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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Stochastic Processes
2667 directly classified papers
Papers per year
2003: 4
2004: 1
2005: 2
2006: 9
2007: 11
2008: 17
2009: 18
2010: 30
2011: 36
2012: 37
2013: 50
2014: 56
2015: 60
2016: 77
2017: 132
2018: 154
2019: 211
2020: 244
2021: 311
2022: 279
2023: 376
2024: 326
2025: 157
2026: 69
Papers
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
JMLR 2022
Three rates of convergence or separation via U-statistics in a dependent framework
JMLR 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations
JMLR 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials
JMLR 2022
Mappings for Marginal Probabilities with Applications to Models in Statistical Physics
JMLR 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling
JMLR 2022
Kernel Autocovariance Operators of Stationary Processes: Estimation and Convergence
JMLR 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations
JMLR 2022
Metrics of Calibration for Probabilistic Predictions
JMLR 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks
JMLR 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training
JMLR 2022
Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape
JMLR 2022
Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach
IJCAI 2022
AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society
IJCAI 2022
Invasion Dynamics in the Biased Voter Process
IJCAI 2022
Dynamic Bandits with Temporal Structure
IJCAI 2022
DDDM: A Brain-Inspired Framework for Robust Classification
IJCAI 2022
HashNWalk: Hash and Random Walk Based Anomaly Detection in Hyperedge Streams
IJCAI 2022
Multi-Proxy Learning from an Entropy Optimization Perspective
IJCAI 2022
Recent Advances in Concept Drift Adaptation Methods for Deep Learning
IJCAI 2022
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data
IJCAI 2022
Discrete Probabilistic Inverse Optimal Transport
ICML 2022
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty
ICML 2022
Dynamic Topic Models for Temporal Document Networks
ICML 2022
On the Robustness of CountSketch to Adaptive Inputs
ICML 2022
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