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2020 – today
- 2024
- [j11]Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty:
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. ACM Trans. Inf. Syst. 42(2): 42:1-42:43 (2024) - [i24]Harsha Vardhan Simhadri, Martin Aumüller, Amir Ingber, Matthijs Douze, George Williams, Magdalen Dobson Manohar, Dmitry Baranchuk, Edo Liberty, Frank Liu, Benjamin Landrum, Mazin Karjikar, Laxman Dhulipala, Meng Chen, Yue Chen, Rui Ma, Kai Zhang, Yuzheng Cai, Jiayang Shi, Yizhuo Chen, Weiguo Zheng, Zihao Wan, Jie Yin, Ben Huang:
Results of the Big ANN: NeurIPS'23 competition. CoRR abs/2409.17424 (2024) - 2023
- [j10]Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý:
Relative Error Streaming Quantiles. J. ACM 70(5): 30:1-30:48 (2023) - [i23]Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty:
An Approximate Algorithm for Maximum Inner Product Search over Streaming Sparse Vectors. CoRR abs/2301.10622 (2023) - [i22]Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty:
Bridging Dense and Sparse Maximum Inner Product Search. CoRR abs/2309.09013 (2023) - 2022
- [j9]Nikita Ivkin, Edo Liberty, Kevin J. Lang, Zohar S. Karnin, Vladimir Braverman:
Streaming Quantiles Algorithms with Small Space and Update Time. Sensors 22(24): 9612 (2022) - [j8]Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý:
Relative Error Streaming Quantiles. SIGMOD Rec. 51(1): 69-76 (2022) - [i21]Edo Liberty:
Even Simpler Deterministic Matrix Sketching. CoRR abs/2202.01780 (2022) - 2021
- [c29]Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý:
Relative Error Streaming Quantiles. PODS 2021: 96-108 - [i20]Aditya Krishnan, Edo Liberty:
Projective Clustering Product Quantization. CoRR abs/2112.02179 (2021) - 2020
- [c28]Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou, Xiquan Cui, Edo Liberty, Khalifeh Al Jadda:
From the lab to production: A case study of session-based recommendations in the home-improvement domain. RecSys 2020: 140-149 - [c27]Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola:
Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference 2020: 731-737 - [i19]Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý:
Relative Error Streaming Quantiles. CoRR abs/2004.01668 (2020)
2010 – 2019
- 2019
- [c26]Zohar S. Karnin, Edo Liberty:
Discrepancy, Coresets, and Sketches in Machine Learning. COLT 2019: 1975-1993 - [c25]Yu Bai, Yu-Xiang Wang, Edo Liberty:
ProxQuant: Quantized Neural Networks via Proximal Operators. ICLR (Poster) 2019 - [i18]Zohar S. Karnin, Edo Liberty:
Discrepancy, Coresets, and Sketches in Machine Learning. CoRR abs/1906.04845 (2019) - [i17]Nick Ryder, Zohar S. Karnin, Edo Liberty:
Asymmetric Random Projections. CoRR abs/1906.09489 (2019) - [i16]Nikita Ivkin, Edo Liberty, Kevin J. Lang, Zohar S. Karnin, Vladimir Braverman:
Streaming Quantiles Algorithms with Small Space and Update Time. CoRR abs/1907.00236 (2019) - 2018
- [i15]Yu Bai, Yu-Xiang Wang, Edo Liberty:
ProxQuant: Quantized Neural Networks via Proximal Operators. CoRR abs/1810.00861 (2018) - 2017
- [c24]Edo Liberty, Maxim Sviridenko:
Greedy Minimization of Weakly Supermodular Set Functions. APPROX-RANDOM 2017: 19:1-19:11 - [c23]Daniel Anderson, Pryce Bevan, Kevin J. Lang, Edo Liberty, Lee Rhodes, Justin Thaler:
A high-performance algorithm for identifying frequent items in data streams. Internet Measurement Conference 2017: 268-282 - [i14]Daniel Anderson, Pryce Bevan, Kevin J. Lang, Edo Liberty, Lee Rhodes, Justin Thaler:
A High-Performance Algorithm for Identifying Frequent Items in Data Streams. CoRR abs/1705.07001 (2017) - 2016
- [j7]Mina Ghashami, Edo Liberty, Jeff M. Phillips, David P. Woodruff:
Frequent Directions: Simple and Deterministic Matrix Sketching. SIAM J. Comput. 45(5): 1762-1792 (2016) - [c22]Edo Liberty, Ram Sriharsha, Maxim Sviridenko:
An Algorithm for Online K-Means Clustering. ALENEX 2016: 81-89 - [c21]Zohar S. Karnin, Kevin J. Lang, Edo Liberty:
Optimal Quantile Approximation in Streams. FOCS 2016: 71-78 - [c20]Edo Liberty, Kevin J. Lang, Konstantin Shmakov:
Stratified Sampling Meets Machine Learning. ICML 2016: 2320-2329 - [c19]Mina Ghashami, Edo Liberty, Jeff M. Phillips:
Efficient Frequent Directions Algorithm for Sparse Matrices. KDD 2016: 845-854 - [c18]Edo Liberty, Michael Mitzenmacher, Justin Thaler, Jonathan R. Ullman:
Space Lower Bounds for Itemset Frequency Sketches. PODS 2016: 441-454 - [i13]Mina Ghashami, Edo Liberty, Jeff M. Phillips:
Efficient Frequent Directions Algorithm for Sparse Matrices. CoRR abs/1602.00412 (2016) - [i12]Zohar S. Karnin, Kevin J. Lang, Edo Liberty:
Almost Optimal Streaming Quantiles Algorithms. CoRR abs/1603.05346 (2016) - [i11]Edo Liberty:
A Short Proof for Gap Independence of Simultaneous Iteration. CoRR abs/1605.05610 (2016) - 2015
- [c17]Zohar Shay Karnin, Edo Liberty:
Online with Spectral Bounds. COLT 2015: 1129-1140 - [c16]Christos Boutsidis, Dan Garber, Zohar Shay Karnin, Edo Liberty:
Online Principal Components Analysis. SODA 2015: 887-901 - [i10]Mina Ghashami, Edo Liberty, Jeff M. Phillips, David P. Woodruff:
Frequent Directions : Simple and Deterministic Matrix Sketching. CoRR abs/1501.01711 (2015) - [i9]Christos Boutsidis, Edo Liberty, Maxim Sviridenko:
Greedy Minimization of Weakly Supermodular Set Functions. CoRR abs/1502.06528 (2015) - 2014
- [j6]Liran Katzir, Edo Liberty, Oren Somekh, Ioana A. Cosma:
Estimating Sizes of Social Networks via Biased Sampling. Internet Math. 10(3-4): 335-359 (2014) - [c15]Francesco Bonchi, David García-Soriano, Edo Liberty:
Correlation clustering: from theory to practice. KDD 2014: 1972 - [i8]Edo Liberty, Michael Mitzenmacher, Justin Thaler:
Space Lower Bounds for Itemset Frequency Sketches. CoRR abs/1407.3740 (2014) - [i7]Edo Liberty, Ram Sriharsha, Maxim Sviridenko:
An Algorithm for Online K-Means Clustering. CoRR abs/1412.5721 (2014) - 2013
- [j5]Nir Ailon, Edo Liberty:
An Almost Optimal Unrestricted Fast Johnson-Lindenstrauss Transform. ACM Trans. Algorithms 9(3): 21:1-21:12 (2013) - [c14]Edo Liberty:
Simple and deterministic matrix sketching. KDD 2013: 581-588 - [c13]Dimitris Achlioptas, Zohar Shay Karnin, Edo Liberty:
Near-Optimal Entrywise Sampling for Data Matrices. NIPS 2013: 1565-1573 - [c12]Nir Ailon, Zohar Shay Karnin, Edo Liberty, Yoelle Maarek:
Threading machine generated email. WSDM 2013: 405-414 - [i6]Dimitris Achlioptas, Zohar Shay Karnin, Edo Liberty:
Near-Optimal Entrywise Sampling for Data Matrices. CoRR abs/1311.4643 (2013) - 2012
- [j4]Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty, Anke van Zuylen:
Improved Approximation Algorithms for Bipartite Correlation Clustering. SIAM J. Comput. 41(5): 1110-1121 (2012) - [c11]Zohar Shay Karnin, Edo Liberty, Shachar Lovett, Roy Schwartz, Omri Weinstein:
Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem. COLT 2012: 2.1-2.17 - [c10]Liran Katzir, Edo Liberty, Oren Somekh:
Framework and algorithms for network bucket testing. WWW 2012: 1029-1036 - [i5]Edo Liberty:
Simple and Deterministic Matrix Sketching. CoRR abs/1206.0594 (2012) - 2011
- [j3]Edo Liberty, Nir Ailon, Amit Singer:
Dense Fast Random Projections and Lean Walsh Transforms. Discret. Comput. Geom. 45(1): 34-44 (2011) - [c9]Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty, Anke van Zuylen:
Improved Approximation Algorithms for Bipartite Correlation Clustering. ESA 2011: 25-36 - [c8]Yehuda Koren, Edo Liberty, Yoelle Maarek, Roman Sandler:
Automatically tagging email by leveraging other users' folders. KDD 2011: 913-921 - [c7]Nir Ailon, Edo Liberty:
An Almost Optimal Unrestricted Fast Johnson-Lindenstrauss Transform. SODA 2011: 185-191 - [c6]Gal Lavee, Ronny Lempel, Edo Liberty, Oren Somekh:
Inverted index compression via online document routing. WWW 2011: 487-496 - [c5]Liran Katzir, Edo Liberty, Oren Somekh:
Estimating sizes of social networks via biased sampling. WWW 2011: 597-606 - [i4]Edo Liberty, Shachar Lovett, Omri Weinstein:
On the Furthest Hyperplane Problem and Maximal Margin Clustering. CoRR abs/1107.1358 (2011) - 2010
- [c4]Minh Tam Le, John Sweeney, Edo Liberty, Steven W. Zucker:
Similarity kernels via bi-clustering for conventional intergovernmental organizations. ISI 2010: 218-220 - [i3]Nir Ailon, Edo Liberty:
Almost Optimal Unrestricted Fast Johnson-Lindenstrauss Transform. CoRR abs/1005.5513 (2010) - [i2]Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty:
An Improved Algorithm for Bipartite Correlation Clustering. CoRR abs/1012.3011 (2010)
2000 – 2009
- 2009
- [j2]Nir Ailon, Edo Liberty:
Fast Dimension Reduction Using Rademacher Series on Dual BCH Codes. Discret. Comput. Geom. 42(4): 615-630 (2009) - [j1]Edo Liberty, Steven W. Zucker:
The Mailman algorithm: A note on matrix-vector multiplication. Inf. Process. Lett. 109(3): 179-182 (2009) - [c3]Nir Ailon, Edo Liberty:
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems. ICALP (1) 2009: 24-36 - 2008
- [c2]Edo Liberty, Nir Ailon, Amit Singer:
Dense Fast Random Projections and Lean Walsh Transforms. APPROX-RANDOM 2008: 512-522 - [c1]Nir Ailon, Edo Liberty:
Fast dimension reduction using Rademacher series on dual BCH codes. SODA 2008: 1-9 - 2007
- [i1]Nir Ailon, Edo Liberty:
Fast Dimension Reduction Using Rademacher Series on Dual BCH Codes. Electron. Colloquium Comput. Complex. TR07 (2007)
Coauthor Index
aka: Zohar Shay Karnin
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last updated on 2024-10-23 20:33 CEST by the dblp team
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