Lee-Ad Gottlieb

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 42

Top Topics

Traveling Salesman

Nearest Neighbor

Support Vector Machine

Top Venues

IEEE Trans. Inf. Theory

Theor. Comput. Sci.

Publications

Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer
Labelings vs. Embeddings: On Distributed and Prioritized Representations of Distances. Discret. Comput. Geom. 71 (3) (2024)
Eran Kaufman, Lee-Ad Gottlieb
Using Deepfake Technologies for Word Emphasis Detection. CoRR (2023)
Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss
Weighted Distance Nearest Neighbor Condensing. CoRR (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) (2023)
Eran Kaufman, Lee-Ad Gottlieb, Dina Mayzlish, Or Tiram, Hila Wiesel, Nofar Yosef
Using Deepfake Technologies for Word Emphasis Detection. PACLIC (2023)
Lee-Ad Gottlieb, Aryeh Kontorovich
Non-uniform packings. Inf. Process. Lett. 174 (2022)
Lee-Ad Gottlieb, Robert Krauthgamer, Havana Rika
-TSP. Theor. Comput. Sci. 914 (2022)
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch
Learning Convex Polyhedra With Margin. IEEE Trans. Inf. Theory 68 (3) (2022)
Benjamin Azaria, Lee-Ad Gottlieb
Predicting Subscriber Usage: Analyzing Multidimensional Time-Series Using Convolutional Neural Networks. CSCML (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) (2022)
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele
Nested Barycentric Coordinate System as an Explicit Feature Map. AISTATS (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 (2021)
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich
Apportioned margin approach for cost sensitive large margin classifiers. Ann. Math. Artif. Intell. 89 (12) (2021)
Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich
Functions with average smoothness: structure, algorithms, and learning. COLT (2021)
Yair Bartal, Lee-Ad Gottlieb
Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces. STOC (2021)
Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich
Functions with average smoothness: structure, algorithms, and learning. CoRR (2020)
Lee-Ad Gottlieb, Robert Krauthgamer, Havana Rika
Faster Algorithms for Orienteering and k-TSP. CoRR (2020)
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers. CoRR (2020)
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele
Nested Barycentric Coordinate System as an Explicit Feature Map. CoRR (2020)
Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer
Labelings vs. Embeddings: On Distributed Representations of Distances. SODA (2020)
Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer
Labelings vs. Embeddings: On Distributed Representations of Distances. CoRR (2019)
Lee-Ad Gottlieb, Shira Ozeri
Classification in asymmetric spaces via sample compression. CoRR (2019)
Yair Bartal, Lee-Ad Gottlieb
-spaces (2<p<∞). Theor. Comput. Sci. 757 (2019)
Lee-Ad Gottlieb, Yair Bartal
Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces. CoRR (2019)
Yair Bartal, Lee-Ad Gottlieb
Approximate Nearest Neighbor Search for \ell _p -Spaces (2 via Embeddings. LATIN (2018)
Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
Near-Optimal Sample Compression for Nearest Neighbors. IEEE Trans. Inf. Theory 64 (6) (2018)
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch
Learning convex polytopes with margin. CoRR (2018)
Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch
Learning convex polytopes with margin. NeurIPS (2018)
Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension. IEEE Trans. Inf. Theory 63 (8) (2017)
Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
Nearly optimal classification for semimetrics. J. Mach. Learn. Res. 18 (2017)
Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
Nearly Optimal Classification for Semimetrics. AISTATS (2016)
Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
Adaptive metric dimensionality reduction. Theor. Comput. Sci. 620 (2016)
Lee-Ad Gottlieb, Tyler Neylon
Matrix Sparsification and the Sparse Null Space Problem. Algorithmica 76 (2) (2016)
Yair Bartal, Lee-Ad Gottlieb, Robert Krauthgamer
The Traveling Salesman Problem: Low-Dimensionality Implies a Polynomial Time Approximation Scheme. SIAM J. Comput. 45 (4) (2016)
Boaz Ben-Moshe, Michael Elkin, Lee-Ad Gottlieb, Eran Omri
Optimizing budget allocation for center and median points. Theor. Comput. Sci. 627 (2016)
Yair Bartal, Lee-Ad Gottlieb
(1<p<2), with Applications. SoCG (2016)
Lee-Ad Gottlieb, Robert Krauthgamer
A Nonlinear Approach to Dimension Reduction. Discret. Comput. Geom. 54 (2) (2015)
Yair Bartal, Lee-Ad Gottlieb, Ofer Neiman
. SIAM J. Discret. Math. 29 (3) (2015)
Lee-Ad Gottlieb
A Light Metric Spanner. FOCS (2015)
Yair Bartal, Lee-Ad Gottlieb
-spaces (2 < p < ∞) via embeddings. CoRR (2015)
Lee-Ad Gottlieb, Aryeh Kontorovich
Nearly optimal classification for semimetrics. CoRR (2015)
Lee-Ad Gottlieb
A light metric spanner. CoRR (2015)
Lee-Ad Gottlieb, Shay Solomon
Light spanners for Snowflake Metrics. SoCG (2014)
Boaz Ben-Moshe, Michael Elkin, Lee-Ad Gottlieb, Eran Omri
Optimizing Budget Allocation in Graphs. CoRR (2014)
Lee-Ad Gottlieb, Aryeh Kontorovich
Near-optimal sample compression for nearest neighbors. CoRR (2014)
Yair Bartal, Lee-Ad Gottlieb
, 1 ≤ p < ∞, with applications. CoRR (2014)
Yair Bartal, Lee-Ad Gottlieb, Ofer Neiman
On the Impossibility of Dimension Reduction for Doubling Subsets of ℓp. SoCG (2014)
Lee-Ad Gottlieb, Shay Solomon
Light spanners for snowflake metrics. CoRR (2014)
Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
Efficient Classification for Metric Data. IEEE Trans. Inf. Theory 60 (9) (2014)
Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
Near-optimal sample compression for nearest neighbors. NIPS (2014)
Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension. SIMBAD (2013)
Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
Adaptive Metric Dimensionality Reduction CoRR (2013)
Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
Efficient Classification for Metric Data. CoRR (2013)
Lee-Ad Gottlieb, Robert Krauthgamer
Proximity Algorithms for Nearly Doubling Spaces. SIAM J. Discret. Math. 27 (4) (2013)
Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
Adaptive Metric Dimensionality Reduction. ALT (2013)
Yair Bartal, Lee-Ad Gottlieb, Ofer Neiman
, p>2. CoRR (2013)
Yair Bartal, Lee-Ad Gottlieb
A Linear Time Approximation Scheme for Euclidean TSP. FOCS (2013)
Yair Bartal, Lee-Ad Gottlieb, Robert Krauthgamer
The traveling salesman problem: low-dimensionality implies a polynomial time approximation scheme. STOC (2012)
Lee-Ad Gottlieb, Aryeh Kontorovich, Elchanan Mossel
VC bounds on the cardinality of nearly orthogonal function classes. Discret. Math. 312 (10) (2012)
Lee-Ad Gottlieb, Robert Krauthgamer
A Nonlinear Approach to Dimension Reduction. SODA (2011)
Yair Bartal, Lee-Ad Gottlieb, Tsvi Kopelowitz, Moshe Lewenstein, Liam Roditty
Fast, precise and dynamic distance queries. SODA (2011)
Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension CoRR (2011)
Yair Bartal, Lee-Ad Gottlieb, Robert Krauthgamer
The Traveling Salesman Problem: Low-Dimensionality Implies a Polynomial Time Approximation Scheme CoRR (2011)
Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauthgamer
Efficient Classification for Metric Data. COLT (2010)
Lee-Ad Gottlieb, Tyler Neylon
Matrix Sparsification and the Sparse Null Space Problem. APPROX-RANDOM (2010)
Lee-Ad Gottlieb, Robert Krauthgamer
Proximity Algorithms for Nearly-Doubling Spaces. APPROX-RANDOM (2010)
Yair Bartal, Lee-Ad Gottlieb, Tsvi Kopelowitz, Moshe Lewenstein, Liam Roditty
Fast, precise and dynamic distance queries CoRR (2010)
Lee-Ad Gottlieb, Tyler Neylon
Matrix sparsification and the sparse null space problem CoRR (2010)
Lee-Ad Gottlieb, Robert Krauthgamer
A Nonlinear Approach to Dimension Reduction CoRR (2009)
Lee-Ad Gottlieb, Liam Roditty
An Optimal Dynamic Spanner for Doubling Metric Spaces. ESA (2008)
Lee-Ad Gottlieb, Liam Roditty
Improved algorithms for fully dynamic geometric spanners and geometric routing. SODA (2008)
Richard Cole, Lee-Ad Gottlieb
Searching dynamic point sets in spaces with bounded doubling dimension. STOC (2006)
Lee-Ad Gottlieb, John E. Savage, Arkady Yerukhimovich
Efficient Data Storage in Large Nanoarrays. Theory Comput. Syst. 38 (4) (2005)
Richard Cole, Lee-Ad Gottlieb, Moshe Lewenstein
Dictionary matching and indexing with errors and don't cares. STOC (2004)
Sigal Gottlieb, Lee-Ad Gottlieb
Strong Stability Preserving Properties of Runge-Kutta Time Discretization Methods for Linear Constant Coefficient Operators. J. Sci. Comput. 18 (1) (2003)