| 2025 | ICML | Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. | Akhiad Bercovich, Tomer Ronen, Talor Abramovich, Nir Ailon, Nave Assaf, Mohammad Dabbah, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Netanel Haber, Ehud Karpas, Roi Koren, Itay Levy, Pavlo Molchanov, Shahar Mor, Zach Moshe, Najeeb Nabwani, Omri Puny, Ran Rubin, Itamar Schen, Ido Shahaf, Oren Tropp, Omer Ullman Argov, Ran Zilberstein, Ran El-Yaniv |
| 2021 | UAI | Sparse linear networks with a fixed butterfly structure: theory and practice. | Nir Ailon, Omer Leibovitch, Vineet Nair |
| 2018 | LATIN | Approximate Correlation Clustering Using Same-Cluster Queries. | Nir Ailon, Anup Bhattacharya, Ragesh Jaiswal |
| 2017 | ICLR | Semi-supervised deep learning by metric embedding. | Elad Hoffer, Nir Ailon |
| 2015 | ICALP | Tighter Fourier Transform Lower Bounds. | Nir Ailon |
| 2014 | AISTATS | Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes. | Nir Ailon |
| 2014 | ALT | Bandit Online Optimization over the Permutahedron. | Nir Ailon, Kohei Hatano, Eiji Takimoto |
| 2014 | ICML | Reducing Dueling Bandits to Cardinal Bandits. | Nir Ailon, Zohar Shay Karnin, Thorsten Joachims |
| 2014 | TAMC | A Tight Lower Bound Instance for k-means++ in Constant Dimension. | Anup Bhattacharya, Ragesh Jaiswal, Nir Ailon |
| 2013 | ALT | Learning and Optimizing with Preferences. | Nir Ailon |
| 2013 | ICML | Breaking the Small Cluster Barrier of Graph Clustering. | Nir Ailon, Yudong Chen, Huan Xu |
| 2013 | WSDM | Threading machine generated email. | Nir Ailon, Zohar Shay Karnin, Edo Liberty, Yoelle Maarek |
| 2011 | ESA | Improved Approximation Algorithms for Bipartite Correlation Clustering. | Nir Ailon, Noa Avigdor-Elgrabli, Edo Liberty, Anke van Zuylen |
| 2011 | SODA | An Almost Optimal Unrestricted Fast Johnson-Lindenstrauss Transform. | Nir Ailon, Edo Liberty |
| 2011 | WSDM | Ranking from pairs and triplets: information quality, evaluation methods and query complexity. | Kira Radinsky, Nir Ailon |
| 2009 | ECIR | A Simple Linear Ranking Algorithm Using Query Dependent Intercept Variables. | Nir Ailon |
| 2009 | ICALP | Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems. | Nir Ailon, Edo Liberty |
| 2008 | COLT | An Efficient Reduction of Ranking to Classification. | Nir Ailon, Mehryar Mohri |
| 2008 | SODA | Fast dimension reduction using Rademacher series on dual BCH codes. | Nir Ailon, Edo Liberty |
| 2007 | SODA | Aggregation of partial rankings, | Nir Ailon |
| 2006 | LATIN | On Clusters in Markov Chains. | Nir Ailon, Steve Chien, Cynthia Dwork |
| 2006 | SODA | Self-improving algorithms. | Nir Ailon, Bernard Chazelle, Seshadhri Comandur, Ding Liu |
| 2006 | STOC | Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform. | Nir Ailon, Bernard Chazelle |
| 2005 | FOCS | Fitting tree metrics: Hierarchical clustering and Phylogeny. | Nir Ailon, Moses Charikar |
| 2005 | STOC | Aggregating inconsistent information: ranking and clustering. | Nir Ailon, Moses Charikar, Alantha Newman |
| 2005 | STACS | Information Theory in Property Testing and Monotonicity Testing in Higher Dimension. | Nir Ailon, Bernard Chazelle |
| 2004 | ISAAC | Property-Preserving Data Reconstruction. | Nir Ailon, Bernard Chazelle, Seshadhri Comandur, Ding Liu |
| 2004 | STOC | Lower bounds for linear degeneracy testing. | Nir Ailon, Bernard Chazelle |