stochastic process

Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020 Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables ICML 2020 Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020 Expressiveness and Learning of Hidden Quantum Markov Models AISTATS 2020 Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients JMLR 2020 Fast Uniform Dispersion of a Crash-prone Swarm RSS 2020 Graphical continuous Lyapunov models UAI 2020 Improved Techniques for Training Score-Based Generative Models NeurIPS 2020 Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction AAAI 2020 Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions AAAI 2020 Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data IJCAI 2020 Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NeurIPS 2020 Memoryless Sequences for General Losses JMLR 2020 Mixing Time Estimation in Ergodic Markov Chains from a Single Trajectory with Contraction Methods ALT 2020 Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows NeurIPS 2020 Neural Tangents: Fast and Easy Infinite Neural Networks in Python ICLR 2020 On Simulation and Trajectory Prediction with Gaussian Process Dynamics L4DC 2020 On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020 On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method NeurIPS 2020 Probabilistic Video Prediction From Noisy Data With a Posterior Confidence CVPR 2020 Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions NeurIPS 2020 Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NeurIPS 2020 Residual Neural Processes AAAI 2020 Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack AAAI 2020 Simultaneous Inference for Massive Data: Distributed Bootstrap ICML 2020