Papers
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms
Rickard Karlsson, Jh Krijthe
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
Shiyu Wang, Mariam Avagyan, Yihan Shen et al.
Fast and Low-Cost Genomic Foundation Models via Outlier Removal
Haozheng Luo, Chenghao Qiu, Maojiang Su et al.
Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity
Jian-Feng Cai, Zhuozhi Xian, Jiaxi Ying
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu, Cheems Wang, Yixiu Mao et al.
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks
Laines Schmalwasser, Niklas Penzel, Joachim Denzler et al.
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
Zecheng Hao, Qichao Ma, Kang Chen et al.
Faster Approximation Algorithms for k-Center via Data Reduction
Arnold Filtser, Shaofeng H.-C. Jiang, Yi Li et al.
Faster Global Minimum Cut with Predictions
Helia Niaparast, Benjamin Moseley, Karan Singh
Faster Rates for Private Adversarial Bandits
Hilal Asi, Vinod Raman, Kunal Talwar
Faster Stochastic Optimization with Arbitrary Delays via Adaptive Asynchronous Mini-Batching
Amit Attia, Ofir Gaash, Tomer Koren
Fast Estimation of Partial Dependence Functions using Trees
Jinyang Liu, Tessa Steensgaard, Marvin N. Wright et al.
Fast Exact Unlearning for In-Context Learning Data for LLMs
Andrei Ioan Muresanu, Anvith Thudi, Michael R. Zhang et al.
Fast Incomplete Multi-view Clustering by Flexible Anchor Learning
Yalan Qin, Guorui Feng, Xinpeng Zhang
Fast Inference with Kronecker-Sparse Matrices
Antoine Gonon, Léon Zheng, Pascal Carrivain et al.
Fast Large Language Model Collaborative Decoding via Speculation
Jiale Fu, Yuchu Jiang, Junkai Chen et al.
Fast Min-$ε$ Segmented Regression using Constant-Time Segment Merging
Ansgar Lößer, Max Schlecht, Florian Schintke et al.
Fast Tensor Completion via Approximate Richardson Iteration
Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook et al.
Fast Video Generation with Sliding Tile Attention
Peiyuan Zhang, Yongqi Chen, Runlong Su et al.
FDGen: A Fairness-Aware Graph Generation Model
Zichong Wang, Wenbin Zhang
Feasible Action Search for Bandit Linear Programs via Thompson Sampling
Aditya Gangrade, Aldo Pacchiano, Clayton Scott et al.
FeatSharp: Your Vision Model Features, Sharper
Mike Ranzinger, Greg Heinrich, Pavlo Molchanov et al.
Feature Importance Metrics in the Presence of Missing Data
Henrik Von Kleist, Joshua Wendland, Ilya Shpitser et al.
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
Chi-Ning Chou, Hang Le, Yichen Wang et al.