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Stochastic Processes

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Papers

Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model NeurIPS 2020 Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes CoRL 2020 Torch-Struct: Deep Structured Prediction Library ACL 2020 Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning NeurIPS 2020 Toward universal testing of dynamic network models ALT 2020 Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors EMNLP 2020 Truth or backpropaganda? An empirical investigation of deep learning theory ICLR 2020 Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020 Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models ICLR 2020 Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020 Understanding Neural Abstractive Summarization Models via Uncertainty EMNLP 2020 Unsupervised Discovery of Recurring Speech Patterns Using Probabilistic Adaptive Metrics Interspeech 2020 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference ICML 2020 Variational Inference for Sequential Data with Future Likelihood Estimates ICML 2020 Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation ICLR 2020 Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition AAAI 2020 Walsh-Hadamard Variational Inference for Bayesian Deep Learning NeurIPS 2020 Why are Adaptive Methods Good for Attention Models? NeurIPS 2020 Why bigger is not always better: on finite and infinite neural networks ICML 2020 Zap Q-Learning With Nonlinear Function Approximation NeurIPS 2020 3D Backscatter Localization for Fine-Grained Robotics NSDI 2019 A Bayesian Perspective on the Deep Image Prior CVPR 2019 Accuracy-Memory Tradeoffs and Phase Transitions in Belief Propagation COLT 2019 Accurate Layerwise Interpretable Competence Estimation NeurIPS 2019