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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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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
Online Saddle Point Tracking with Decision-Dependent Data
L4DC 2023
TiDAL: Learning Training Dynamics for Active Learning
ICCV 2023
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations
L4DC 2023
Spectral Evolution and Invariance in Linear-width Neural Networks
NIPS 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers
NIPS 2023
Why think step by step? Reasoning emerges from the locality of experience
NIPS 2023
Online robust non-stationary estimation
NIPS 2023
Continuous Parametric Optical Flow
NIPS 2023
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond
NIPS 2023
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning
AAAI 2023
Neural Diffeomorphic Non-uniform B-spline Flows
AAAI 2023
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
NIPS 2023
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models
ICML 2023
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent
NIPS 2023
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
ICML 2023
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks
NIPS 2023
Variational Autoencoding Neural Operators
ICML 2023
Benefits of monotonicity in safe exploration with Gaussian processes
UAI 2023
Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators
AAAI 2023
Neural Spline Search for Quantile Probabilistic Modeling
AAAI 2023
A dynamic model of lexical experience for tracking of oral reading fluency
ACL 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
NIPS 2023
Metropolis Sampling for Constrained Diffusion Models
NIPS 2023
Perception for General-purpose Robot Manipulation
AAAI 2023
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
NIPS 2023
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