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Related Articles from SNS
Near-Optimal Private Tests for Simple and MLR Hypotheses
Announce Type: replace-cross Abstract: We develop a near-optimal testing procedure under the framework of Gaussian differential privacy for simple as well as one- and two-sided tests under monotone likelihood ratio conditions. Our mechanism is based on a private mean estimator with data-driven clamping bounds, whose population risk matches the private minimax rate up to logarithmic factors. Using this estimator, we construct private test statistics that achieve the same asymptotic relative...
Very Early Cortical Auditory Responses to Speech in Humans
A foundational measure of the auditory system's ability to process sound correctly is the auditory brainstem response (ABR) and middle latency response (MLR) complex, but how they vary with stimulus complexity and behavioral relevance is not well understood. To address these issues, we recorded noninvasive electromagnetic temporal response functions (TRFs) in healthy, young adults listening to both clicks and naturalistic speech. Through a source analysis of the responses, we found that the...
Customizing the Inductive Biases of Softmax Attention using Structured Matrices
arXiv:2509.07963v2 Announce Type: replace Abstract: The core component of attention is the scoring function, which transforms the inputs into low-dimensional queries and keys and takes the dot product of each pair. While the low-dimensional projection improves efficiency, it causes information loss for certain tasks that have intrinsically high-dimensional inputs. Additionally, attention uses the same scoring function for all input pairs, without imposing a distance-dependent compute bias...
Multi-Level Barriers to Generative AI Adoption Across Disciplines and Professional Roles in Higher Education
arXiv:2603.27052v3 Announce Type: replace Abstract: Generative Artificial Intelligence (GenAI) is rapidly reshaping higher education, yet barriers to its adoption across different disciplines and institutional roles remain underexplored. Existing literature frequently attributes adoption barriers to individual-level factors such as perceived usefulness and ease of use. This study instead investigates whether such barriers are structurally produced.