Kinds versus continua: A review of psychometric approaches to uncover the structure of psychiatric constructs

D Borsboom, M Rhemtulla, AOJ Cramer… - Psychological …, 2016 - cambridge.org
The question of whether psychopathology constructs are discrete kinds or continuous
dimensions represents an important issue in clinical psychology and psychiatry. The present …

Martingales for physicists: a treatise on stochastic thermodynamics and beyond

É Roldán, I Neri, R Chetrite, S Gupta… - Advances in …, 2023 - Taylor & Francis
Full article: Martingales for physicists: a treatise on stochastic thermodynamics and beyond
Skip to Main Content Taylor and Francis Online homepage Browse Search Publish Login …

[BOOK][B] Topics in random matrix theory

T Tao - 2012 - books.google.com
The field of random matrix theory has seen an explosion of activity in recent years, with
connections to many areas of mathematics and physics. However, this makes the current …

Stochastic subgradient method converges on tame functions

D Davis, D Drusvyatskiy, S Kakade, JD Lee - Foundations of …, 2020 - Springer
This work considers the question: what convergence guarantees does the stochastic
subgradient method have in the absence of smoothness and convexity? We prove that the …

Quantum stochastic processes and quantum non-Markovian phenomena

S Milz, K Modi - PRX Quantum, 2021 - APS
The field of classical stochastic processes forms a major branch of mathematics. Stochastic
processes are, of course, also very well studied in biology, chemistry, ecology, geology …

Bypassing the monster: A faster and simpler optimal algorithm for contextual bandits under realizability

D Simchi-Levi, Y Xu - Mathematics of Operations Research, 2022 - pubsonline.informs.org
We consider the general (stochastic) contextual bandit problem under the realizability
assumption, that is, the expected reward, as a function of contexts and actions, belongs to a …

Causal-structure driven augmentations for text ood generalization

A Feder, Y Wald, C Shi, S Saria… - Advances in Neural …, 2024 - proceedings.neurips.cc
The reliance of text classifiers on spurious correlations can lead to poor generalization at
deployment, raising concerns about their use in safety-critical domains such as healthcare …

Positive operator semigroups

A Bátkai, MK Fijavž, A Rhandi - Operator Theory: advances and …, 2017 - Springer
This book is devoted to positive linear dynamical systems appearing frequently in
mathematical models of various real-life problems. Here we present an operator theoretic …

Meta-learning stationary stochastic process prediction with convolutional neural processes

A Foong, W Bruinsma, J Gordon… - Advances in …, 2020 - proceedings.neurips.cc
Stationary stochastic processes (SPs) are a key component of many probabilistic models,
such as those for off-the-grid spatio-temporal data. They enable the statistical symmetry of …

[BOOK][B] Basic real analysis

HH Sohrab - 2003 - Springer
Houshang H. Sohrab Second Edition Page 1 Basic Real Analysis Houshang H. Sohrab Second
Edition Page 2 Page 3 Page 4 Houshang H. Sohrab Basic Real Analysis Second Edition Page 5 …