arXiv research

New analysis shows rational actors will deploy AGI despite negative social value due to catastrophic risk.

Study uses DNA methylation data to predict suicidal and non-suicidal deaths.

Accurate prediction of suicide risk in mental health patients remains an open problem. Existing methods including clinician judgments have acceptable sensitivity, but yield many false positives. Exploiting administrative data has a great potential, but the data has high dimensionality and redundancies in the recording …

Study identifies risk factors for subsequent suicide attempts in youth.

Study finds fMRI can predict suicidal ideation, but analysis questions results.

Improved forecasting of suicide attempts using LSGPs for patients with little data.

Study identifies key health behaviors linked to adolescent suicide attempts.

New method uses surrogate outcomes and single-record data to improve suicide risk modeling.

Though suicide is a major public health problem in the US, machine learning methods are not commonly used to predict an individual's risk of attempting/committing suicide. In the present work, starting with an anonymized collection of electronic health records for 522,056 unique, California-resident adolescents, we dev…

Neural SDEs model suicide risk with compact state space constraints.

This article presents a novel method for predicting suicidal ideation from Electronic Health Records (EHR) and Ecological Momentary Assessment (EMA) data using deep sequential models. Both EHR longitudinal data and EMA question forms are defined by asynchronous, variable length, randomly-sampled data sequences. In our …

This paper proposes a novel profile likelihood method for estimating the covariance parameters in exploratory factor analysis of high-dimensional Gaussian datasets with fewer observations than number of variables. An implicitly restarted Lanczos algorithm and a limited-memory quasi-Newton method are implemented to deve…

Trans-GLMC tackles source heterogeneity in transfer learning for structured clusters.

Extends multivariate regression for tensor-variate data, identifying brain regions and facial characteristics.

Approach for modeling EHR data with rare features, improving prediction and interpretation.

Equity-Directed Bootstrapping improves model performance across groups in imbalanced datasets.

Detecting depression early from social media texts.

Bayesian model predicts mental health symptoms from IAT data, improving accuracy over D-score.

The failure of landing a job for college students could cause serious social consequences such as drunkenness and suicide. In addition to academic performance, unconscious biases can become one key obstacle for hunting jobs for graduating students. Thus, it is necessary to understand these unconscious biases so that we…

Depression is one of the most common mental health disorders, and a large number of depressed people commit suicide each year. Potential depression sufferers usually do not consult psychological doctors because they feel ashamed or are unaware of any depression, which may result in severe delay of diagnosis and treatme…

The paper identifies all link projections with isolate-region number one.

We introduce a local move on a link diagram named a region freeze crossing change which is close to a region crossing change, but not the same. We study similarity and difference between region crossing change and region freeze crossing change.

Regionalization is the task of dividing up a landscape into homogeneous patches with similar properties. Although this task has a wide range of applications, it has two notable challenges. First, it is assumed that the resulting regions are both homogeneous and spatially contiguous. Second, it is well-recognized that l…

Isoperimetric regions in scaled product manifolds are products of regions in each factor.

Two multifidelity trust-region methods use low-fidelity models for efficient optimization.

PerSense assesses personality traits from text for commonsense reasoning.

There are few papers about the consumption pattern of the Portuguese wine, using econometrics techniques. This work, pretend to analyze the consumers behavior of the wine produced in Portugal, determining the demand equation with panel data methods. There were used statistical data available in the Alentejo Regional Wi…

A region crossing change at a region of a spatial-graph diagram is a transformation changing every crossing on the boundary of the region. In this paper, it is shown that every spatial graph consisting of theta-curves can be unknotted by region crossing changes.

Isoperimetric regions minimize the size of their boundaries among all regions with the same volume. In Euclidean and Hyperbolic space, isoperimetric regions are round balls. We show that isoperimetric regions in two and three-dimensional nonpositively curved manifolds are not necessarily balls, and need not even be con…

Generalizes region select game to $k$-colored knot diagrams.

Contrast uses normalizing flows to create precise prediction regions for multi-dimensional outputs.

We consider a generic configuration of regions, consisting of a collection of distinct compact regions $\{Ω_i\}$ in $\mathbb{R}^{n+1}$ which may be either smooth regions disjoint from the others or regions which meet on their piecewise smooth boundaries $\mathcal{B}_i$ in a generic way. We introduce a skeletal linking …

Study examines how changing regions affects planar graphs.

In this paper, we formulate a new local move on virtual knot diagram, called arc shift move. Further, we extend it to another local move called region arc shift defined on a region of a virtual knot diagram. We establish that these arc shift and region arc shift moves are unknotting operations by showing that any virtu…

Paper classifies link diagrams on nonorientable surfaces using region crossing changes.

Region crossing change is a local operation on link diagrams. The behavior of region crossing change on $S^2$ is well understood. In this paper, we study the behavior of (modified) region crossing change on higher genus surfaces.

Problems on region choices for knot and link diagrams solved using Alexander numbering.

Despite being very effective in several classification tasks, Dynamic Ensemble Selection (DES) techniques can select classifiers that classify all samples in the region of competence as being from the same class. The Frienemy Indecision REgion DES (FIRE-DES) tackles this problem by pre-selecting classifiers that correc…

Spatial graphs of non-Eulerian or proper Eulerian planar graphs are unknottable by region crossing changes.

Cost-effective models detect depression from speech.

Region crossing change is a local transformation on a knot or link diagram. We show that a region crossing change on a knot diagram is an unknotting operation, and we define the region unknotting numbers for a knot diagram and a knot.

We present a new active learning algorithm that adaptively partitions the input space into a finite number of regions, and subsequently seeks a distinct predictor for each region, both phases actively requesting labels. We prove theoretical guarantees for both the generalization error and the label complexity of our al…

Region-specific linear models are widely used in practical applications because of their non-linear but highly interpretable model representations. One of the key challenges in their use is non-convexity in simultaneous optimization of regions and region-specific models. This paper proposes novel convex region-specific…

Bayesian optimization tackles constrained high-dimensional problems with penalties and trust regions.

Generic smooth boundaries for isoperimetric regions in 8D manifolds.

Conformal Prediction Regions match Imprecise Highest Density Regions under consonance.

New Boolean algebra method shows knot unknotting number is (c+1)/2.

In this paper we propose {\it a region choice problem} for a knot projection. This problem is an integral extension of Shimizu's 'region crossing change unknotting operation.' We show that there exists a solution of the region choice problem for all knot projections.