Co-occurring keywords · papers mentioning both
Papers
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
ACL 2026
Test-Time Retrieval-Augmented Adaptation for Vision-Language Models
ICCV 2025
Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures
AAAI 2024
Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples
ALT 2024
Sample-Efficient Private Learning of Mixtures of Gaussians
NeurIPS 2024
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
ICML 2024
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes
NeurIPS 2023
Graph Attention Retrospective
JMLR 2023
Learning Mixtures of Gaussians with Censored Data
ICML 2023
Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models
COLT 2023
A Fourier Approach to Mixture Learning
NeurIPS 2022
Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs
EMNLP 2022
Probabilistic Representations for Video Contrastive Learning
CVPR 2022
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
AAAI 2020
Recovery of a Mixture of Gaussians by Sum-of-Norms Clustering
JMLR 2020
On the Dynamics of Gradient Descent for Autoencoders
AISTATS 2019
Semi-Supervised Transfer Learning for Image Rain Removal
CVPR 2019
The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling
COLT 2019
Variational Smoothing in Recurrent Neural Network Language Models
ICLR 2019
Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard
JMLR 2018
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
NeurIPS 2018
Open problem: Improper learning of mixtures of Gaussians
COLT 2018
Learning Mixture of Gaussians with Streaming Data
NeurIPS 2017
Robust and Proper Learning for Mixtures of Gaussians via Systems of Polynomial Inequalities
COLT 2017
From Noise Modeling to Blind Image Denoising
CVPR 2016