Papers
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
Wesley Suttle, Vipul Kumar Sharma, Krishna Chaitanya Kosaraju et al.
Scalable Algorithms for Individual Preference Stable Clustering
Ron Mosenzon, Ali Vakilian
Scalable Higher-Order Tensor Product Spline Models
David Ruegamer
Scalable Learning of Item Response Theory Models
Susanne Frick, Amer Krivosija, Alexander Munteanu
Scalable Meta-Learning with Gaussian Processes
Petru Tighineanu, Lukas Grossberger, Paul Baireuther et al.
Score Operator Newton transport
Nisha Chandramoorthy, Florian T Schaefer, Youssef M Marzouk
SDEs for Minimax Optimization
Enea Monzio Compagnoni, Antonio Orvieto, Hans Kersting et al.
SDMTR: A Brain-inspired Transformer for Relation Inference
Xiangyu Zeng, Jie Lin, Piao Hu et al.
Self-Compatibility: Evaluating Causal Discovery without Ground Truth
Philipp M. Faller, Leena C. Vankadara, Atalanti A. Mastakouri et al.
Self-Supervised Quantization-Aware Knowledge Distillation
Kaiqi Zhao, Ming Zhao
Sequence Length Independent Norm-Based Generalization Bounds for Transformers
Jacob Trauger, Ambuj Tewari
Sequential learning of the Pareto front for multi-objective bandits
élise crepon, Aurélien Garivier, Wouter M Koolen
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
Declan McNamara, Jackson Loper, Jeffrey Regier
Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations
Krzysztof Kacprzyk, Mihaela van der Schaar
Sharpened Lazy Incremental Quasi-Newton Method
Aakash Sunil Lahoti, Spandan Senapati, Ketan Rajawat et al.
Sharp error bounds for imbalanced classification: how many examples in the minority class?
Anass Aghbalou, Anne Sabourin, François Portier
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
Yann Fraboni, Martin Van Waerebeke, Kevin Scaman et al.
Simple and scalable algorithms for cluster-aware precision medicine
Amanda M. Buch, Conor Liston, Logan Grosenick
Simulating weighted automata over sequences and trees with transformers
Michael Rizvi-Martel, Maude Lizaire, Clara Lacroce et al.
Simulation-Based Stacking
Yuling Yao, Bruno Régaldo-Saint Blancard, Justin Domke
Simulation-Free Schrödinger Bridges via Score and Flow Matching
Alexander Y. Tong, Nikolay Malkin, Kilian Fatras et al.
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm
Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue et al.
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning
Zeqi Ye, Hansheng Jiang
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach
Jhanvi Garg, Xianyang Zhang, Quan Zhou