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Stochastic Processes

2,667 papers

Papers per year

Papers

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection ACL 2021
How is BERT surprised? Layerwise detection of linguistic anomalies ACL 2021
Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction ACL 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation? ACL 2021
YNU-HPCC at SemEval-2021 Task 5: Using a Transformer-based Model with Auxiliary Information for Toxic Span Detection ACL 2021
Simple induction of (deterministic) probabilistic finite-state automata for phonotactics by stochastic gradient descent ACL 2021
Lifelong Learning with Branching Experts ACML 2021
Approximate Message Passing with Spectral Initialization for Generalized Linear Models AISTATS 2021
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes AISTATS 2021
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting AISTATS 2021
Automatic structured variational inference AISTATS 2021
Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021
Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size AISTATS 2021
Maximal Couplings of the Metropolis-Hastings Algorithm AISTATS 2021
Inference in Stochastic Epidemic Models via Multinomial Approximations AISTATS 2021
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling AISTATS 2021
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers AISTATS 2021
Sparse Algorithms for Markovian Gaussian Processes AISTATS 2021
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations AISTATS 2021
Moment-Based Variational Inference for Stochastic Differential Equations AISTATS 2021
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features AISTATS 2021
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss AISTATS 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata AISTATS 2021