Papers
Transport Elliptical Slice Sampling
Alberto Cabezas, Christopher Nemeth
Transport Reversible Jump Proposals
Laurence Davies, Robert Salomone, Matthew Sutton et al.
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation
Jackie Baek, Vivek Farias
Two-Sample Tests for Inhomogeneous Random Graphs in $L_r$ Norm: Optimality and Asymptotics
Sayak Chatterjee, Dibyendu Saha, Soham Dan et al.
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
Joseph Janssen, Vincent Guan, Elina Robeva
Uncertainty-aware Unsupervised Video Hashing
Yucheng Wang, Mingyuan Zhou, Yu Sun et al.
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition
Sebastian Gruber, Florian Buettner
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data
Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng et al.
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
Alicia Curth, Mihaela van der Schaar
Uni6Dv2: Noise Elimination for 6D Pose Estimation
Mingshan Sun, Ye Zheng, Tianpeng Bao et al.
Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics
Masahiro Kato, Masaaki Imaizumi, Kentaro Minami
Uniformly Conservative Exploration in Reinforcement Learning
Wanqiao Xu, Yecheng Ma, Kan Xu et al.
Unifying local and global model explanations by functional decomposition of low dimensional structures
Munir Hiabu, Joseph T. Meyer, Marvin N. Wright
Universal Agent Mixtures and the Geometry of Intelligence
Samuel Allen Alexander, David Quarel, Len Du et al.
Unsupervised representation learning with recognition-parametrised probabilistic models
William I. Walker, Hugo Soulat, Changmin Yu et al.
USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy
Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks
Shelvia Wongso, Rohan Ghosh, Mehul Motani
Variational Boosted Soft Trees
Tristan Cinquin, Tammo Rukat, Philipp Schmidt et al.
Variational Inference for Neyman-Scott Processes
Chengkuan Hong, Christian Shelton
Vector Optimization with Stochastic Bandit Feedback
Cagin Ararat, Cem Tekin
Vector Quantized Time Series Generation with a Bidirectional Prior Model
Daesoo Lee, Sara Malacarne, Erlend Aune
Wasserstein Distributional Learning via Majorization-Minimization
Chengliang Tang, Nathan Lenssen, Ying Wei et al.
Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints
Kyriakos Lotidis, Nicholas Bambos, Jose Blanchet et al.
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations
Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis