Unverified50% confidenceFactExact time
Classical robust aggregation rules such as coordinate-wise median, trimmed mean, and Krum suppress the influence of extreme values through statistically robust estimation.
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10/30/2026
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UnverifiedThe paper establishes non-asymptotic, high-probability upper bounds for the convergence of empirical occupation measures to the invariant measure, under the contraction assumption in kernel-induced geometry and the standard spectral gap assumption.67% similarUnverifiedThe paper proves that the logarithmic factor appearing in previous risk bounds is not essential and can be completely eliminated, thereby improving the convergence rate to O(1/√N), consistent with the classical law of large numbers.66% similarUnverifiedThe limiting log marginal likelihood derived under the HTMP assumption is a convex function with respect to the heavy-tail degree parameter.66% similarUnverifiedA more reliable way to use thresholds is to combine relative ranking (such as keeping passages in the top K results whose scores are significantly higher than the rest) with verification-based judgment (having the model judge whether a passage truly supports the answer), rather than relying on a single static threshold.66% similarUnverifiedThe Hellinger modulus integrates the difference of the square roots of the distribution densities, and compared with KL divergence, it is bounded and often yields tighter constant bounds in the derivation of minimax lower bounds for nonparametric estimation.65% similar
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