arXiv:2502.18709v3 Announce Type: replace-cross Abstract: Online structured prediction is a task of sequentially predicting outputs with complex structures based on inputs and past observations, encompassing online classification. Recent studies showed that in the full-information setting, we can achieve finite bounds on the textit{surrogate regret}, textit{i.e.,}~the extra target loss relative to the best possible surrogate loss. In practice, however, full-information feedback is often unrealistic as it requires immediate access to the whole structure of complex outputs. Motivated by this, […]

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From an AI panda pet to an anime girl hologram for your desk, here are the wildest products at CES 2026.

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How cyclical encoding improves machine learning prediction The post Is Your Model Time-Blind? The Case for Cyclical Feature Encoding appeared first on Towards Data Science.

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Please consider nominating worthy candidates to the Knuth Prize!  The prize is awarded “for major research accomplishments and contributions to the foundations of computer science over an extended period of time.” 2025 Knuth Prize Committee:Noga Alon, Edith Cohen (Chair), David Eppstein, Valerie King, Salil Vadhan, and Moshe Vardi. Deadline:  March 31 https://www.sigact.org/prizes/knuth.html

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AI models can help map species, protect forests and listen to birds around the world

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Crypto contract verification is the definitive proof of identity in the DeFi ecosystem, transforming opaque bytecode into trusted logic. However, the process is often misunderstood, leading to frustration when the “Deterministic Black Box” of the compiler produces mismatching fingerprints. This article demystifies verification by visualizing it as a “Mirror Mechanism,” where local compilation environments must precisely replicate the deployment conditions. We move beyond manual web uploads to establish a robust, automated workflow using CLI tools and the “Standard […]

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