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20192026
most citedSeparating k-Player from t-Player One-Way Communication, with Applications to Data Streams

1 citations · 1 across the 3 of their papers we have counts for

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cs.LG2026

TORQUE: Optimizing What (not) to Quantize Before and After Rotation

Ran Ben Basat, Michael Mitzenmacher, Shay Vargaftik

Uniform random rotations are an effective preprocessing step for quantization: they make normalized coordinate distributions approximately Gaussian, enabling the use of codebooks o…

cs.LG2026

Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven

Ran Ben-Basat, William Kuszmaul, Michael Mitzenmacher +2

Uniform random rotations (URRs) are a common preprocessing step in modern quantization approaches used for gradient compression, inference acceleration, KV-cache compression, model…