Papers
A Fast Optimistic Method for Monotone Variational Inequalities
Michael Sedlmayer, Dang-Khoa Nguyen, Radu Ioan Bot
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel
Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland
A Flexible Diffusion Model
Weitao Du, He Zhang, Tao Yang et al.
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback
Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu et al.
A Fully First-Order Method for Stochastic Bilevel Optimization
Jeongyeol Kwon, Dohyun Kwon, Stephen Wright et al.
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems
Oliver Slumbers, David Henry Mguni, Stefano B Blumberg et al.
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He, Bryan Hooi, Thomas Laurent et al.
A General Representation Learning Framework with Generalization Performance Guarantees
Junbiao Cui, Jianqing Liang, Qin Yue et al.
A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
Yifan Chen, Rentian Yao, Yun Yang et al.
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
Shengchao Liu, Weitao Du, Zhi-Ming Ma et al.
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
Hongyi Pan, Xin Zhu, Salih Furkan Atici et al.
A Kernel-Based View of Language Model Fine-Tuning
Sadhika Malladi, Alexander Wettig, Dingli Yu et al.
A Kernelized Stein Discrepancy for Biological Sequences
Alan Nawzad Amin, Eli N Weinstein, Debora Susan Marks
A Kernel Stein Test of Goodness of Fit for Sequential Models
Jerome Baum, Heishiro Kanagawa, Arthur Gretton
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression
Victor Dheur, Souhaib Ben Taieb
A Law of Robustness beyond Isoperimetry
Yihan Wu, Heng Huang, Hongyang Zhang
Algorithmic Collective Action in Machine Learning
Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner et al.
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
Anant Raj, Lingjiong Zhu, Mert Gurbuzbalaban et al.
Algorithms for bounding contribution for histogram estimation under user-level privacy
Yuhan Liu, Ananda Theertha Suresh, Wennan Zhu et al.
Aligning Language Models with Preferences through $f$-divergence Minimization
Dongyoung Go, Tomasz Korbak, Germàn Kruszewski et al.
All in a Row: Compressed Convolution Networks for Graphs
Junshu Sun, Shuhui Wang, Xinzhe Han et al.
Alternately Optimized Graph Neural Networks
Haoyu Han, Xiaorui Liu, Haitao Mao et al.
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
Chao Li, Junhua Zeng, Chunmei Li et al.
A Mathematical Model for Curriculum Learning for Parities
Elisabetta Cornacchia, Elchanan Mossel
A Model-Based Method for Minimizing CVaR and Beyond
Si Yi Meng, Robert M. Gower