Papers
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging
Amartya Banerjee, Harlin Lee, Nir Sharon et al.
Elastic Representation: Mitigating Spurious Correlations for Group Robustness
Tao Wen, Zihan Wang, Quan Zhang et al.
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations
Amir Joudaki, Thomas Hofmann
Empirical Error Estimates for Graph Sparsification
Siyao Wang, Miles E. Lopes
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
Yusuke Tanaka, Takaharu Yaguchi, Tomoharu Iwata et al.
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
Feihu Huang, Chunyu Xuan, Xinrui Wang et al.
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
Maryam Aliakbarpour, Syomantak Chaudhuri, Thomas Courtade et al.
Entropic Matching for Expectation Propagation of Markov Jump Processes
Yannick Eich, Bastian Alt, Heinz Koeppl
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
Chanwoo Chun, SueYeon Chung, Daniel Lee
Estimation of Large Zipfian Distributions with Sort and Snap
Peter Matthew Jacobs, Anirban Bhattacharya, Debdeep Pati et al.
Evaluating Prediction-based Interventions with Human Decision Makers In Mind
Inioluwa Deborah Raji, Lydia T. Liu
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
Fares Fourati, Salma Kharrat, Vaneet Aggarwal et al.
Evidential Uncertainty Probes for Graph Neural Networks
Linlin Yu, Kangshuo Li, Pritom Kumar Saha et al.
Explaining ViTs Using Information Flow
Chase Walker, Md Rubel Ahmed, Sumit Kumar Jha et al.
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment
Qizhang Feng, Siva Rajesh Kasa, SANTHOSH KUMAR KASA et al.
Factor Analysis with Correlated Topic Model for Multi-Modal Data
Małgorzata Łazęcka, Ewa Maria Szczurek
Fairness Risks for Group-Conditionally Missing Demographics
Kaiqi Jiang, Wenzhe Fan, Mao Li et al.
Fair Resource Allocation in Weakly Coupled Markov Decision Processes
Xiaohui Tu, Yossiri Adulyasak, Nima Akbarzadeh et al.
Fast Convergence of Softmax Policy Mirror Ascent
Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji et al.
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
Tong Yang, Jincheng Mei, Hanjun Dai et al.
Feasible Learning
Juan Ramirez, Ignacio Hounie, Juan Elenter et al.
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
Jong-Ik Park, Srinivasa Pranav, Jose M F Moura et al.
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
Rémi Khellaf, Aurélien Bellet, Julie Josse
Federated Communication-Efficient Multi-Objective Optimization
Baris Askin, Pranay Sharma, Gauri Joshi et al.