Stochastic Processes

Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 Safe Collaborative Filtering ICLR 2024 Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading NeurIPS 2024 Sample Efficient Learning of Factored Embeddings of Tensor Fields AISTATS 2024 Sampling from the Mean-Field Stationary Distribution COLT 2024 Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization ICLR 2024 Scalable Meta-Learning with Gaussian Processes AISTATS 2024 Score-based 3D molecule generation with neural fields NeurIPS 2024 Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation IJCAI 2024 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024 Self-Supervised 3D Human Mesh Recovery from a Single Image with Uncertainty-Aware Learning AAAI 2024 Sequential and Repetitive Pattern Learning for Temporal Knowledge Graph Reasoning COLING 2024 Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference AISTATS 2024 SGD vs GD: Rank Deficiency in Linear Networks NeurIPS 2024 Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024 Simple Cycle Reservoirs are Universal JMLR 2024 Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity ICLR 2024 SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text SemEval 2024 Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NeurIPS 2024 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NeurIPS 2024 Social Physics Informed Diffusion Model for Crowd Simulation AAAI 2024 Soft-constrained Schrödinger Bridge: a Stochastic Control Approach AISTATS 2024 Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint AISTATS 2024 Some Constructions of Private, Efficient, and Optimal K-Norm and Elliptic Gaussian Noise COLT 2024 Space and time continuous physics simulation from partial observations ICLR 2024