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Stochastic Processes

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Papers

Pseudo-Marginal Hamiltonian Monte Carlo JMLR 2021 Putting a Compass on the Map of Elections IJCAI 2021 Putting the “Learning" into Learning-Augmented Algorithms for Frequency Estimation ICML 2021 q-Paths: Generalizing the geometric annealing path using power means UAI 2021 Quantum Tensor Networks, Stochastic Processes, and Weighted Automata AISTATS 2021 Randomized Automatic Differentiation ICLR 2021 Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator ICLR 2021 Real-Time Speaker Counting in a Cocktail Party Scenario Using Attention-Guided Convolutional Neural Network Interspeech 2021 Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity EACL 2021 Regret Minimization in Heavy-Tailed Bandits COLT 2021 Regularization in ResNet with Stochastic Depth NeurIPS 2021 RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding EACL 2021 Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective AAAI 2021 Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits AAAI 2021 Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation NeurIPS 2021 Risk-Aware Transfer in Reinforcement Learning using Successor Features NeurIPS 2021 RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting ICML 2021 Robust Contextual Bandits via Bootstrapping AAAI 2021 Robustness between the worst and average case NeurIPS 2021 Scalable Bayesian GPFA with automatic relevance determination and discrete noise models NeurIPS 2021 Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation NeurIPS 2021 Scalable Normalizing Flows for Permutation Invariant Densities ICML 2021 Scaling Gaussian Processes with Derivative Information Using Variational Inference NeurIPS 2021 Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting UAI 2021 Score-based Generative Neural Networks for Large-Scale Optimal Transport NeurIPS 2021