Papers
4,122 papers found
Bagged Regularized k-Distances for Anomaly Detection
Yuchao Cai, Hanfang Yang, Yuheng Ma et al.
Bayesian Data Sketching for Varying Coefficient Regression Models
Rajarshi Guhaniyogi, Laura Baracaldo, Sudipto Banerjee
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data
Didong Li, Andrew Jones, Sudipto Banerjee et al.
Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior
Ben Wu, Keru Wu, Jian Kang
Bayesian Score Calibration for Approximate Models
Joshua J. Bon, David J. Warne, David J. Nott et al.
Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions
Dapeng Yao, Fangzheng Xie, Yanxun Xu
Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes
Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif
Best Linear Unbiased Estimate from Privatized Contingency Tables
Jordan Awan, Adam Edwards, Paul Bartholomew et al.
Biological Sequence Kernels with Guaranteed Flexibility
Alan N. Amin, Debora S. Marks, Eli N. Weinstein
BitNet: 1-bit Pre-training for Large Language Models
Hongyu Wang, Shuming Ma, Lingxiao Ma et al.
BoFire: Bayesian Optimization Framework Intended for Real Experiments
Johannes P. Dürholt, Thomas S. Asche, Johanna Kleinekorte et al.
Boosting Causal Additive Models
Maximilian Kertel, Nadja Klein
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
Yujin Jeong, Dominik Rothenhäusler
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
Yajie Bao, Yuyang Huo, Haojie Ren et al.
Categorical Semantics of Compositional Reinforcement Learning
Georgios Bakirtzis, Michail Savvas, Ufuk Topcu
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
Atticus Geiger, Duligur Ibeling, Amir Zur et al.
Causal Effect of Functional Treatment
Ruoxu Tan, Wei Huang, Zheng Zhang et al.
Certified Machine Unlearning Under High Dimensional Regime
Haolin Zou, Arnab Auddy, Yongchan Kwon et al.
Characterizing Dynamical Stability of Stochastic Gradient Descent in Overparameterized Learning
Dennis Chemnitz, Maximilian Engel
Classification in the high dimensional Anisotropic mixture framework: A new take on Robust Interpolation
Stanislav Minsker, Mohamed Ndaoud, Yiqiu Shen
Client Selection for Federated Policy Optimization with Environment Heterogeneity
Zhijie Xie, Shenghui Song
ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation
Sungduk Yu, Zeyuan Hu, Akshay Subramaniam et al.
Collaborative likelihood-ratio estimation over graphs
Alejandro de la Concha, Nicolas Vayatis, Argyris Kalogeratos