Papers
Lightning UQ Box: Uncertainty Quantification for Neural Networks
Nils Lehmann, Nina Maria Gottschling, Jakob Gawlikowski et al.
Scaling Data-Constrained Language Models
Niklas Muennighoff, Alexander M. Rush, Boaz Barak et al.
Curvature-based Clustering on Graphs
Yu Tian, Zachary Lubberts, Melanie Weber
Composite Goodness-of-fit Tests with Kernels
Oscar Key, Arthur Gretton, François-Xavier Briol et al.
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
Jianqing Zhang, Yang Liu, Yang Hua et al.
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
Nikhil Ghosh, Spencer Frei, Wooseok Ha et al.
Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data
Pan Zhao, Julie Josse, Shu Yang
DAGs as Minimal I-maps for the Induced Models of Causal Bayesian Networks under Conditioning
Xiangdong Xie, Jiahua Guo, Yi Sun
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
Shouri Hu, Haowei Wang, Zhongxiang Dai et al.
Manifold Fitting under Unbounded Noise
Zhigang Yao, Yuqing Xia
Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play
Zelai Xu, Chao Yu, Yancheng Liang et al.
Wasserstein Convergence Guarantees for a General Class of Score-Based Generative Models
Xuefeng Gao, Hoang M. Nguyen, Lingjiong Zhu
Extremal graphical modeling with latent variables via convex optimization
Sebastian Engelke, Armeen Taeb
On the Approximation of Kernel functions
Paul Dommel, Alois Pichler
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
Jue Hou, Rajarshi Mukherjee, Tianxi Cai
Nonconvex Stochastic Bregman Proximal Gradient Method with Application to Deep Learning
Kuangyu Ding, Jingyang Li, Kim-Chuan Toh
Optimizing Data Collection for Machine Learning
Rafid Mahmood, James Lucas, Jose M. Alvarez et al.
Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective
Shayan Hundrieser, Florian Heinemann, Marcel Klatt et al.
Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding
Jiajing Zheng, Alexander D'Amour, Alexander Franks
Rank-one Convexification for Sparse Regression
Alper Atamturk, Andres Gomez
gsplat: An Open-Source Library for Gaussian Splatting
Vickie Ye, Ruilong Li, Justin Kerr et al.
Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
Clément Bonet, Lucas Drumetz, Nicolas Courty
Accelerating optimization over the space of probability measures
Shi Chen, Qin Li, Oliver Tse et al.
Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data
Didong Li, Andrew Jones, Sudipto Banerjee et al.