Papers
Near-Exponential Convergence Rates for kNN Classifications based on Boltzmann Margin
Luyuan Yang, Shayan Shafaei, Chao Lan
Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration
Ruofeng Yang, Yongcan Li, Bo Jiang et al.
Verbalizing LLM’s Higher-order Uncertainty via Imprecise Probabilities
Anita Yang, Krikamol Muandet, Michele Caprio et al.
ReVAD: From Imitation to Reasoning in Vectorized Autonomous Driving via Latent Space Search
Zhao Yang, Chengkang Duan, Weiyi Hu et al.
One-Shot Federated Learning based on Random Feature Extractor
Luyuan Yang, Shayan Shafaei, Yiming Liu et al.
Robust Decision-Focused Learning via Worst-Case Regret Minimization
Shoki Yamao, Ken Kobayashi, Ryo Matsui et al.
Vanilla SGD with Momentum Survives Heavy-Tailed Noise: Convergence Analysis without Gradient Clipping or Normalization
Ryusei Yamada, Naoki Sato, Hideaki Iiduka
Implicit Variational Rejection Sampling
Jian Xu, Shigui Li, Wei Chen et al.
Efficient Q-Learning and Actor–Critic Methods for Robust Average-Reward Reinforcement Learning.
Yang Xu, Swetha Ganesh, Vaneet Aggarwal
Kronecker-Structured Nonparametric Spatiotemporal Point Processes
Zhitong Xu, Qiwei Yuan, Yinghao Chen et al.
How Learning Dynamics Drive Adversarially Robust Generalization?
Yuelin Xu, Xiao Zhang
Improving online FDR procedures via online analogs of e-closure and compound e-values
Ziyu Xu, Lasse Fischer, Aaditya Ramdas
ARGUS: Argumentation-Based Minimal-Change Repair for Verifiable LLM Self-Explanations
Yifan Xiao, Shijie Li
Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences
Zheshun Wu, Wei Chen, Zenglin Xu et al.
DRL-ORA: Distributional Reinforcement Learning with Online Epistemic Risk Adaptation
Yupeng Wu, Wenyun Li, Wenjie Huang et al.
Concept Sketching for Description Logics
Jinghan Wu, Chang Lu, Renate Schmidt et al.
On the Convergence of Self-Improving Online LLM Alignment
Xudong Wu, Pangpang Liu, Vaneet Aggarwal et al.
Learning Representations from Perturbation: A Novel Matrix-View Weighting Framework for Naive Bayes
Siyao Wu, Huan Zhang, Kexin Meng et al.
An NTK Theory Approach to UCB Estimation in Semi-gradient TD Learning
Yijun Wu, Pascal R. van der Vaart, Moritz Akiya Zanger et al.
Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification
Bernardo Williams, Harsha Vardhan Tetali, Arto Klami et al.
Single-Network Asymptotics for Causal Inference with Partial Network Data
Steven Wilkins-Reeves, Shane Lubold, Arun Chandrasekhar et al.
Weighted Sequential Bayesian Inference for Non-Stationary Linear Contextual Bandits
Nicklas Werge, Yi-Shan Wu, Abdullah Akgül et al.
Efficient Federated Conformal Prediction with Group-Conditional Guarantee
Haifeng Wen, Osvaldo Simeone, Hong Xing
Hierarchical Bayesian Quadrature
Tim Weiland, Toni Karvonen, Philipp Hennig