Papers
Solving Attention Kernel Regression Problem via Pre-conditioner
Zhao Song, Junze Yin, Lichen Zhang
Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint
Haoyue Tang, Tian Xie, Aosong Feng et al.
Sparse and Faithful Explanations Without Sparse Models
Yiyang Sun, Zhi Chen, Vittorio Orlandi et al.
Spectrum Extraction and Clipping for Implicitly Linear Layers
Ali Ebrahimpour Boroojeny, Matus Telgarsky, Hari Sundaram
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
Subhojyoti Mukherjee, Qiaomin Xie, Josiah P Hanna et al.
Stochastic Approximation with Biased MCMC for Expectation Maximization
Samuel Gruffaz, Kyurae Kim, Alain Durmus et al.
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
Arman Adibi, Nicolò Dal Fabbro, Luca Schenato et al.
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities
Konstantinos Emmanouilidis, Rene Vidal, Nicolas Loizou
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