Unverified50% confidenceFactExact time
For a fixed m, the algorithm achieves an approximation ratio of (1-c_m)/(2-c_m) (ignoring estimation error), and this factor approaches 1/2 as c_m decreases.
1
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50%
Confidence
Long-term
Relevance
11/4/2026
First Seen
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Related Claims
UnverifiedOn a well-conditioned zero-predictor family, the optimal B-bit compression yields a mean single-step update error on the order of d^{-1}·2^{-2B/s_d}, where s_d=d(d+1)/2.74% similarUnverifiedUnder the assumption that the true mapping is uniformly random, the paper proves a lower bound on the error rate of E ≥ (M/N)δ*(B/M) + (1-M/N)(1-1/K).73% similarUnverifiedUnder the total variation metric, the average error is Õ_p(n^(−β/(d_x+d_y+2β))).67% similarUnverifiedUnder the AM-GM optimal solution, the product of the minimum achievable variance and the budget equals (sqrt(a*tau^2) + sqrt(b*sigma^2))^2.66% similarUnverifiedAt M=8, the operator learned by LIPS-PC outperforms the best fixed transform (such as 2D-DCT) by 9-15 percentage points on all three datasets.66% similar
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