human-gated bandits speed up rental pricing
a new framework lets human agents approve or reject algorithmic price suggestions, using old pricing data to skip the slow start typical in sparse booking markets.
aitag machine learning
summaries filed under machine learning
tera cuts derivative gp cost to linear scaling
a new method reduces the cubic complexity of gaussian processes with gradients by using exact gradient reduction and vecchia approximation.
aitarget updates may stabilize linear q-learning
periodic and soft target updates can guarantee convergence in linear q-learning under explicit spectral and step-size conditions.
aigradient-based early stopping for boosted trees
a new method uses gradient tests instead of validation loss to decide when to stop training gradient boosted trees, avoiding the need for a patience parameter.
aiclass-split anomaly detection can fail when classes overlap
a new diagnostic reveals that common anomaly detection benchmarks become unreliable when held-out classes overlap with normal data in representation space.
aiholo3.1 brings fast local computer use agents
holo3.1 expands computer-use ai to mobile, desktop, and web with quantized models for local inference.
aia gentle primer on llm explainability
an overview of advances in making large language models more interpretable through dynamic evaluation, statistical methods, and accessible tools.
ailinkedin speeds up extreme-scale optimization with pytorch gpus
linkedin rebuilt its dualip solver in pytorch to handle linear programs with trillions of variables, achieving 75x faster per-iteration times on gpus.
aidastatformer: hybrid transformer uses stats for das event recognition
a new transformer model uses compact statistical features instead of raw data to classify events in distributed acoustic sensing, cutting data size while keeping accuracy.
aioptimizing vlm reward models with few demonstrations
a test-time method tunes language prompts for vision-language model reward functions using a handful of expert trajectories, reducing false positives without extra training.
ai10 github repos for modern database systems and tools
explore 10 open-source github repositories for modern databases, analytics, sql, caching, monitoring, replication, postgresql, sqlite, and ai agent memory.
aisvm-based quantile regression for extreme inputs
a new svm framework handles quantile regression when covariates are unusually large, using angular components of extreme observations.
aihedging on the frontier for few-shot learning
a new approach uses weak monotonicity in benchmark evaluations to improve transfer learning and model selection with few samples.
aiqasm-eval dataset for llms on openqasm-3
a new dataset trains and evaluates large language models on openqasm-3 programs with advanced hardware-oriented features beyond simple quantum circuits.
aimock iot sensor time series with mimesis
generate a year of daily temperature readings with seasonal patterns and device metadata using mimesis, pandas, and numpy.
aiagent logic guides enterprise ai beyond llms
ibm research shows that adding software primitives like knowledge graphs and program analysis to ai agents improves performance and cuts costs in enterprise workflows.
aideep learning predicts hip forces from gait kinematics
a new benchmark uses deep learning to estimate hip muscle forces and joint moments directly from walking data, tested on healthy adults and patients.
aibatched bandits with 1-bit feedback
a new study examines stochastic linear bandits where the learner gets only one bit of feedback per batch of actions, revealing fundamental limits and near-optimal algorithms.
aillms without deep neural networks: closed-form global optimum
a new architecture replaces deep neural networks in llms by finding the global optimum in one step, removing the need for iterative training.
aiunicorn scales time series forecasting across datasets
a new framework uses a latent prototype codebook to model channel correlations without being tied to specific channel identities, enabling multi-dataset pretraining and strong few-shot transfer.
ai