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1043 directly classified papers
Papers per year
2003: 1
2004: 1
2005: 4
2006: 5
2007: 10
2008: 12
2009: 11
2010: 15
2011: 11
2012: 32
2013: 34
2014: 39
2015: 31
2016: 35
2017: 63
2018: 65
2019: 72
2020: 113
2021: 116
2022: 113
2023: 118
2024: 108
2025: 27
2026: 7
Papers
Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method
JMLR 2025
A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese
COLING 2025
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings
COLING 2025
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation
JMLR 2025
Asymptotic Fair Division: Chores Are Easier Than Goods
IJCAI 2025
Safe Online Convex Optimization with Heavy-Tailed Observation Noises
AAAI 2025
Variance-Aware Estimation of Kernel Mean Embedding
JMLR 2025
Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds
JMLR 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
JMLR 2025
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
JMLR 2024
Pure Differential Privacy for Functional Summaries with a Laplace-like Process
JMLR 2024
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps
JMLR 2024
Universal Exact Compression of Differentially Private Mechanisms
NIPS 2024
Structural perspective on constraint-based learning of Markov networks
AISTATS 2024
ROME: Robust Multi-Modal Density Estimator
IJCAI 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX
JMLR 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference
NIPS 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk
NIPS 2024
Online Sampling and Decision Making with Low Entropy
IJCAI 2024
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models
AISTATS 2024
Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence
NIPS 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs
AISTATS 2024
Deep Learning for Computing Convergence Rates of Markov Chains
NIPS 2024
Low Degree Hardness for Broadcasting on Trees
NIPS 2024
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences
IJCAI 2024
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