Stochastic Processes

Diverse Projection Ensembles for Distributional Reinforcement Learning ICLR 2024 Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors NeurIPS 2024 DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering NeurIPS 2024 Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling NeurIPS 2024 Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction Interspeech 2024 Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron NeurIPS 2024 EasyTPP: Towards Open Benchmarking Temporal Point Processes ICLR 2024 EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model ICLR 2024 Efficient Backpropagation with Variance Controlled Adaptive Sampling ICLR 2024 Efficient Graph Matching for Correlated Stochastic Block Models NeurIPS 2024 Efficiently Computing Susceptibility to Context in Language Models EMNLP 2024 Emergence of heavy tails in homogenized stochastic gradient descent NeurIPS 2024 Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods IJCAI 2024 Enhancing Speech and Music Discrimination Through the Integration of Static and Dynamic Features Interspeech 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Entropy-MCMC: Sampling from Flat Basins with Ease ICLR 2024 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024 Errors are Robustly Tamed in Cumulative Knowledge Processes COLT 2024 Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024 Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NeurIPS 2024 Evaluating Dynamic Topic Models ACL 2024 Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG EMNLP 2024 Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024 Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NeurIPS 2024 Exact Inference for Continuous-Time Gaussian Process Dynamics AAAI 2024