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SIAM Journal on Mathematics of Data Science, Volume 3
Volume 3, Number 1, 2021
- Braxton Osting
, Dong Wang
Consistency of Archetypal Analysis. 1-30 - Amitabh Basu
Admissibility of Solution Estimators for Stochastic Optimization. 31-51 - Valentin De Bortoli
Maximum Entropy Methods for Texture Synthesis: Theory and Practice. 52-82 - Alex Tank
The Convex Mixture Distribution: Granger Causality for Categorical Time Series. 83-112 - Ariel Jaffe, Noah Amsel, Yariv Aizenbud, Boaz Nadler
Spectral Neighbor Joining for Reconstruction of Latent Tree Models. 113-141 - Lenore Cowen, Kapil Devkota, Xiaozhe Hu
Diffusion State Distances: Multitemporal Analysis, Fast Algorithms, and Applications to Biological Networks. 142-170 - Alp Yurtsever, Joel A. Tropp
Scalable Semidefinite Programming. 171-200 - Shayan Aziznejad
Multikernel Regression with Sparsity Constraint. 201-224 - Robert J. Webber
Error Bounds for Dynamical Spectral Estimation. 225-252 - Greg Ongie
Tensor Methods for Nonlinear Matrix Completion. 253-279 - Michaël Fanuel, Joachim Schreurs, Johan A. K. Suykens
Diversity Sampling is an Implicit Regularization for Kernel Methods. 280-297 - Thinh T. Doan
Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation. 298-320 - Wojciech Czaja, Dong Dong, Pierre-Emmanuel Jabin, Franck Olivier Ndjakou Njeunje:
Transport Model for Feature Extraction. 321-341 - Jamie Haddock
Greed Works: An Improved Analysis of Sampling Kaczmarz-Motzkin. 342-368 - March Boedihardjo
A Performance Guarantee for Spectral Clustering. 369-387 - Boris Landa, Ronald R. Coifman, Yuval Kluger
Doubly Stochastic Normalization of the Gaussian Kernel Is Robust to Heteroskedastic Noise. 388-413 - Weilin Li:
Generalization Error of Minimum Weighted Norm and Kernel Interpolation. 414-438 - Jonathan Bauch
Rank 2r Iterative Least Squares: Efficient Recovery of Ill-Conditioned Low Rank Matrices from Few Entries. 439-465
Volume 3, Number 2, 2021
- Zachary M. Boyd
A Metric on Directed Graphs and Markov Chains Based on Hitting Probabilities. 467-493 - Elad Romanov
Multi-Reference Alignment in High Dimensions: Sample Complexity and Phase Transition. 494-523 - Ning Zhang, Yangjing Zhang, Defeng Sun, Kim-Chuan Toh:
An Efficient Linearly Convergent Regularized Proximal Point Algorithm for Fused Multiple Graphical Lasso Problems. 524-543 - Richard Kueng
Binary Component Decomposition Part I: The Positive-Semidefinite Case. 544-572 - Ruda Zhang
Normal-Bundle Bootstrap. 573-592 - Maryam Abdolali
Simplex-Structured Matrix Factorization: Sparsity-Based Identifiability and Provably Correct Algorithms. 593-623 - Ben Adcock, Nick C. Dexter
The Gap between Theory and Practice in Function Approximation with Deep Neural Networks. 624-655 - Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. 656-675 - Yaim Cooper:
Global Minima of Overparameterized Neural Networks. 676-691 - 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. 692-714 - Dmitry Grishchenko, Franck Iutzeler
Distributed Learning with Sparse Communications by Identification. 715-735 - Melissa Marchand, Kyle A. Gallivan, Wen Huang, Paul Van Dooren
Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem. 736-757 - Kai Bergermann
Semi-supervised Learning for Aggregated Multilayer Graphs Using Diffuse Interface Methods and Fast Matrix-Vector Products. 758-785
Volume 3, Number 3, 2021
- Nimita Shinde, Vishnu Narayanan, James Saunderson
Memory-Efficient Structured Convex Optimization via Extreme Point Sampling. 787-814 - Palle E. T. Jorgensen, David E. Stewart
Approximation Properties of Ridge Functions and Extreme Learning Machines. 815-832 - Armin Askari
FANOK: Knockoffs in Linear Time. 833-853 - Yves F. Atchadé:
Approximate Spectral Gaps for Markov Chain Mixing Times in High Dimensions. 854-872 - Cristopher Salvi, Thomas Cass, James Foster
The Signature Kernel Is the Solution of a Goursat PDE. 873-899 - Tal Amir
The Trimmed Lasso: Sparse Recovery Guarantees and Practical Optimization by the Generalized Soft-Min Penalty. 900-929 - Laurent El Ghaoui
Implicit Deep Learning. 930-958 - Ngoc Huy Chau, Éric Moulines, Miklós Rásonyi
On Stochastic Gradient Langevin Dynamics with Dependent Data Streams: The Fully Nonconvex Case. 959-986 - William E. Leeb
Matrix Denoising for Weighted Loss Functions and Heterogeneous Signals. 987-1012
Volume 3, Number 4, 2021
- Koulik Khamaru, Ashwin Pananjady, Feng Ruan, Martin J. Wainwright, Michael I. Jordan
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis. 1013-1040 - Elizabeth Newman, Lars Ruthotto
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection. 1041-1066 - Vasileios Charisopoulos
Communication-Efficient Distributed Eigenspace Estimation. 1067-1092 - Jeremiah Birrell
Variational Representations and Neural Network Estimation of Rényi Divergences. 1093-1116 - Kameron Decker Harris
Deterministic Tensor Completion with Hypergraph Expanders. 1117-1140 - Abhishek Gupta
Convergence of Recursive Stochastic Algorithms Using Wasserstein Divergence. 1141-1167 - Haotian Gu, Xin Guo, Xiaoli Wei
Mean-Field Controls with Q-Learning for Cooperative MARL: Convergence and Complexity Analysis. 1168-1196 - Qunwei Li, Bhavya Kailkhura, Rushil Anirudh, Jize Zhang
MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data. 1197-1222 - Santiago Armstrong, Cristóbal Guzmán
An Optimal Algorithm for Strict Circular Seriation. 1223-1250 - Francis R. Bach:
On the Effectiveness of Richardson Extrapolation in Data Science. 1251-1277 - Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
On the Bias, Risk, and Consistency of Sample Means in Multi-armed Bandits. 1278-1300 - Daniel Potts
Interpretable Approximation of High-Dimensional Data. 1301-1323
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