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Statistics Theory
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
2 days ago by
Thibault Surrel
and
others
Methodology
,
Machine Learning
Robustly Learning Monotone Generalized Linear Models via Data Augmentation
2 days ago by
Nikos Zarifis
and
others
Machine Learning
,
Optimization and Control
Network Goodness-of-Fit for the block-model family
2 days ago by
Jiashun Jin
and
others
Statistics Theory
,
Methodology
Anytime-valid FDR control with the stopped e-BH procedure
2 days ago by
Hongjian Wang
and
others
Methodology
,
Statistics Theory
Abstract questionnaires and FS-decision digraphs
2 days ago by
Jiaye Chen
and
others
Combinatorics
,
Information Theory
Fast Convergence of
Φ
-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler
2 days ago by
Siddharth Mitra
and
Andre Wibisono
Statistics Theory
,
Information Theory
Moment Estimator-Based Extreme Quantile Estimation with Erroneous Observations: Application to Elliptical Extreme Quantile Region Estimation
2 days ago by
Jaakko Pere
and
others
Statistics Theory
A comparison of Dirichlet kernel regression methods on the simplex
2 days ago by
Hanen Daayeb
and
others
Statistics Theory
,
Applications
An Extension of the Unified Skew-Normal Family of Distributions and Application to Bayesian Binary Regression
3 days ago by
Paolo Onorati
and
Brunero Liseo
Methodology
,
Statistics Theory
Trend estimation for time series with polynomial-tailed noise
3 days ago by
Michael Neumann
and
Anne Leucht
Statistics Theory
Direct sampling from conditional distributions by sequential maximum likelihood estimations
3 days ago by
Shuhei Mano
Statistics Theory
Variational Causal Inference
3 days ago by
Yulun Wu
and
others
Machine Learning
,
Artificial Intelligence
Counterfactual Generative Modeling with Variational Causal Inference
3 days ago by
Yulun Wu
and
others
Machine Learning
,
Artificial Intelligence
The nature of mathematical models
3 days ago by
Andrea Gaetano
Other Statistics
,
Statistics Theory
Model-free Methods for Event History Analysis and Efficient Adjustment (PhD Thesis)
3 days ago by
Alexander Mangulad Christgau
Methodology
,
Statistics Theory
The Benefits of Balance: From Information Projections to Variance Reduction
3 days ago by
Lang Liu
and
others
Machine Learning
,
Statistics Theory
Hoeffding-type decomposition for
U
-statistics on bipartite networks
3 days ago by
Tâm Minh
and
others
Statistics Theory
Sharp Anti-Concentration Inequalities for Extremum Statistics via Copulas
3 days ago by
Matias Cattaneo
and
others
Statistics Theory
,
Probability
Cheap Permutation Testing
3 days ago by
Carles Domingo-Enrich
and
others
Statistics Theory
,
Computation
Isotonic Mechanism for Exponential Family Estimation in Machine Learning Peer Review
3 days ago by
Yuling Yan
and
others
Statistics Theory
,
Computer Science and Game Theory
A Particle Algorithm for Mean-Field Variational Inference
3 days ago by
Qiang Du
and
others
Statistics Theory
,
Machine Learning
Symmetric Bernoulli distributions and minimal dependence copulas
3 days ago by
Alessandro Mutti
and
Patrizia Semeraro
Statistics Theory
,
Mathematical Finance
Overfitting Regimes of Nadaraya-Watson Interpolators
4 days ago by
Daniel Barzilai
and
others
Machine Learning
,
Statistics Theory
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization
4 days ago by
Mathieu Even
and
Laurent Massoulié
Machine Learning
,
Probability
Singular leaning coefficients and efficiency in learning theory
4 days ago by
Miki Aoyagi
Machine Learning
,
Algebraic Geometry
Regularization Using Synthetic Data in High-Dimensional Models
4 days ago by
Weihao Li
and
Dongming Huang
Statistics Theory
Uniform Kernel Prober
4 days ago by
Soumya Mukherjee
and
Bharath Sriperumbudur
Machine Learning
,
Statistics Theory
Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
4 days ago by
Yunrui Guan
and
others
Machine Learning
,
Statistics Theory
Fixed-Confidence Best Arm Identification with Decreasing Variance
4 days ago by
Tamojeet Roychowdhury
and
others
Machine Learning
,
Information Theory
One-Shot Learning for k-SAT
4 days ago by
Andreas Galanis
and
others
Data Structures and Algorithms
,
Machine Learning
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