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cs.LG2026
Mixing Makes Markovian Contexts Cheap for Linear Bandits
Kaan Buyukkalayci, Osama Hanna, Christina Fragouli
Recent work shows that when contexts are drawn i.i.d., linear contextual bandits can be reduced to single-context linear bandits. This ``contexts are cheap'' perspective is highly…
cs.LG2025
ICQuant: Index Coding enables Low-bit LLM Quantization
Xinlin Li, Osama Hanna, Christina Fragouli +1
The rapid deployment of Large Language Models (LLMs) highlights the need for efficient low-bit post-training quantization (PTQ), due to their high memory costs. A key challenge in…