← Optimization & Theory
Machine Learning › Optimization & Theory ›

Stochastic Processes

2667 directly classified papers

Papers per year

Papers

Deterministic Mini-batch Sequencing for Training Deep Neural Networks AAAI 2021
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting AAAI 2021
Perception Beyond Sensors Under Uncertainty AAAI 2021
Expected Eligibility Traces AAAI 2021
K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management AAAI 2021
Factorising Meaning and Form for Intent-Preserving Paraphrasing ACL 2021
How is BERT surprised? Layerwise detection of linguistic anomalies ACL 2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection ACL 2021
Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training EMNLP 2021
Iterative Connecting Probability Estimation for Networks NIPS 2021
Online Multi-Armed Bandits with Adaptive Inference NIPS 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NIPS 2021
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems NIPS 2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data NIPS 2021
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination NIPS 2021
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling NIPS 2021
Making the most of your day: online learning for optimal allocation of time NIPS 2021
Numerical Composition of Differential Privacy NIPS 2021
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees NIPS 2021
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs) NIPS 2021
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent NIPS 2021
Adaptive Machine Unlearning NIPS 2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes NIPS 2021
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform NIPS 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling NIPS 2021