Category
3,686 papers
Artificial intelligence (AI) is moving increasingly beyond prediction to support decisions in complex, uncertain, and dynamic environments. This shift creates a natural intersection with operations research and management science (OR/MS), which has long provided methodological foundations for sequential decision making...
Several novel results related to transfer learning are proved, showing the need to carefully select which sets of information to transfer and the need for dependence between transferred information and target problems and how the degree of probabilistic change in an algorithm using transfer places an upper bound on the...
This work formalizes update promotion as certified paired risk-difference auditing as well as building DISCERN, a sequential two-tier protocol that proves finite-sample validity and matching label-complexity bounds of order rho^2/eps^2 at the rate level.
This work introduces Counterfactual Harness Search and Evolution (CHASE), which casts harness evolution as constraint generation over valid counterfactual benchmarks and formalizes an ideal shortcut-neutralized benchmark $B_0$ and establishes theoretical guarantees linking finite counterfactual archives to $B_0$ and ch...
Reach audiences
Advertise in front of researchers, engineers, and readers.
Clinical data sources such as electronic health records and wearable sensors record patient status repeatedly over follow-up, often at irregular times and on different schedules for different measurements. These data create opportunities for continuously updated, individualized risk prediction. Existing approaches, how...
This work proposes a model-based imputation method that enables sampling from p via a sampling-importance-resampling (SIR) procedure, which can be further augmented with a joint diffusion model in the latent space, and achieves competitive performance compared to state-of-the-art procedures.
This paper relaxes the restrictive symmetry conditions adopted in [4], [5] and extends their universal feature selection framework to accommodate noisy observations as well as attribute structures that may exhibit directional preferences. We introduce the notion of weak spherical symmetry, quantified by second-moment d...
It is shown that for every approximation bound that is valid for a set of multi-spike neural networks, there is an equivalent set of single-spike neural networks with only linearly more (or less) neurons, in the maximum number of spikes, for which the bound holds.
It is proved that the solution of LBA, EMA, LCA, PLSA is unique if and only if the solution of NMF is unique, which means existing uniqueness theorems for NMF directly apply to LBA, EMA, LCA, PLSA, and vice versa.
A novel class of expressive SDEs whose solutions are provably confined to a prescribed compact polyhedral state space, matching the domains of EMA data is developed, paving the way for principled, trustworthy continuous-time models of suicide risk and other clinical time series.
BASIS, a critic-free post-training algorithm designed to address the tradeoff between computational efficiency and sample efficiency in value estimation and policy learning, achieves performance close to multi-rollout GRPO-type baselines and often outperforms single-rollout REINFORCE-type baselines.
L Langevin simulated bifurcation (LSB) is established as a fast and accurate Boltzmann sampler and key insights are provided that enable practical applications of fast non-MCMC sampling methods via efficient temperature estimation with CEM.
A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Health & Bioscience
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Data Mining & Modeling
GPT-Lab
· gpt-lab.eu
Nov 3, 2026
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
