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← Mathematics & Optimization
Mathematics & Optimization
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Probability
94 directly classified papers
Subtopics
Stochastic Processes (373)
Papers per year
2007: 3
2008: 4
2009: 3
2010: 4
2011: 5
2012: 7
2013: 4
2014: 5
2016: 2
2017: 5
2018: 1
2019: 8
2020: 2
2021: 8
2022: 3
2023: 9
2024: 18
2025: 3
Papers
SConU: Selective Conformal Uncertainty in Large Language Models
ACL 2025
Language Model Probabilities are Not Calibrated in Numeric Contexts
ACL 2025
Generalized multi-view model: Adaptive density estimation under low-rank constraints
JMLR 2025
Resolution Limit of Single-Photon LiDAR
CVPR 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
NIPS 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
NIPS 2024
Learning Distributions on Manifolds with Free-Form Flows
NIPS 2024
3D Gaussian Splatting as Markov Chain Monte Carlo
NIPS 2024
Probabilities of Causation with Nonbinary Treatment and Effect
AAAI 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
NIPS 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation
NIPS 2024
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
NIPS 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
NIPS 2024
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
NIPS 2024
Breaking the curse of dimensionality in structured density estimation
NIPS 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization
AISTATS 2024
Low Degree Hardness for Broadcasting on Trees
NIPS 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
NIPS 2024
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach
AAAI 2024
Stable Implementation of Probabilistic ODE Solvers
JMLR 2024
Probabilistic size-and-shape functional mixed models
NIPS 2024
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
COLT 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
ICML 2023
On the Estimation of Gaussian Mixture Copula Models
ICML 2023
Mixture Proportion Estimation Beyond Irreducibility
ICML 2023
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