Co-occurring keywords · papers mentioning both
Papers
Information Theoretic Bayesian Optimization over the Probability Simplex
UAI 2026
Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process Classification
UAI 2026
Constrained Belief Updates Explain Geometric Structures in Transformer Representations
ICML 2025
Deep-Simplex Multichannel Speech Separation
Interspeech 2025
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
UAI 2025
Optimization Over a Probability Simplex
JMLR 2025
Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
ICLR 2025
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex
AISTATS 2024
Learning Discrete-Time Major-Minor Mean Field Games
AAAI 2024
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes
ICML 2023
Double Spike Dirichlet Priors for Structured Weighting
JMLR 2022
Large-Scale Stochastic Sampling from the Probability Simplex
NeurIPS 2018
Generalized Aitchison Embeddings for Histograms
ACML 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transport
NeurIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex
NeurIPS 2013
Proper losses for learning from partial labels
NeurIPS 2012
Recovery of Sparse Probability Measures via Convex Programming
NeurIPS 2012