Lee-Ad Gottlieb

83 papers A* 19A 3B 2C 1Journal 51Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants. AAAI Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb, Alon Hovav
2025	J	`jnl`	Improved fixed-parameter bounds for Min-Sum-Radii and Diameters CoRR Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb, Alon Hovav
2024	J	`jnl`	Functions with average smoothness: structure, algorithms, and learning. J. Mach. Learn. Res. Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich
2024	—	`conf`	KNN+X. CSCML Daniel Gilkarov, Lee-Ad Gottlieb, Hillel Ohayon
2024	J	`jnl`	Labelings vs. Embeddings: On Distributed and Prioritized Representations of Distances. Discret. Comput. Geom. Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer
2024	J	`jnl`	Nested barycentric coordinate system as an explicit feature map for polyhedra approximation and learning tasks. Mach. Learn. Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele
2024	A*	`conf`	Novel Properties of Hierarchical Probabilistic Partitions and Their Algorithmic Applications. FOCS Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb, Alon Hovav
2024	A*	`conf`	Weighted distance nearest neighbor condensing. ICML Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss
2023	J	`jnl`	Predicting Eastern Mediterranean Flash Floods Using Support Vector Machines with Precipitable Water Vapor, Pressure, and Lightning Data. Remote. Sens. Saed Asaly, Lee-Ad Gottlieb, Yoav Yair, Colin Price, Yuval Reuveni
2023	C	`conf`	Using Deepfake Technologies for Word Emphasis Detection. PACLIC Eran Kaufman, Lee-Ad Gottlieb, Dina Mayzlish, Or Tiram, Hila Wiesel, Nofar Yosef
2023	J	`jnl`	Using Deepfake Technologies for Word Emphasis Detection. CoRR Eran Kaufman, Lee-Ad Gottlieb
2023	J	`jnl`	Weighted Distance Nearest Neighbor Condensing. CoRR Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss
2022	J	`jnl`	Faster algorithms for orienteering and Theor. Comput. Sci. Lee-Ad Gottlieb, Robert Krauthgamer, Havana Rika
2022	J	`jnl`	Learning Convex Polyhedra With Margin. IEEE Trans. Inf. Theory Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch
2022	J	`jnl`	Non-uniform packings. Inf. Process. Lett. Lee-Ad Gottlieb, Aryeh Kontorovich
2022	—	`conf`	Predicting Subscriber Usage: Analyzing Multidimensional Time-Series Using Convolutional Neural Networks. CSCML Benjamin Azaria, Lee-Ad Gottlieb
2022	J	`jnl`	Using Support Vector Machine (SVM) with GPS Ionospheric TEC Estimations to Potentially Predict Earthquake Events. Remote. Sens. Saed Asaly, Lee-Ad Gottlieb, Nimrod Inbar, Yuval Reuveni
2021	J	`jnl`	Apportioned margin approach for cost sensitive large margin classifiers. Ann. Math. Artif. Intell. Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich
2021	A*	`conf`	Functions with average smoothness: structure, algorithms, and learning. COLT Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich
2021	A*	`conf`	Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces. STOC Yair Bartal, Lee-Ad Gottlieb
2021	A	`conf`	Nested Barycentric Coordinate System as an Explicit Feature Map. AISTATS Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele
2021	J	`jnl`	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. Saed Asaly, Lee-Ad Gottlieb, Yuval Reuveni
2020	J	`jnl`	Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers. CoRR Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich
2020	J	`jnl`	Faster Algorithms for Orienteering and k-TSP. CoRR Lee-Ad Gottlieb, Robert Krauthgamer, Havana Rika
2020	J	`jnl`	Functions with average smoothness: structure, algorithms, and learning. CoRR Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich
2020	A*	`conf`	Labelings vs. Embeddings: On Distributed Representations of Distances. SODA Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer
2020	J	`jnl`	Nested Barycentric Coordinate System as an Explicit Feature Map. CoRR Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch, Ofir Pele
2019	J	`jnl`	Approximate nearest neighbor search for Theor. Comput. Sci. Yair Bartal, Lee-Ad Gottlieb
2019	J	`jnl`	Classification in asymmetric spaces via sample compression. CoRR Lee-Ad Gottlieb, Shira Ozeri
2019	J	`jnl`	Labelings vs. Embeddings: On Distributed Representations of Distances. CoRR Arnold Filtser, Lee-Ad Gottlieb, Robert Krauthgamer
2019	J	`jnl`	Near-linear time approximation schemes for Steiner tree and forest in low-dimensional spaces. CoRR Lee-Ad Gottlieb, Yair Bartal
2018	B	`conf`	Approximate Nearest Neighbor Search for \ell _p -Spaces (2 via Embeddings. LATIN Yair Bartal, Lee-Ad Gottlieb
2018	A*	`conf`	Learning convex polytopes with margin. NeurIPS Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch
2018	J	`jnl`	Learning convex polytopes with margin. CoRR Lee-Ad Gottlieb, Eran Kaufman, Aryeh Kontorovich, Gabriel Nivasch
2018	J	`jnl`	Near-Optimal Sample Compression for Nearest Neighbors. IEEE Trans. Inf. Theory Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
2017	J	`jnl`	Efficient Regression in Metric Spaces via Approximate Lipschitz Extension. IEEE Trans. Inf. Theory Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
2017	J	`jnl`	Nearly optimal classification for semimetrics. J. Mach. Learn. Res. Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
2016	J	`jnl`	Adaptive metric dimensionality reduction. Theor. Comput. Sci. Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
2016	A*	`conf`	Dimension Reduction Techniques for ℓ SoCG Yair Bartal, Lee-Ad Gottlieb
2016	J	`jnl`	Matrix Sparsification and the Sparse Null Space Problem. Algorithmica Lee-Ad Gottlieb, Tyler Neylon
2016	A	`conf`	Nearly Optimal Classification for Semimetrics. AISTATS Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
2016	J	`jnl`	Optimizing budget allocation for center and median points. Theor. Comput. Sci. Boaz Ben-Moshe, Michael Elkin, Lee-Ad Gottlieb, Eran Omri
2016	J	`jnl`	The Traveling Salesman Problem: Low-Dimensionality Implies a Polynomial Time Approximation Scheme. SIAM J. Comput. Yair Bartal, Lee-Ad Gottlieb, Robert Krauthgamer
2015	A*	`conf`	A Light Metric Spanner. FOCS Lee-Ad Gottlieb
2015	J	`jnl`	A Nonlinear Approach to Dimension Reduction. Discret. Comput. Geom. Lee-Ad Gottlieb, Robert Krauthgamer
2015	J	`jnl`	A light metric spanner. CoRR Lee-Ad Gottlieb
2015	J	`jnl`	Approximate nearest neighbor search for ℓ CoRR Yair Bartal, Lee-Ad Gottlieb
2015	J	`jnl`	Nearly optimal classification for semimetrics. CoRR Lee-Ad Gottlieb, Aryeh Kontorovich
2015	J	`jnl`	On the Impossibility of Dimension Reduction for Doubling Subsets of ℓ SIAM J. Discret. Math. Yair Bartal, Lee-Ad Gottlieb, Ofer Neiman
2014	J	`jnl`	Dimension reduction techniques for ℓ CoRR Yair Bartal, Lee-Ad Gottlieb
2014	J	`jnl`	Efficient Classification for Metric Data. IEEE Trans. Inf. Theory Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
2014	A*	`conf`	Light spanners for Snowflake Metrics. SoCG Lee-Ad Gottlieb, Shay Solomon
2014	J	`jnl`	Light spanners for snowflake metrics. CoRR Lee-Ad Gottlieb, Shay Solomon
2014	—	`conf`	Near-optimal sample compression for nearest neighbors. NIPS Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
2014	J	`jnl`	Near-optimal sample compression for nearest neighbors. CoRR Lee-Ad Gottlieb, Aryeh Kontorovich
2014	A*	`conf`	On the Impossibility of Dimension Reduction for Doubling Subsets of ℓp. SoCG Yair Bartal, Lee-Ad Gottlieb, Ofer Neiman
2014	J	`jnl`	Optimizing Budget Allocation in Graphs. CoRR Boaz Ben-Moshe, Michael Elkin, Lee-Ad Gottlieb, Eran Omri
2013	A*	`conf`	A Linear Time Approximation Scheme for Euclidean TSP. FOCS Yair Bartal, Lee-Ad Gottlieb
2013	J	`jnl`	Adaptive Metric Dimensionality Reduction CoRR Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
2013	B	`conf`	Adaptive Metric Dimensionality Reduction. ALT Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
2013	J	`jnl`	Efficient Classification for Metric Data. CoRR Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
2013	—	`conf`	Efficient Regression in Metric Spaces via Approximate Lipschitz Extension. SIMBAD Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
2013	J	`jnl`	On the Impossibility of Dimension Reduction for Doubling Subsets of ℓ CoRR Yair Bartal, Lee-Ad Gottlieb, Ofer Neiman
2013	J	`jnl`	Proximity Algorithms for Nearly Doubling Spaces. SIAM J. Discret. Math. Lee-Ad Gottlieb, Robert Krauthgamer
2012	A*	`conf`	The traveling salesman problem: low-dimensionality implies a polynomial time approximation scheme. STOC Yair Bartal, Lee-Ad Gottlieb, Robert Krauthgamer
2012	J	`jnl`	VC bounds on the cardinality of nearly orthogonal function classes. Discret. Math. Lee-Ad Gottlieb, Aryeh Kontorovich, Elchanan Mossel
2011	A*	`conf`	A Nonlinear Approach to Dimension Reduction. SODA Lee-Ad Gottlieb, Robert Krauthgamer
2011	J	`jnl`	Efficient Regression in Metric Spaces via Approximate Lipschitz Extension CoRR Lee-Ad Gottlieb, Aryeh Kontorovich, Robert Krauthgamer
2011	A*	`conf`	Fast, precise and dynamic distance queries. SODA Yair Bartal, Lee-Ad Gottlieb, Tsvi Kopelowitz, Moshe Lewenstein, Liam Roditty
2011	J	`jnl`	The Traveling Salesman Problem: Low-Dimensionality Implies a Polynomial Time Approximation Scheme CoRR Yair Bartal, Lee-Ad Gottlieb, Robert Krauthgamer
2010	A*	`conf`	Efficient Classification for Metric Data. COLT Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauthgamer
2010	J	`jnl`	Fast, precise and dynamic distance queries CoRR Yair Bartal, Lee-Ad Gottlieb, Tsvi Kopelowitz, Moshe Lewenstein, Liam Roditty
2010	—	`conf`	Matrix Sparsification and the Sparse Null Space Problem. APPROX-RANDOM Lee-Ad Gottlieb, Tyler Neylon
2010	J	`jnl`	Matrix sparsification and the sparse null space problem CoRR Lee-Ad Gottlieb, Tyler Neylon
2010	—	`conf`	Proximity Algorithms for Nearly-Doubling Spaces. APPROX-RANDOM Lee-Ad Gottlieb, Robert Krauthgamer
2009	J	`jnl`	A Nonlinear Approach to Dimension Reduction CoRR Lee-Ad Gottlieb, Robert Krauthgamer
2009	—	`—`	Proximity problems for point sets residing in spaces with low doubling dimension. Lee-Ad Gottlieb
2008	A	`conf`	An Optimal Dynamic Spanner for Doubling Metric Spaces. ESA Lee-Ad Gottlieb, Liam Roditty
2008	A*	`conf`	Improved algorithms for fully dynamic geometric spanners and geometric routing. SODA Lee-Ad Gottlieb, Liam Roditty
2006	A*	`conf`	Searching dynamic point sets in spaces with bounded doubling dimension. STOC Richard Cole, Lee-Ad Gottlieb
2005	J	`jnl`	Efficient Data Storage in Large Nanoarrays. Theory Comput. Syst. Lee-Ad Gottlieb, John E. Savage, Arkady Yerukhimovich
2004	A*	`conf`	Dictionary matching and indexing with errors and don't cares. STOC Richard Cole, Lee-Ad Gottlieb, Moshe Lewenstein
2003	J	`jnl`	Strong Stability Preserving Properties of Runge-Kutta Time Discretization Methods for Linear Constant Coefficient Operators. J. Sci. Comput. Sigal Gottlieb, Lee-Ad Gottlieb