Papers
4,122 papers found
Stage-Aware Learning for Dynamic Treatments
Hanwen Ye, Wenzhuo Zhou, Ruoqing Zhu et al.
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces
Iskander Azangulov, Andrei Smolensky, Alexander Terenin et al.
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case
Iskander Azangulov, Andrei Smolensky, Alexander Terenin et al.
Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model
Ning Wang, Xin Zhang, Qing Mai
Statistical Inference for Fairness Auditing
John J. Cherian, Emmanuel J. Candès
Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality
Joshua Cutler, Mateo Díaz, Dmitriy Drusvyatskiy
Stochastic-Constrained Stochastic Optimization with Markovian Data
Yeongjong Kim, Dabeen Lee
Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent
Benjamin Gess, Sebastian Kassing, Vitalii Konarovskyi
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model
Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim et al.
Structured Optimal Variational Inference for Dynamic Latent Space Models
Peng Zhao, Anirban Bhattacharya, Debdeep Pati et al.
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
Jorge F. Silva, Felipe Tobar, Mario Vicuña et al.
Sum-of-norms clustering does not separate nearby balls
Alexander Dunlap, Jean-Christophe Mourrat
Tangential Wasserstein Projections
Florian Gunsilius, Meng Hsuan Hsieh, Myung Jin Lee
Targeted Separation and Convergence with Kernel Discrepancies
Alessandro Barp, Carl-Johann Simon-Gabriel, Mark Girolami et al.
Tensor-train methods for sequential state and parameter learning in state-space models
Yiran Zhao, Tiangang Cui
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
Chi-Heng Lin, Chiraag Kaushik, Eva L. Dyer et al.
The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis
El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz
The Non-Overlapping Statistical Approximation to Overlapping Group Lasso
Mingyu Qi, Tianxi Li
The Nyström method for convex loss functions
Andrea Della Vecchia, Ernesto De Vito, Jaouad Mourtada et al.
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance
Lisha Chen, Heshan Fernando, Yiming Ying et al.
Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions
Maksim Velikanov, Dmitry Yarotsky
Topological Analysis for Detecting Anomalies in dependent sequences: application to Time Series
Frédéric Chazal, Clément Levrard, Martin Royer