QATS is a new polylog-time approximate decoding procedure for HMMs that builds admissible state sequences by locally maximizing likelihoods over paths with at most three segments via adaptive ternary segmentation and cumulative sum storage.
Four transformations on the Catalan triangle
10 Pith papers cite this work. Polarity classification is still indexing.
abstract
In this paper, we define four transformations on the classical Catalan triangle $\mathcal{C}=(C_{n,k})_{n\geq k\geq 0}$ with $C_{n,k}=\frac{k+1}{n+1}\binom{2n-k}{n}$. The first three ones are based on the determinant and the forth is utilizing the permanent of a square matrix. It not only produces many known and new identities involving Catalan numbers, but also provides a new viewpoint on combinatorial triangles.
citation-role summary
citation-polarity summary
roles
background 2polarities
background 2representative citing papers
StereoTales shows that all tested LLMs emit harmful stereotypes in open-ended stories, with associations adapting to prompt language and targeting locally salient groups rather than transferring uniformly across languages.
The authors create e-processes for monotonicity and unimodality testing that achieve power one and consistent mode estimation under i.i.d. sampling.
Proposes a source-data-free transfer learning framework for sparse single-index models that transfers generalized Stein's lemma summaries and uses a guided MLP for nonlinear adaptation.
A zero-shot pipeline with physics-informed synthetic histories lets time-series foundation models outperform baselines by 1.7-2x in cold-start PV forecasting on 440 sites across four datasets.
ICDN is a neural network that models log-demand from log-prices so elasticities can be derived exactly by differentiation, showing better out-of-sample performance than log-log benchmarks on beer sales data.
Ensemble voting strategies for change point detection improve F1-score by 11% over Mozilla's T-test method on a new ground-truth dataset of 174 performance time series annotated by practitioners.
A horizon-aware Prophet model forecasts rail passenger assistance demand and feeds into a risk-based staffing framework, cutting forecast error by up to 76.9% and halving failed assistance deliveries.
POGIL activity for Bayes' theorem yields similar student outcomes to lectures in quasi-experimental evaluation with Bayesian GLM accounting for demographics.
Mathematical proofs are inherently reproducible by nature, unlike computational experiments which require shared code for equivalent scientific diligence.
citing papers explorer
-
Exploring Statistical Change Point Detection Techniques for Performance Anomaly Detection at Mozilla
Ensemble voting strategies for change point detection improve F1-score by 11% over Mozilla's T-test method on a new ground-truth dataset of 174 performance time series annotated by practitioners.