Papers citing 'Adaptive Metric Dimensionality Reduction'

Title
Private Evolution Converges Tomás González Giulia Fanti Aaditya Ramdas 180 0 0 10 Jun 2025
Why and When Deep is Better than Shallow: An Implementation-Agnostic State-Transition View of Depth Supremacy Sho Sonoda Yuka Hashimoto Isao Ishikawa Masahiro Ikeda 211 0 0 21 May 2025
Fine-Grained Uncertainty Quantification via Collisions Jesse Friedbaum Sudarshan Adiga Ravi Tandon 478 0 0 18 Nov 2024
Trustworthy Actionable PerturbationsInternational Conference on Machine Learning (ICML), 2024 Jesse Friedbaum Sudarshan Adiga Ravi Tandon AAML 228 2 0 18 May 2024
Covering Number of Real Algebraic Varieties and Beyond: Improved Bounds and Applications Yifan Zhang Joe Kileel 371 6 0 09 Nov 2023
Efficient Agnostic Learning with Average SmoothnessInternational Conference on Algorithmic Learning Theory (ALT), 2023 Steve Hanneke A. Kontorovich Guy Kornowski 130 2 0 29 Sep 2023
Optimal Scalarizations for Sublinear Hypervolume RegretNeural Information Processing Systems (NeurIPS), 2023 Qiuying Zhang 136 2 0 06 Jul 2023
Covariate balancing using the integral probability metric for causal inferenceInternational Conference on Machine Learning (ICML), 2023 Insung Kong Yuha Park Joonhyuk Jung Kwonsang Lee Yongdai Kim 211 8 0 23 May 2023
Near-optimal learning with average Hölder smoothnessNeural Information Processing Systems (NeurIPS), 2023 Steve Hanneke A. Kontorovich Guy Kornowski 133 5 0 12 Feb 2023
Algorithmically Effective Differentially Private Synthetic DataAnnual Conference Computational Learning Theory (COLT), 2023 Yi He Roman Vershynin Yizhe Zhu SyDa 163 11 0 11 Feb 2023
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equationJournal of Computational Physics (JCP), 2023 Jose Antonio Lara Benitez Takashi Furuya F. Faucher Anastasis Kratsios X. Tricoche Maarten V. de Hoop 331 32 0 27 Jan 2023
Teacher Guided Training: An Efficient Framework for Knowledge TransferInternational Conference on Learning Representations (ICLR), 2022 Manzil Zaheer A. S. Rawat Seungyeon Kim Chong You Himanshu Jain Andreas Veit Rob Fergus Surinder Kumar VLM 151 1 0 14 Aug 2022
Non-Linear Spectral Dimensionality Reduction Under Uncertainty Firas Laakom Jenni Raitoharju Nikolaos Passalis Alexandros Iosifidis Moncef Gabbouj UD 109 0 0 09 Feb 2022
Intrinsic Dimension Estimation Using Wasserstein DistancesJournal of machine learning research (JMLR), 2021 Adam Block Zeyu Jia Yury Polyanskiy Alexander Rakhlin 200 24 0 08 Jun 2021
Functions with average smoothness: structure, algorithms, and learningAnnual Conference Computational Learning Theory (COLT), 2020 Yair Ashlagi Lee-Ad Gottlieb A. Kontorovich 144 10 0 13 Jul 2020
Target-Embedding Autoencoders for Supervised Representation LearningInternational Conference on Learning Representations (ICLR), 2020 Daniel Jarrett M. Schaar OOD 152 17 0 23 Jan 2020
Fast and Bayes-consistent nearest neighborsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 K. Efremenko A. Kontorovich Moshe Noivirt 203 3 0 07 Oct 2019
Fréchet random forests for metric space valued regression with non euclidean predictors L. Capitaine Jérémie Bigot R. Thiébaut Robin Genuer 128 15 0 04 Jun 2019
Efficient Kirszbraun Extension with Applications to RegressionMathematical programming (Math. Program.), 2019 Hanan Zaichyk Armin Biess A. Kontorovich Yury Makarychev 70 3 0 28 May 2019
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions A. Kontorovich Sivan Sabato Roi Weiss 279 30 0 23 May 2017
Active Nearest-Neighbor Learning in Metric Spaces A. Kontorovich Sivan Sabato Ruth Urner 693 36 0 22 May 2016
Foundations of Coupled Nonlinear Dimensionality Reduction M. Mohri Afshin Rostamizadeh Dmitry Storcheus 129 13 0 29 Sep 2015
Near-optimal sample compression for nearest neighborsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2014 Lee-Ad Gottlieb A. Kontorovich Pinhas Nisnevitch 524 48 0 13 Apr 2014
Maximum Margin Multiclass Nearest NeighborsInternational Conference on Machine Learning (ICML), 2014 A. Kontorovich Roi Weiss 281 32 0 30 Jan 2014
Efficient Regression in Metric Spaces via Approximate Lipschitz ExtensionIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2011 Lee-Ad Gottlieb A. Kontorovich Robert Krauthgamer 372 56 0 18 Nov 2011