Stochastic Processes

On the Robustness of CountSketch to Adaptive Inputs ICML 2022 On the SDEs and Scaling Rules for Adaptive Gradient Algorithms NeurIPS 2022 On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels NeurIPS 2022 On the Theoretical Properties of Noise Correlation in Stochastic Optimization NeurIPS 2022 Optimal and instance-dependent guarantees for Markovian linear stochastic approximation COLT 2022 Optimal Control with Learning on the Fly: System with Unknown Drift L4DC 2022 Orientation Estimation of Abdominal Ultrasound Images with Multi-Hypotheses Networks MIDL 2022 Overcoming The Spectral Bias of Neural Value Approximation ICLR 2022 P3IV: Probabilistic Procedure Planning From Instructional Videos With Weak Supervision CVPR 2022 Parallel MCMC Without Embarrassing Failures AISTATS 2022 Parallel Tempering With a Variational Reference NeurIPS 2022 Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization ICLR 2022 PathFlow: A normalizing flow generator that finds transition paths UAI 2022 Path Integral Sampler: A Stochastic Control Approach For Sampling ICLR 2022 Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks NeurIPS 2022 Phase Vocoder For Time Stretch Based On Center Frequency Estimation Interspeech 2022 Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data IJCAI 2022 Policy Smoothing for Provably Robust Reinforcement Learning ICLR 2022 Power-Law Escape Rate of SGD ICML 2022 Predictive Querying for Autoregressive Neural Sequence Models NeurIPS 2022 PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022 Privacy Implications of Shuffling ICLR 2022 Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss NeurIPS 2022 Probing BERT’s priors with serial reproduction chains ACL 2022 Proximal and Federated Random Reshuffling ICML 2022