Papers
UPSCALE: Unconstrained Channel Pruning
Alvin Wan, Hanxiang Hao, Kaushik Patnaik et al.
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems
Marc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson et al.
User-level Private Stochastic Convex Optimization with Optimal Rates
Raef Bassily, Ziteng Sun
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Gati V Aher, Rosa I. Arriaga, Adam Tauman Kalai
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy
Xing Liu, Andrew B. Duncan, Axel Gandy
VA-learning as a more efficient alternative to Q-learning
Yunhao Tang, Remi Munos, Mark Rowland et al.
Variance Control for Distributional Reinforcement Learning
Qi Kuang, Zhoufan Zhu, Liwen Zhang et al.
Variational Autoencoding Neural Operators
Jacob H Seidman, Georgios Kissas, George J. Pappas et al.
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
Seongun Kim, Kyowoon Lee, Jaesik Choi
Variational Mixture of HyperGenerators for Learning Distributions over Functions
Batuhan Koyuncu, Pablo Sanchez Martin, Ignacio Peis et al.
Variational Open-Domain Question Answering
Valentin Liévin, Andreas Geert Motzfeldt, Ida Riis Jensen et al.
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization
Jian Cao, Myeongjong Kang, Felix Jimenez et al.
VectorMapNet: End-to-end Vectorized HD Map Learning
Yicheng Liu, Tianyuan Yuan, Yue Wang et al.
Vector Quantized Wasserstein Auto-Encoder
Long Tung Vuong, Trung Le, He Zhao et al.
Vector-Valued Control Variates
Zhuo Sun, Alessandro Barp, Francois-Xavier Briol
Vertical Federated Graph Neural Network for Recommender System
Peihua Mai, Yan Pang
VIMA: Robot Manipulation with Multimodal Prompts
Yunfan Jiang, Agrim Gupta, Zichen Zhang et al.
Von Mises Mixture Distributions for Molecular Conformation Generation
Kirk Swanson, Jake Lawrence Williams, Eric M Jonas
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap
Hang Wang, Sen Lin, Junshan Zhang
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks
Xu Chu, Yujie Jin, Xin Wang et al.
Weakly Supervised Regression with Interval Targets
Xin Cheng, Yuzhou Cao, Ximing Li et al.
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes
Zhaowei Zhu, Yuanshun Yao, Jiankai Sun et al.
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees
Shenghao Yang, Kimon Fountoulakis
Weighted Sampling without Replacement for Deep Top-$k$ Classification
Dieqiao Feng, Yuanqi Du, Carla P Gomes et al.
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality
Dhruv Malik, Conor Igoe, Yuanzhi Li et al.