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Linear Bandits
Linear Bandits
PulseAugur coverage of Linear Bandits — every cluster mentioning Linear Bandits across labs, papers, and developer communities, ranked by signal.
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New lower bound shows bandit convex optimization is harder than linear bandits
Researchers have established a new lower bound for bandit convex optimization, demonstrating that it is fundamentally more complex than linear bandits. The study introduces a novel class of convex functions that reveal …
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New bandit algorithms research tackles heavy tails and non-stationarity · 4 sources tracked
Three new research papers explore advancements in bandit algorithms. One paper analyzes the regret of Thompson sampling in linear-Gaussian bandits, showing a decoupling of prior-dependent and minimax regret terms. Anoth…