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Publication search results
found 81 matches
- 2024
- Arnold Filtser
, Lee-Ad Gottlieb, Robert Krauthgamer:
Labelings vs. Embeddings: On Distributed and Prioritized Representations of Distances. Discret. Comput. Geom. 71(3): 849-871 (2024) - Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich:
Functions with average smoothness: structure, algorithms, and learning. J. Mach. Learn. Res. 25: 117:1-117:54 (2024) - Lee-Ad Gottlieb
, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele:
Nested barycentric coordinate system as an explicit feature map for polyhedra approximation and learning tasks. Mach. Learn. 113(10): 7807-7840 (2024) - Daniel Gilkarov, Lee-Ad Gottlieb, Hillel Ohayon:
KNN+X. CSCML 2024: 299-309 - Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb, Alon Hovav:
Novel Properties of Hierarchical Probabilistic Partitions and Their Algorithmic Applications. FOCS 2024: 1724-1767 - Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss:
Weighted distance nearest neighbor condensing. ICML 2024 - 2023
- Saed Asaly
, Lee-Ad Gottlieb
, Yoav Yair
, Colin Price
, Yuval Reuveni
:
Predicting Eastern Mediterranean Flash Floods Using Support Vector Machines with Precipitable Water Vapor, Pressure, and Lightning Data. Remote. Sens. 15(11): 2916 (2023) - Eran Kaufman, Lee-Ad Gottlieb, Dina Mayzlish, Or Tiram, Hila Wiesel, Nofar Yosef:
Using Deepfake Technologies for Word Emphasis Detection. PACLIC 2023: 717-722 - Eran Kaufman, Lee-Ad Gottlieb:
Using Deepfake Technologies for Word Emphasis Detection. CoRR abs/2305.07791 (2023) - Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss:
Weighted Distance Nearest Neighbor Condensing. CoRR abs/2310.15951 (2023) - 2022
- Lee-Ad Gottlieb, Aryeh Kontorovich:
Non-uniform packings. Inf. Process. Lett. 174: 106179 (2022) - Saed Asaly
, Lee-Ad Gottlieb, Nimrod Inbar, Yuval Reuveni
:
Using Support Vector Machine (SVM) with GPS Ionospheric TEC Estimations to Potentially Predict Earthquake Events. Remote. Sens. 14(12): 2822 (2022) - Lee-Ad Gottlieb, Robert Krauthgamer, Havana Rika
:
Faster algorithms for orienteering and k-TSP. Theor. Comput. Sci. 914: 73-83 (2022) - Lee-Ad Gottlieb
, Eran Kaufman
, Aryeh Kontorovich
, Gabriel Nivasch
:
Learning Convex Polyhedra With Margin. IEEE Trans. Inf. Theory 68(3): 1976-1984 (2022) - Benjamin Azaria, Lee-Ad Gottlieb:
Predicting Subscriber Usage: Analyzing Multidimensional Time-Series Using Convolutional Neural Networks. CSCML 2022: 259-269 - 2021
- Lee-Ad Gottlieb
, Eran Kaufman, Aryeh Kontorovich:
Apportioned margin approach for cost sensitive large margin classifiers. Ann. Math. Artif. Intell. 89(12): 1215-1235 (2021) - Saed Asaly
, Lee-Ad Gottlieb, Yuval Reuveni
:
Using Support Vector Machine (SVM) and Ionospheric Total Electron Content (TEC) Data for Solar Flare Predictions. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1469-1481 (2021) - Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele:
Nested Barycentric Coordinate System as an Explicit Feature Map. AISTATS 2021: 766-774 - Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich:
Functions with average smoothness: structure, algorithms, and learning. COLT 2021: 186-236 - Yair Bartal, Lee-Ad Gottlieb:
Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces. STOC 2021: 1028-1041 - 2020
- Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer:
Labelings vs. Embeddings: On Distributed Representations of Distances. SODA 2020: 1063-1075 - Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich:
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers. CoRR abs/2002.01408 (2020) - Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele:
Nested Barycentric Coordinate System as an Explicit Feature Map. CoRR abs/2002.01999 (2020) - Lee-Ad Gottlieb, Robert Krauthgamer, Havana Rika:
Faster Algorithms for Orienteering and k-TSP. CoRR abs/2002.07727 (2020) - Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich:
Functions with average smoothness: structure, algorithms, and learning. CoRR abs/2007.06283 (2020) - 2019
- Yair Bartal, Lee-Ad Gottlieb
:
Approximate nearest neighbor search for ℓp-spaces (2<p<∞). Theor. Comput. Sci. 757: 27-35 (2019) - Lee-Ad Gottlieb, Yair Bartal:
Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces. CoRR abs/1904.03611 (2019) - Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer:
Labelings vs. Embeddings: On Distributed Representations of Distances. CoRR abs/1907.06857 (2019) - Lee-Ad Gottlieb, Shira Ozeri:
Classification in asymmetric spaces via sample compression. CoRR abs/1909.09969 (2019) - 2018
- Lee-Ad Gottlieb
, Aryeh Kontorovich
, Pinhas Nisnevitch:
Near-Optimal Sample Compression for Nearest Neighbors. IEEE Trans. Inf. Theory 64(6): 4120-4128 (2018)
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