Co-occurring keywords · papers mentioning both
Papers
Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach
CLeaR 2026
Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog
EMNLP 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
WACV 2025
Bottleneck-Minimal Indexing for Generative Document Retrieval
ICML 2024
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
CVPR 2024
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models
NeurIPS 2024
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!
ICML 2024
Slicing Mutual Information Generalization Bounds for Neural Networks
ICML 2024
Lossy Image Compression With Quantized Hierarchical VAEs
WACV 2023
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
AISTATS 2022
An Information-Theoretic Justification for Model Pruning
AISTATS 2022
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning
NeurIPS 2022
Domain Generalization without Excess Empirical Risk
NeurIPS 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
NeurIPS 2022
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms
COLT 2022
Regret Bounds for Information-Directed Reinforcement Learning
NeurIPS 2022
SoFaiR: Single Shot Fair Representation Learning
IJCAI 2022
Deciding What to Learn: A Rate-Distortion Approach
ICML 2021
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization
AAAI 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks
CVPR 2021
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
ICML 2021
The Value of Information When Deciding What to Learn
NeurIPS 2021
Information-Theoretic Understanding of Population Risk Improvement with Model Compression
AAAI 2020
Parameterized Rate-Distortion Stochastic Encoder
ICML 2020
Information Theoretic lower bounds on negative log likelihood
ICLR 2019