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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation AISTATS 2020
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study NIPS 2020
Robust Optimisation Monte Carlo AISTATS 2020
Safe Linear Stochastic Bandits AAAI 2020
Variational Inference for Sequential Data with Future Likelihood Estimates ICML 2020
On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms JMLR 2020
Stochastic Nested Variance Reduction for Nonconvex Optimization JMLR 2020
Neural Dialogue State Tracking with Temporally Expressive Networks EMNLP 2020
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020
Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics INTERSPEECH 2020
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes NIPS 2020
On the Noisy Gradient Descent that Generalizes as SGD ICML 2020
Monte Carlo Gradient Estimation in Machine Learning JMLR 2020
Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound ICML 2020
Robust Gradient-Based Markov Subsampling AAAI 2020
Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond NIPS 2020
Robust, Accurate Stochastic Optimization for Variational Inference NIPS 2020
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020
“None of the Above”: Measure Uncertainty in Dialog Response Retrieval ACL 2020
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NIPS 2020
The Discrete Gaussian for Differential Privacy NIPS 2020
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020