Nir Ailon

Affiliations:
  • Technion Israel Institute of Technology, Israel


According to our database1, Nir Ailon authored at least 65 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Timeline

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Bibliography

2022
Efficient NTK using Dimensionality Reduction.
CoRR, 2022

2021
The complexity of computing (almost) orthogonal matrices with <i>ε</i>-copies of the Fourier transform.
Inf. Process. Lett., 2021

Sparse linear networks with a fixed butterfly structure: theory and practice.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Paraunitary matrices, entropy, algebraic condition number and Fourier computation.
Theor. Comput. Sci., 2020

2019
Interesting Open Problem Related to Complexity of Computing the Fourier Transform and Group Theory.
CoRR, 2019

2018
A New and Flexible Approach to the Analysis of Paired Comparison Data.
J. Mach. Learn. Res., 2018

Approximate Correlation Clustering Using Same-Cluster Queries.
Proceedings of the LATIN 2018: Theoretical Informatics, 2018

Approximate Clustering with Same-Cluster Queries.
Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

2017
Semi-supervised deep learning by metric embedding.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
An Omega((n log n)/R) Lower Bound for Fourier Transform Computation in the R-Well Conditioned Model.
ACM Trans. Comput. Theory, 2016

Tight lower bound instances for k-means++ in two dimensions.
Theor. Comput. Sci., 2016

Bandit online optimization over the permutahedron.
Theor. Comput. Sci., 2016

Spatial contrasting for deep unsupervised learning.
CoRR, 2016

Deep unsupervised learning through spatial contrasting.
CoRR, 2016

The Complexity of Computing a Fourier Perturbation.
CoRR, 2016

2015
Iterative and active graph clustering using trace norm minimization without cluster size constraints.
J. Mach. Learn. Res., 2015

Deep metric learning using Triplet network.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Tighter Fourier Transform Lower Bounds.
Proceedings of the Automata, Languages, and Programming - 42nd International Colloquium, 2015

2014
Fast and RIP-Optimal Transforms.
Discret. Comput. Geom., 2014

A Tighter Lower Bound For Fourier Transform in the Well Conditioned Model.
CoRR, 2014

An n\log n Lower Bound for Fourier Transform Computation in the Well Conditioned Model.
CoRR, 2014

A Tight Lower Bound Instance for k-means++ in Constant Dimension.
Proceedings of the Theory and Applications of Models of Computation, 2014

Reducing Dueling Bandits to Cardinal Bandits.
Proceedings of the 31th International Conference on Machine Learning, 2014

Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
An Almost Optimal Unrestricted Fast Johnson-Lindenstrauss Transform.
ACM Trans. Algorithms, 2013

Bandit Online Optimization Over the Permutahedron.
CoRR, 2013

Online Ranking: Discrete Choice, Spearman Correlation and Other Feedback.
CoRR, 2013

A Lower Bound for Fourier Transform Computation in a Linear Model Over 2x2 Unitary Gates Using Matrix Entropy.
Chic. J. Theor. Comput. Sci., 2013

Threading machine generated email.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Breaking the Small Cluster Barrier of Graph Clustering.
Proceedings of the 30th International Conference on Machine Learning, 2013

Learning and Optimizing with Preferences.
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

2012
Improved Approximation Algorithms for Bipartite Correlation Clustering.
SIAM J. Comput., 2012

Active Learning Using Smooth Relative Regret Approximations with Applications.
Proceedings of the COLT 2012, 2012

An Active Learning Algorithm for Ranking from Pairwise Preferences with an Almost Optimal Query Complexity.
J. Mach. Learn. Res., 2012

A note on: No need to choose: How to get both a PTAS and Sublinear Query Complexity
CoRR, 2012

Active Learning of Custering with Side Information Using $\eps$-Smooth Relative Regret Approximations
CoRR, 2012

2011
Self-Improving Algorithms.
SIAM J. Comput., 2011

Fitting Tree Metrics: Hierarchical Clustering and Phylogeny.
SIAM J. Comput., 2011

Dense Fast Random Projections and Lean Walsh Transforms.
Discret. Comput. Geom., 2011

A New Active Learning Scheme with Applications to Learning to Rank from Pairwise Preferences
CoRR, 2011

Ranking from pairs and triplets: information quality, evaluation methods and query complexity.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Active Learning Ranking from Pairwise Preferences with Almost Optimal Query Complexity.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Preference-based learning to rank.
Mach. Learn., 2010

An Improved Algorithm for Bipartite Correlation Clustering
CoRR, 2010

Query Efficient PTAS for Minimum Feedback Arc-Set in Tournaments
CoRR, 2010

Almost Optimal Unrestricted Fast Johnson-Lindenstrauss Transform
CoRR, 2010

Faster dimension reduction.
Commun. ACM, 2010

Aggregation of Partial Rankings, <i>p</i>-Ratings and Top-<i>m</i> Lists.
Algorithmica, 2010

2009
The Fast Johnson--Lindenstrauss Transform and Approximate Nearest Neighbors.
SIAM J. Comput., 2009

Streaming k-means approximation.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems.
Proceedings of the Automata, Languages and Programming, 36th International Colloquium, 2009

A Simple Linear Ranking Algorithm Using Query Dependent Intercept Variables.
Proceedings of the Advances in Information Retrieval, 2009

2008
Theory research at Google.
SIGACT News, 2008

Aggregating inconsistent information: Ranking and clustering.
J. ACM, 2008

Property-Preserving Data Reconstruction.
Algorithmica, 2008

Reconciling Real Scores with Binary Comparisons: A New Logistic Based Model for Ranking.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

An Efficient Reduction of Ranking to Classification.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007
Estimating the distance to a monotone function.
Random Struct. Algorithms, 2007

Hardness of fully dense problems.
Inf. Comput., 2007

Fast Dimension Reduction Using Rademacher Series on Dual BCH Codes.
Electron. Colloquium Comput. Complex., 2007

2006
Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform.
Proceedings of the 38th Annual ACM Symposium on Theory of Computing, 2006

Self-improving algorithms.
Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

On Clusters in Markov Chains.
Proceedings of the LATIN 2006: Theoretical Informatics, 2006

2005
Lower bounds for linear degeneracy testing.
J. ACM, 2005

2004
Information Theory in Property Testing and Monotonicity Testing in Higher Dimension
Electron. Colloquium Comput. Complex., 2004


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