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๐Ÿ“ Compression Bounds

Shannon Limits, Kolmogorov Complexity, Optimal Coding Theory, Information Mathematics

Data Compression with Relative Entropy Coding
arxiv.orgยท2d
๐Ÿ“Compression Mathematics
Fast Rate Information-theoretic Bounds on Generalization Errors
arxiv.orgยท1d
โง—Information Bottleneck
Greedy Is Good. Less Greedy May Be Better
gojiberries.ioยท13hยท
Discuss: Hacker News
๐ŸงฎKolmogorov Complexity
A large deviation view of \emph{stationarized} fully lifted blirp interpolation
arxiv.orgยท10h
๐Ÿ“ŠRate-Distortion Theory
Algorithm Complexity: Time, Space, and Big-O Notation
dev.toยท4hยท
Discuss: DEV
๐ŸงฎKolmogorov Complexity
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.orgยท10h
๐ŸŒ€Fractal Compression
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.orgยท1d
โšกModern Compression
How much slower is random access, really?
samestep.comยท1dยท
Discuss: Hacker News
๐Ÿ“ผTape Encoding
On the convergence of computational methods for the online bin stretching problem
arxiv.orgยท1d
๐ŸŽฏPerformance Proofs
From Zero to One: A Complete Guide to Implementing WeChat Sharing in HarmonyOS
dev.toยท5hยท
Discuss: DEV
โšกModern Compression
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences
arxiv.orgยท1d
๐Ÿง Neural Codecs
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.orgยท10h
๐Ÿ’ปLocal LLMs
Video Compression for Spatiotemporal Earth System Data
arxiv.orgยท10h
๐Ÿ“ŠRate-Distortion Theory
Machine Learning Fundamentals: accuracy with python
dev.toยท22hยท
Discuss: DEV
๐Ÿ‘๏ธObservatory Systems
A Principled Approach to Randomized Selection under Uncertainty
arxiv.orgยท10h
๐ŸŒธBloom Variants
Distribution of codewords on the faces of a hypercube and new combinatorial identities
arxiv.orgยท1d
โšฝSphere Packing
UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.orgยท1d
๐Ÿ—œ๏ธLZW Variants
Weakly Private Information Retrieval from Heterogeneously Trusted Servers
arxiv.orgยท2d
๐Ÿ“ŠCompression Proofs
Floating-Point Data Transformation for Lossless Compression
arxiv.orgยท1d
๐ŸŒŠStreaming Compression
The Power of Strong Linearizability: the Difficulty of Consistent Refereeing
arxiv.orgยท1d
๐ŸŽฏPerformance Proofs
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