Co-occurring keywords · papers mentioning both
Papers
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
AAAI 2025
Leveraging Per-Instance Privacy for Machine Unlearning
ICML 2025
Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity
JMLR 2025
Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms
JMLR 2025
Risk-sensitive control as inference with Rényi divergence
NeurIPS 2024
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence
NeurIPS 2022
Reward-Free Policy Space Compression for Reinforcement Learning
AISTATS 2022
A Discriminative Technique for Multiple-Source Adaptation
ICML 2021
A Universal Multi-Speaker Multi-Style Text-to-Speech via Disentangled Representation Learning Based on Rényi Divergence Minimization
Interspeech 2021
Uncertainty-aware sensitivity analysis using Rényi divergences
UAI 2021
Asymptotic Consistency of α-Rényi-Approximate Posteriors
JMLR 2020
Differentially Private Markov Chain Monte Carlo
NeurIPS 2019
PAC-Bayesian Bounds based on the Rényi Divergence
AISTATS 2016
Rényi Divergence Variational Inference
NeurIPS 2016