Stochastic Processes

Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon JMLR 2022 Logical Credal Networks NeurIPS 2022 Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022 LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022 Making SGD Parameter-Free COLT 2022 Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022 Marginalized Operators for Off-policy Reinforcement Learning AISTATS 2022 Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022 Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients NeurIPS 2022 Matching Normalizing Flows and Probability Paths on Manifolds ICML 2022 Maximum Consensus by Weighted Influences of Monotone Boolean Functions CVPR 2022 Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks JMLR 2022 Memory Augmented Optimizers for Deep Learning ICLR 2022 Metrics of Calibration for Probabilistic Predictions JMLR 2022 Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling JMLR 2022 Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022 MisConv: Convolutional Neural Networks for Missing Data WACV 2022 Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo NeurIPS 2022 Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors AAAI 2022 Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity NAACL 2022 Modeling Irregular Time Series with Continuous Recurrent Units ICML 2022 Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022 Multiclass classification for Hawkes processes UAI 2022 Multi-fidelity Monte Carlo: a pseudo-marginal approach NeurIPS 2022 Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022