6 citations · 9 across the 8 of their papers we have counts for
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stat.ML2019★ 1 cited
An error bound for Lasso and Group Lasso in high dimensions
Antoine Dedieu
We leverage recent advances in high-dimensional statistics to derive new L2 estimation upper bounds for Lasso and Group Lasso in high-dimensions. For Lasso, our bounds scale as $(k…
stat.ML2019★ 6 cited
Learning higher-order sequential structure with cloned HMMs
Antoine Dedieu, Nishad Gothoskar, Scott Swingle +3
Variable order sequence modeling is an important problem in artificial and natural intelligence. While overcomplete Hidden Markov Models (HMMs), in theory, have the capacity to rep…