Probability
1,250 papers
Papers per year
1
1
4
5
10
12
11
16
13
33
34
42
35
38
63
65
75
111
122
120
132
168
117
22
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Papers
How to Compute the Probability of a Word
EMNLP 2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
NeurIPS 2024
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD
ICML 2024
Improved algorithm and bounds for successive projection
ICLR 2024
Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization
ICML 2024
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence
NeurIPS 2024
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
ICML 2024
Information-Theoretic Thresholds for the Alignments of Partially Correlated Graphs
COLT 2024
Is Score Matching Suitable for Estimating Point Processes?
NeurIPS 2024
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
JMLR 2024
Kernel Semi-Implicit Variational Inference
ICML 2024
Kernel Thinning
JMLR 2024
Learning Elastic Costs to Shape Monge Displacements
NeurIPS 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning
AAAI 2024
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
NeurIPS 2024
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis
ICML 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk
NeurIPS 2024
Lookback Prophet Inequalities
NeurIPS 2024
Low Degree Hardness for Broadcasting on Trees
NeurIPS 2024
Low-degree phase transitions for detecting a planted clique in sublinear time
COLT 2024
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
NeurIPS 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
NeurIPS 2024
Mean Estimation in the Add-Remove Model of Differential Privacy
ICML 2024
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
NeurIPS 2024
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
AISTATS 2024