Stochastic Processes

Dynamic Structured Neural Topic Model with Self-Attention Mechanism ACL 2023 Effects of Tonal Coarticulation and Prosodic Positions on Tonal Contours of Low Rising Tones: In the Case of Xiamen Dialect Interspeech 2023 Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling ICML 2023 Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination NeurIPS 2023 Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks NeurIPS 2023 Efficient Training of Energy-Based Models Using Jarzynski Equality NeurIPS 2023 End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023 Energy-Based Models for Functional Data using Path Measure Tilting AISTATS 2023 Energy-Based Test Sample Adaptation for Domain Generalization ICLR 2023 Entropy-based Training Methods for Scalable Neural Implicit Samplers NeurIPS 2023 Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs NeurIPS 2023 Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NeurIPS 2023 Error Estimation for Random Fourier Features AISTATS 2023 Experiment Planning with Function Approximation NeurIPS 2023 Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023 Exploiting Correlated Auxiliary Feedback in Parameterized Bandits NeurIPS 2023 Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023 FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023 Fast Computation of Branching Process Transition Probabilities via ADMM AISTATS 2023 Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions NeurIPS 2023 Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction ICCV 2023 Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond NeurIPS 2023 Finding Safe Zones of Markov Decision Processes Policies NeurIPS 2023 Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023 Fisher-Legendre (FishLeg) optimization of deep neural networks ICLR 2023