Papers
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective
Sanath Kumar Krishnamurthy, Adrienne M Propp, Susan Athey
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach
Juanwu Lu, Wei Zhan, Masayoshi Tomizuka et al.
Towards Practical Non-Adversarial Distribution Matching
Ziyu Gong, Ben Usman, Han Zhao et al.
Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach
Ivan Peshekhonov, Aleksey Arzhantsev, Maxim Rakhuba
Training Implicit Generative Models via an Invariant Statistical Loss
José Manuel de Frutos, Pablo Olmos, Manuel Alberto Vazquez Lopez et al.
Transductive conformal inference with adaptive scores
Ulysse Gazin, Gilles Blanchard, Etienne Roquain
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
Zelin He, Ying Sun, Runze Li
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression
Kevin Li, Max Balakirsky, Simon Mak
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting
Louis Sharrock, Daniel Dodd, Christopher Nemeth
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process
Lingkai Kong, Haotian Sun, Yuchen Zhuang et al.
Uncertainty-aware Continuous Implicit Neural Representations for Remote Sensing Object Counting
Siyuan Xu, Yucheng Wang, Mingzhou Fan et al.
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results
Ainhize Barrainkua, Paula Gordaliza, Jose A. Lozano et al.
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters
Zhenyu Sun, Xiaochun Niu, Ermin Wei
Understanding Inverse Scaling and Emergence in Multitask Representation Learning
Muhammed E. Ildiz, Zhe Zhao, Samet Oymak
Understanding Progressive Training Through the Framework of Randomized Coordinate Descent
Rafał Szlendak, Elnur Gasanov, Peter Richtarik
Understanding the Generalization Benefits of Late Learning Rate Decay
Yinuo Ren, Chao Ma, Lexing Ying
Unsupervised Change Point Detection in Multivariate Time Series
Daoping Wu, Suhas Gundimeda, Shaoshuai Mou et al.
Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio
Amirhossein Ahmadian, Yifan Ding, Gabriel Eilertsen et al.
Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation
Yiling Kuang, Chao Yang, Yang Yang et al.
Variational Gaussian Process Diffusion Processes
Prakhar Verma, Vincent Adam, Arno Solin
Variational Resampling
Oskar Kviman, Nicola Branchini, Víctor Elvira et al.
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
Guillaume Braun, Masashi Sugiyama
Vector Quantile Regression on Manifolds
Marco Pegoraro, Sanketh Vedula, Aviv A Rosenberg et al.