Papers
Group-Agent Reinforcement Learning with Heterogeneous Agents
Kaiyue Wu, Xiao-Jun Zeng, Tingting Mu
Online Generalized Magician’s Problem with Multiple Workers
Ruoyu Wu, Wei Bao, Ben Liang et al.
Geodesic Slice Sampler for Multimodal Distributions with Strong Curvature
Bernardo Williams, Hanlin Yu, Hoang Phuc Hau Luu et al.
A Mirror Descent Perspective of Smoothed Sign Descent
Shuyang Wang, Diego Klabjan
Informative Synthetic Data Generation for Thorax Disease Classification
Yancheng Wang, Rajeev Goel, Marko Jojic et al.
MutualNeRF: Improve the Performance of NeRF under Limited Samples with Mutual Information Theory
Zifan Wang, Jingwei Li, Yitang Li et al.
VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning
Jie Wang, Ning Xu, Xin Geng
A Parallel Network for LRCT Segmentation and Uncertainty Mitigation with Fuzzy Sets
Shiyi Wang, Yang Nan, Xiaodan Xing et al.
Nonparametric Bayesian Multi-Facet Clustering for Longitudinal Data
Luwei Wang, Kieran Richards, Sohan Seth
Targeted Learning for Variable Importance
Xiaohan Wang, Yunzhe Zhou, Giles Hooker
A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs
Wenyu Wang, Zheyi Fan, Szu Hui Ng
Hindsight Merging: Diverse Data Generation with Language Models
Veniamin Veselovsky, Benedikt Stroebl, Gianluca Bencomo et al.
Offline Changepoint Detection With Gaussian Processes
Janneke Verbeek, Tom Heskes, Yuliya Shapovalova
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Aishwarya Venkataramanan, Paul Bodesheim, Joachim Denzler
EERO: Early Exit with Reject Option for Efficient Classification with limited budget
Florian Valade, Mohamed Hebiri, Paul Gay
Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks
Dat Phan Trong, Hung The Tran, Sunil Gupta
Optimal Transport Alignment of User Preferences from Ratings and Texts
Nhu-Thuat Tran, Hady W. Lauw
HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery
Sana Tonekaboni, Tina Behrouzi, Addison Weatherhead et al.
On Continuous Monitoring of Risk Violations under Unknown Shift
Alexander Timans, Rajeev Verma, Eric Nalisnick et al.
Adversarial Training May Induce Deteriorating Distributions
Runzhi Tian, Yongyi Mao
A Unified Data Representation Learning for Non-parametric Two-sample Testing
Xunye Tian, Liuhua Peng, Zhijian Zhou et al.
Metric Learning in an RKHS
Gokcan Tatli, Yi Chen, Blake Mason et al.
InfoDPCCA: Information-Theoretic Dynamic Probabilistic Canonical Correlation Analysis
Shiqin Tang, Shujian Yu
FALCON: Adaptive Cross-Domain APT Attack Investigation with Federated Causal Learning
Jialu Tang, Yali Gao, Xiaoyong Li et al.
Transparent Trade-offs between Properties of Explanations
Hiwot Belay Tadesse, Alihan Hüyük, Yaniv Yacoby et al.