A spectral algorithm with minimax-optimal guarantees is proposed for directly estimating bilinear forms in Tucker2 tensor panels with staggered-adoption missingness.
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AdaPaD performs parallel low-rank adaptation with self-correcting deflation targets and dynamic per-module rank growth, yielding competitive GLUE and SQuAD results at 30% smaller average adapter size.
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Direct and efficient estimation of bilinear forms in staggered tensor panels
A spectral algorithm with minimax-optimal guarantees is proposed for directly estimating bilinear forms in Tucker2 tensor panels with staggered-adoption missingness.
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AdaPaD: Adaptive Parallel Deflation for PEFT with Self-Correcting Rank Discovery
AdaPaD performs parallel low-rank adaptation with self-correcting deflation targets and dynamic per-module rank growth, yielding competitive GLUE and SQuAD results at 30% smaller average adapter size.