Papers
4,122 papers found
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
Ye He, Tyler Farghly, Krishnakumar Balasubramanian et al.
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems
Bokgyeong Kang, John Hughes, Murali Haran
Memorization With Neural Nets: Going Beyond the Worst Case
Sjoerd Dirksen, Patrick Finke, Martin Genzel
Memory-Efficient Sequential Pattern Mining with Hybrid Tries
Amin Hosseininasab, Willem-Jan van Hoeve, Andre A. Cire
Memory of recurrent networks: Do we compute it right?
Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega
Mentored Learning: Improving Generalization and Convergence of Student Learner
Xiaofeng Cao, Yaming Guo, Heng Tao Shen et al.
Minimax Rates for High-Dimensional Random Tessellation Forests
Eliza O'Reilly, Ngoc Mai Tran
MLRegTest: A Benchmark for the Machine Learning of Regular Languages
Sam van der Poel, Dakotah Lambert, Kalina Kostyszyn et al.
Model-Free Representation Learning and Exploration in Low-Rank MDPs
Aditya Modi, Jinglin Chen, Akshay Krishnamurthy et al.
Modeling Random Networks with Heterogeneous Reciprocity
Daniel Cirkovic, Tiandong Wang
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
Daniel LeJeune, Jiayu Liu, Reinhard Heckel
More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization
Xu Liu, Heng Lian, Jian Huang
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity
Borja Rodríguez-Gálvez, Ragnar Thobaben, Mikael Skoglund
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data
Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
Multi-Objective Neural Architecture Search by Learning Search Space Partitions
Yiyang Zhao, Linnan Wang, Tian Guo
Multiple Descent in the Multiple Random Feature Model
Xuran Meng, Jianfeng Yao, Yuan Cao
Multi-Response Linear Discriminant Analysis in High Dimensions
Kai Deng, Xin Zhang, Aaron J. Molstad
Nearest Neighbor Sampling for Covariate Shift Adaptation
François Portier, Lionel Truquet, Ikko Yamane
Neural Bayes estimators for censored inference with peaks-over-threshold models
Jordan Richards, Matthew Sainsbury-Dale, Andrew Zammit-Mangion et al.
Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data
Wanli Hong, Shuyang Ling
Neural Feature Learning in Function Space
Xiangxiang Xu, Lizhong Zheng
Neural Networks with Sparse Activation Induced by Large Bias: Tighter Analysis with Bias-Generalized NTK
Hongru Yang, Ziyu Jiang, Ruizhe Zhang et al.
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
O. Deniz Akyildiz, Sotirios Sabanis