Papers
Learning to Sample in Stochastic Optimization
Sijia Zhou, Yunwen Lei, Ata Kaban
Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
Xue Zhou, Dapeng Man, Chen Xu et al.
Towards Provably Efficient Learning of Imperfect Information Extensive-Form Games with Linear Function Approximation
Canzhe Zhao, Shuze Chen, Weiming Liu et al.
Sample and Computationally Efficient Continuous-Time Reinforcement Learning with General Function Approximation
Runze Zhao, Yue Yu, Adams Yiyue Zhu et al.
Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization
Fengxue Zhang, Yuxin Chen
Residual Reweighted Conformal Prediction for Graph Neural Networks
Zheng Zhang, Jie Bao, Zhixin Zhou et al.
Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication
Haoran Zhang, Xuchuang Wang, Hao-Xu Chen et al.
Improving Adversarial Transferability via Decision Boundary Adaptation
Jiayu Zhang, Zhiyu Zhu, Zhibo Jin et al.
Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation
Junzhe Zhang, Elias Bareinboim
Instance-Wise Monotonic Calibration by Constrained Transformation
Yunrui Zhang, Gustavo Enrique Batista, Salil S. Kanhere
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
Ziyi Zhang, yorie nakahira, Guannan Qu
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
Daokun Zhang, Russell Tsuchida, Dino Sejdinovic
Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
Clément Yvernes, Emilie Devijver, Eric Gaussier
Corruption-Robust Variance-aware Algorithms for Generalized Linear Bandits under Heavy-tailed Rewards
Qingyuan Yu, Euijin Baek, Xiang Li et al.
How Likely Are Two Voting Rules Different?
Ziqi Yu, Lirong Xia, Qishen Han et al.
$σ$-Maximal Ancestral Graphs
Binghua Yao, Joris Marten Mooij
Flow-Based Delayed Hawkes Process
Chao Yang, Wendi Ren, Shuang Li
MSCGrapher: Learning Multi-Scale Dynamic Correlations for Multivariate Time Series Forecasting
Xian Yang, Zhenguo Zhang, Shihao Lu
Best Arm Identification with Possibly Biased Offline Data
Le Yang, Vincent Y. F. Tan, Wang Chi Cheung
Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning
Wentao Yang, Xinyue Liu, Yunlong Gao et al.
Dependent Randomized Rounding for Budget Constrained Experimental Design
Khurram Yamin, Edward Kennedy, Bryan Wilder
Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
Jian Xu, Shian Du, Junmei Yang et al.
Learning Multi-interest Embedding with Dynamic Graph Cluster for Sequention Recommendation
Xiao Chunjing, Ranhao Guo, Zhang Yongwang et al.
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
Quan Xiao, Debarun Bhattacharjya, Balaji Ganesan et al.
FlightPatchNet: Multi-Scale Patch Network with Differential Coding for Short-Term Flight Trajectory Prediction
Lan Wu, Xuebin Wang, Ruijuan Chu et al.