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Publication search results
found 138 matches
- 2024
- Elena Grigorescu, Nithish Kumar, Young-San Lin:
Directed Buy-at-Bulk Spanners. CoRR abs/2404.05172 (2024) - Elena Grigorescu, Young-San Lin, Maoyuan Song:
A Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives. CoRR abs/2406.03574 (2024) - 2023
- Rima H. Binsaeed, Adriana Grigorescu
, Zahid Yousaf
, Elena Condrea
, Abdelmohsen A. Nassani
:
Leading Role of Big Data Analytic Capability in Innovation Performance: Role of Organizational Readiness and Digital Orientation. Syst. 11(6): 284 (2023) - Alina Elena Ionascu
, Gabriela Gheorghiu, Elena Cerasela Spatariu, Irena Munteanu, Adriana Grigorescu
, Alexandra Danila
:
Unraveling Digital Transformation in Banking: Evidence from Romania. Syst. 11(11): 534 (2023) - Bhaskar DasGupta, Elena Grigorescu, Tamalika Mukherjee:
On computing discretized Ricci curvatures of graphs: Local algorithms and (localized) fine-grained reductions. Theor. Comput. Sci. 975: 114127 (2023) - Jeremiah Blocki
, Elena Grigorescu, Tamalika Mukherjee, Samson Zhou:
How to Make Your Approximation Algorithm Private: A Black-Box Differentially-Private Transformation for Tunable Approximation Algorithms of Functions with Low Sensitivity. APPROX/RANDOM 2023: 59:1-59:24 - Elena Grigorescu, Nithish Kumar, Young-San Lin:
Approximation Algorithms for Directed Weighted Spanners. APPROX/RANDOM 2023: 8:1-8:23 - Alexander R. Block
, Jeremiah Blocki
, Kuan Cheng, Elena Grigorescu, Xin Li, Yu Zheng, Minshen Zhu:
On Relaxed Locally Decodable Codes for Hamming and Insertion-Deletion Errors. CCC 2023: 14:1-14:25 - Elena Grigorescu, Nithish Kumar, Young-San Lin:
Approximation Algorithms for Directed Weighted Spanners. CoRR abs/2307.02774 (2023) - Kuan Cheng, Elena Grigorescu, Xin Li, Madhu Sudan, Minshen Zhu:
On k-Mer-Based and Maximum Likelihood Estimation Algorithms for Trace Reconstruction. CoRR abs/2308.14993 (2023) - 2022
- Elena Grigorescu, Madhu Sudan
, Minshen Zhu
:
Limitations of Mean-Based Algorithms for Trace Reconstruction at Small Edit Distance. IEEE Trans. Inf. Theory 68(10): 6790-6801 (2022) - Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
Hardness of Maximum Likelihood Learning of DPPs. COLT 2022: 3800-3819 - Jeremiah Blocki
, Elena Grigorescu, Tamalika Mukherjee:
Privately Estimating Graph Parameters in Sublinear Time. ICALP 2022: 26:1-26:19 - Elena Grigorescu, Young-San Lin, Sandeep Silwal, Maoyuan Song, Samson Zhou:
Learning-Augmented Algorithms for Online Linear and Semidefinite Programming. NeurIPS 2022 - Jeremiah Blocki, Elena Grigorescu, Tamalika Mukherjee:
Privately Estimating Graph Parameters in Sublinear time. CoRR abs/2202.05776 (2022) - Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
Hardness of Maximum Likelihood Learning of DPPs. CoRR abs/2205.12377 (2022) - Bhaskar DasGupta, Elena Grigorescu, Tamalika Mukherjee:
On computing Ollivier-Ricci curvatures of graphs: fine-grained reductions and local algorithms. CoRR abs/2208.09535 (2022) - Alexander R. Block, Jeremiah Blocki
, Kuan Cheng, Elena Grigorescu, Xin Li, Yu Zheng, Minshen Zhu:
On Relaxed Locally Decodable Codes for Hamming and Insertion-Deletion Errors. CoRR abs/2209.08688 (2022) - Elena Grigorescu, Young-San Lin, Sandeep Silwal, Maoyuan Song, Samson Zhou:
Learning-Augmented Algorithms for Online Linear and Semidefinite Programming. CoRR abs/2209.10614 (2022) - Jeremiah Blocki
, Elena Grigorescu, Tamalika Mukherjee, Samson Zhou:
How to Make Your Approximation Algorithm Private: A Black-Box Differentially-Private Transformation for Tunable Approximation Algorithms of Functions with Low Sensitivity. CoRR abs/2210.03831 (2022) - Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
Hardness of Maximum Likelihood Learning of DPPs. Electron. Colloquium Comput. Complex. TR22 (2022) - 2021
- Karthekeyan Chandrasekaran
, Elena Grigorescu
, Gabriel Istrate
, Shubhang Kulkarni
, Young-San Lin
, Minshen Zhu
:
The Maximum Binary Tree Problem. Algorithmica 83(8): 2427-2468 (2021) - Jeremiah Blocki
, Venkata Gandikota
, Elena Grigorescu
, Samson Zhou
:
Relaxed Locally Correctable Codes in Computationally Bounded Channels. IEEE Trans. Inf. Theory 67(7): 4338-4360 (2021) - Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie:
List Learning with Attribute Noise. AISTATS 2021: 2215-2223 - Elena Grigorescu, Young-San Lin, Kent Quanrud:
Online Directed Spanners and Steiner Forests. APPROX-RANDOM 2021: 5:1-5:25 - Jeremiah Blocki
, Kuan Cheng, Elena Grigorescu, Xin Li, Yu Zheng, Minshen Zhu:
Exponential Lower Bounds for Locally Decodable and Correctable Codes for Insertions and Deletions. FOCS 2021: 739-750 - Jeremiah Blocki
, Elena Grigorescu, Tamalika Mukherjee:
Differentially-Private Sublinear-Time Clustering. ISIT 2021: 332-337 - Elena Grigorescu, Madhu Sudan, Minshen Zhu:
Limitations of Mean-Based Algorithms for Trace Reconstruction at Small Distance. ISIT 2021: 2531-2536 - Elena Grigorescu, Young-San Lin, Kent Quanrud:
Online Directed Spanners and Steiner Forests. CoRR abs/2103.04543 (2021) - Karthekeyan Chandrasekaran, Elena Grigorescu, Gabriel Istrate, Shubhang Kulkarni, Young-San Lin, Minshen Zhu:
Fixed-Parameter Algorithms for Longest Heapable Subsequence and Maximum Binary Tree. CoRR abs/2110.00495 (2021)
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