Stochastic Processes

Uncertainty quantification using martingales for misspecified Gaussian processes ALT 2021 Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory JMLR 2021 Understanding the Effect of Stochasticity in Policy Optimization NeurIPS 2021 Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors CoRL 2021 Variance-dependent best arm identification UAI 2021 Variance Reduced Training with Stratified Sampling for Forecasting Models ICML 2021 Variational Inference for Continuous-Time Switching Dynamical Systems NeurIPS 2021 Variational Inference MPC using Tsallis Divergence RSS 2021 Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels NeurIPS 2021 What Are Bayesian Neural Network Posteriors Really Like? ICML 2021 When in Doubt: Improving Classification Performance with Alternating Normalization EMNLP 2021 When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021 Word Competition: An Entropy-Based Approach in the DIANA Model of Human Word Comprehension Interspeech 2021 3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training AAAI 2020 Accelerating the diffusion-based ensemble sampling by non-reversible dynamics ICML 2020 A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020 AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients NeurIPS 2020 Adaptive Double-Exploration Tradeoff for Outlier Detection AAAI 2020 Adaptive Online Estimation of Piecewise Polynomial Trends NeurIPS 2020 Aggregated Gradient Langevin Dynamics AAAI 2020 Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract) IJCAI 2020 AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020 All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference ICML 2020 Almost Tune-Free Variance Reduction ICML 2020 AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC AISTATS 2020