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Publication search results
found 52 matches
- 2021
- Maryam Abdolali, Nicolas Gillis:
Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms. SIAM J. Math. Data Sci. 3(2): 593-623 (2021) - Ben Adcock, Nick C. Dexter:
The Gap between Theory and Practice in Function Approximation with Deep Neural Networks. SIAM J. Math. Data Sci. 3(2): 624-655 (2021) - Tal Amir, Ronen Basri, Boaz Nadler:
The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty. SIAM J. Math. Data Sci. 3(3): 900-929 (2021) - Santiago Armstrong, Cristóbal Guzmán, Carlos A. Sing-Long:
An Optimal Algorithm for Strict Circular Seriation. SIAM J. Math. Data Sci. 3(4): 1223-1250 (2021) - Armin Askari, Quentin Rebjock, Alexandre d'Aspremont, Laurent El Ghaoui:
FANOK: Knockoffs in Linear Time. SIAM J. Math. Data Sci. 3(3): 833-853 (2021) - Yves F. Atchadé:
Approximate Spectral Gaps for Markov Chain Mixing Times in High Dimensions. SIAM J. Math. Data Sci. 3(3): 854-872 (2021) - Shayan Aziznejad, Michael Unser:
Multikernel Regression with Sparsity Constraint. SIAM J. Math. Data Sci. 3(1): 201-224 (2021) - Francis R. Bach:
On the Effectiveness of Richardson Extrapolation in Data Science. SIAM J. Math. Data Sci. 3(4): 1251-1277 (2021) - Amitabh Basu, Tu Nguyen, Ao Sun:
Admissibility of Solution Estimators for Stochastic Optimization. SIAM J. Math. Data Sci. 3(1): 31-51 (2021) - Jonathan Bauch, Boaz Nadler, Pini Zilber:
Rank 2r Iterative Least Squares: Efficient Recovery of Ill-Conditioned Low Rank Matrices from Few Entries. SIAM J. Math. Data Sci. 3(1): 439-465 (2021) - Kai Bergermann, Martin Stoll, Toni Volkmer:
Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix-Vector Products. SIAM J. Math. Data Sci. 3(2): 758-785 (2021) - Jeremiah Birrell, Paul Dupuis, Markos A. Katsoulakis, Luc Rey-Bellet, Jie Wang:
Variational Representations and Neural Network Estimation of Rényi Divergences. SIAM J. Math. Data Sci. 3(4): 1093-1116 (2021) - March Boedihardjo, Shaofeng Deng, Thomas Strohmer:
A Performance Guarantee for Spectral Clustering. SIAM J. Math. Data Sci. 3(1): 369-387 (2021) - Valentin De Bortoli, Agnès Desolneux, Alain Durmus, Bruno Galerne, Arthur Leclaire:
Maximum Entropy Methods for Texture Synthesis: Theory and Practice. SIAM J. Math. Data Sci. 3(1): 52-82 (2021) - Zachary M. Boyd, Nicolas Fraiman, Jeremy Louis Marzuola, Peter J. Mucha, Braxton Osting, Jonathan Weare:
A Metric on Directed Graphs and Markov Chains Based on Hitting Probabilities. SIAM J. Math. Data Sci. 3(2): 467-493 (2021) - Vasileios Charisopoulos, Austin R. Benson, Anil Damle:
Communication-Efficient Distributed Eigenspace Estimation. SIAM J. Math. Data Sci. 3(4): 1067-1092 (2021) - Ngoc Huy Chau, Éric Moulines, Miklós Rásonyi, Sotirios Sabanis, Ying Zhang:
On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case. SIAM J. Math. Data Sci. 3(3): 959-986 (2021) - Yaim Cooper:
Global Minima of Overparameterized Neural Networks. SIAM J. Math. Data Sci. 3(2): 676-691 (2021) - Lenore Cowen, Kapil Devkota, Xiaozhe Hu, James M. Murphy, Kaiyi Wu:
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks. SIAM J. Math. Data Sci. 3(1): 142-170 (2021) - Wojciech Czaja, Dong Dong, Pierre-Emmanuel Jabin, Franck Olivier Ndjakou Njeunje:
Transport Model for Feature Extraction. SIAM J. Math. Data Sci. 3(1): 321-341 (2021) - Thinh T. Doan, Siva Theja Maguluri, Justin Romberg:
Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation. SIAM J. Math. Data Sci. 3(1): 298-320 (2021) - Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens:
Diversity Sampling is an Implicit Regularization for Kernel Methods. SIAM J. Math. Data Sci. 3(1): 280-297 (2021) - Laurent El Ghaoui, Fangda Gu, Bertrand Travacca, Armin Askari, Alicia Y. Tsai:
Implicit Deep Learning. SIAM J. Math. Data Sci. 3(3): 930-958 (2021) - Alexej Gossmann, Aria Pezeshk, Yu-Ping Wang, Berkman Sahiner:
Test Data Reuse for the Evaluation of Continuously Evolving Classification Algorithms Using the Area under the Receiver Operating Characteristic Curve. SIAM J. Math. Data Sci. 3(2): 692-714 (2021) - Dmitry Grishchenko, Franck Iutzeler, Jérôme Malick, Massih-Reza Amini:
Distributed Learning with Sparse Communications by Identification. SIAM J. Math. Data Sci. 3(2): 715-735 (2021) - Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu:
Mean-Field Controls with Q-Learning for Cooperative MARL: Convergence and Complexity Analysis. SIAM J. Math. Data Sci. 3(4): 1168-1196 (2021) - Abhishek Gupta, William B. Haskell:
Convergence of Recursive Stochastic Algorithms Using Wasserstein Divergence. SIAM J. Math. Data Sci. 3(4): 1141-1167 (2021) - Jamie Haddock, Anna Ma:
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin. SIAM J. Math. Data Sci. 3(1): 342-368 (2021) - Kameron Decker Harris, Yizhe Zhu:
Deterministic Tensor Completion with Hypergraph Expanders. SIAM J. Math. Data Sci. 3(4): 1117-1140 (2021) - Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler, Joseph T. Chang, Yuval Kluger:
Spectral Neighbor Joining for Reconstruction of Latent Tree Models. SIAM J. Math. Data Sci. 3(1): 113-141 (2021)
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