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SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples

ICML 2021 · Learning theory and algorithms › Sample complexity · approach: Sample complexity of learning distributions · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use SGA instead of the IS_NON_STAR procedurepartial recovery of Ising tree structures · 12-node chain, noiseless, ρ=0.8error probabilityHelped
Use SGA instead of Chow-Liupartial recovery of Ising tree structures · 12-node chain, noiseless, ρ=0.8error probabilityHurt
Use SGA instead of the IS_NON_STAR procedurepartial recovery of Ising tree structures · 12-node chain, noisy, ρ=0.8, alternate nodes noisy with q_max=0.2error probabilityHelped
Use Chow-Liu on non-identically noisy observationspartial recovery of Ising tree structures · 12-node chain, noisy, ρ=0.8, alternate nodes noisy with q_max=0.2error probability: roughly equal to~$1$Hurt
Use SGA instead of the IS_NON_STAR procedurepartial recovery of Ising tree structures · 12-node hybrid tree, noiseless and noisy, ρ=0.8 and ρ=0.6error probabilityHelped
Use Chow-Liu on non-identically noisy observationspartial recovery of Ising tree structures · 12-node hybrid tree, noisy, ρ=0.8, even nodes noisy with q_max=0.2error probability: ≈ 1Hurt
Use SGA instead of the IS_NON_STAR procedurepartial recovery of Ising tree structures · 12-node star, noiseless and noisy, ρ=0.6error probabilityHelped
Use SGA instead of the IS_NON_STAR procedure4-node homogeneous Markov chain · noiseless, ρ < 0.6error exponentHelped
Use SGA instead of the IS_NON_STAR procedure4-node homogeneous Markov chain · noiseless, ρ > 0.71error exponentHurt
Use SGA instead of the IS_NON_STAR procedure4-node homogeneous Markov chain · ρ=0.74, noise near q_max=0error exponentHurt
Use SGA instead of the IS_NON_STAR procedure4-node homogeneous Markov chain · ρ=0.74, relatively higher q_maxerror exponentHelped
Use SGA instead of the IS_NON_STAR procedure4-node homogeneous star · noiseless, all ρerror exponentHelped

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