Comments 5 pages, 6 figures, Accepted for International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI 2019 (FL-IJCAI'2019)
Comments Accepted by IJCAI'20. One-sentence summary: A general-purpose NMT model that's supposed to deal with any-length text, e.g., an entire document or a single sentence
Journal ref International Joint Conference on Artificial Intelligence, 2018 (IJCAI-18)
Comments Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Main track. Pages 268-275
Comments This work is based on the short paper titled "A quantitative analysis of multi-winner rules" that appeared in the proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019)
Journal ref Artificial Intelligence, Volume 288, November 2020, 103366
Comments accepted to FL-IJCAI'20 workshop
Comments Accepted by IJCAI 2020
Comments To appear in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020)
Comments Accepted at IJCAI 2020 Main Track. Sole copyright holder is IJCAI. Codes are available at https://github.com/Kali-Hac/SGE-LA
Journal ref In IJCAI, pages 898-905, 2020
Comments This is published at IJCAI 2020
Comments IJCAI 2020