Probabilistic Modeling

Concentric mixtures of Mallows models for top-k rankings: sampling and identifiability ICML 2021 Context-Aware Online Collective Inference for Templated Graphical Models ICML 2021 Continuous-time edge modelling using non-parametric point processes NeurIPS 2021 Contrastive Divergence Learning is a Time Reversal Adversarial Game ICLR 2021 Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization ICLR 2021 Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities NeurIPS 2021 Couplings for Multinomial Hamiltonian Monte Carlo AISTATS 2021 Credal Self-Supervised Learning NeurIPS 2021 Cross-structural Factor-topic Model: Document Analysis with Sophisticated Covariates ACML 2021 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021 Deep Probabilistic Canonical Correlation Analysis AAAI 2021 Detecting Anomalous Event Sequences with Temporal Point Processes NeurIPS 2021 Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021 Directed Probabilistic Watershed NeurIPS 2021 Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series AAAI 2021 Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model ICML 2021 Efficient Sampling of Dependency Structure EMNLP 2021 Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes ICML 2021 Estimating the Unique Information of Continuous Variables NeurIPS 2021 Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo ICML 2021 Event and Entity Coreference using Trees to Encode Uncertainty in Joint Decisions EMNLP 2021 Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions NeurIPS 2021 Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics ICML 2021 Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds NeurIPS 2021 Fitting summary statistics of neural data with a differentiable spiking network simulator NeurIPS 2021