Papers
4,025 papers found
Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases
Ruslan Nazykov, Aleksandr Shestakov, Vladimir Solodkin et al.
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements
Emmanouil Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Yudong Chen et al.
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays
Yifu Tang, Yingfei Wang, Zeyu Zheng
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
Wei Shen, Minhui Huang, Jiawei Zhang et al.
Strategic Usage in a Multi-Learner Setting
Eliot Shekhtman, Sarah Dean
Structural perspective on constraint-based learning of Markov networks
Tuukka Korhonen, Fedor Fomin, Pekka Parviainen
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport
Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
Submodular Minimax Optimization: Finding Effective Sets
Loay Raed Mualem, Ethan R Elenberg, Moran Feldman et al.
Subsampling Error in Stochastic Gradient Langevin Diffusions
Kexin Jin, Chenguang Liu, Jonas Latz
Sum-max Submodular Bandits
Stephen U. Pasteris, Alberto Rumi, Fabio Vitale et al.
Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks
Kaiting Liu, Zahra Atashgahi, Ghada Sokar et al.
Surrogate Bayesian Networks for Approximating Evolutionary Games
Vincent Hsiao, Dana S Nau, Bobak Pezeshki et al.
SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification
Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli et al.
Symmetric Equilibrium Learning of VAEs
Boris Flach, Dmitrij Schlesinger, Alexander Shekhovtsov
Tackling the XAI Disagreement Problem with Regional Explanations
Gabriel Laberge, Yann Batiste Pequignot, Mario Marchand et al.
Taming False Positives in Out-of-Distribution Detection with Human Feedback
Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
Ilyas Fatkhullin, Niao He
TenGAN: Pure Transformer Encoders Make an Efficient Discrete GAN for De Novo Molecular Generation
Chen Li, Yoshihiro Yamanishi
Tensor-view Topological Graph Neural Network
Tao Wen, Elynn Chen, Yuzhou Chen
Testing exchangeability by pairwise betting
Aytijhya Saha, Aaditya Ramdas
Testing Generated Distributions in GANs to Penalize Mode Collapse
Yanxiang Gong, Zhiwei Xie, Mei Xie et al.
The AL$\ell_0$CORE Tensor Decomposition for Sparse Count Data
John Hood, Aaron J. Schein
The Effective Number of Shared Dimensions Between Paired Datasets
Hamza Giaffar, Camille Rullán Buxó, Mikio Aoi
The effect of Leaky ReLUs on the training and generalization of overparameterized networks
Yinglong Guo, Shaohan Li, Gilad Lerman