Stochastic Processes

A Generalizable Physics-informed Learning Framework for Risk Probability Estimation L4DC 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 Aiming towards the minimizers: fast convergence of SGD for overparametrized problems NeurIPS 2023 A Kernel Stein Test of Goodness of Fit for Sequential Models ICML 2023 Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler COLT 2023 Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares ALT 2023 Allocating Divisible Resources on Arms with Unknown and Random Rewards COLT 2023 Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023 Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs NeurIPS 2023 An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge AISTATS 2023 An SDE for Modeling SAM: Theory and Insights ICML 2023 Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods AAAI 2023 Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent NeurIPS 2023 A Rigorous Risk-aware Linear Approach to Extended Markov Ratio Decision Processes with Embedded Learning IJCAI 2023 A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition IJCAI 2023 A State Representation for Diminishing Rewards NeurIPS 2023 A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference AAAI 2023 Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect NeurIPS 2023 Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023 Automatic Integration for Spatiotemporal Neural Point Processes NeurIPS 2023 Autoregressive Networks JMLR 2023 BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation UAI 2023 Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback NeurIPS 2023 Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023 Benchmarking Visual Localization for Autonomous Navigation WACV 2023