arXiv research

FLOWGEM generates complete datasets from incomplete data with non-monotone MAR missingness.

New optimizer MARS-M combines variance reduction with Muon for faster LLM training.

Improves MARS for nonparametric multivariate regression with dimension reduction.

Proposes a lasso variant of MARS for nonparametric regression.

MarS simulates financial markets using generative models.

MARS optimizes large model training by reducing variance, outperforming AdamW.

Novel estimation methods improve MAR model accuracy for high-dimensional time series.

MARS model outperforms others in stock price prediction across sectors.

SMART combines decision trees and MARS for better regression modeling.

The paper tackles non-monotonic learning performance and proposes algorithms to make models more monotone.

MARS-Gym framework for marketplaces to train and evaluate recommender systems.

Latent Variable Models (LVMs) are a large family of machine learning models providing a principled and effective way to extract underlying patterns, structure and knowledge from observed data. Due to the dramatic growth of volume and complexity of data, several new challenges have emerged and cannot be effectively addr…

MARS automatically selects tensor decomposition ranks, improving performance in neural network tasks.

Optimizes variational autoencoder for detecting missing data in Mars rover transmissions.

A hierarchical Bayesian classifier is trained at pixel scale with spectral data from the CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) imagery. Its utility in detecting rare phases is demonstrated with new geologic discoveries near the Mars-2020 rover landing site. Akaganeite is found in sediments on the…

Productivity and credit limits affect aggregate production in non-monotonic ways.

Study derives new equation for reserves in non-monotone information scenarios.

New risk control method for non-monotonic losses in complex parameters.

Paper proposes a new MAR model for global economic forecasting.

Improved flow-based models capture dependencies better with multi-scale autoregressive priors.

GradaGrad adapts learning rate non-monotonically, overcoming AdaGrad's step size decrease.

Study learns a neuron with non-monotonic activation functions.

A new unsupervised method removes CT metal artifacts using beta-CycleGAN and attention.

Study shows rigidity for entropy minimizers in non-monotone cases.

Diminishing-returns (DR) submodular optimization is an important field with many real-world applications in machine learning, economics and communication systems. It captures a subclass of non-convex optimization that provides both practical and theoretical guarantees. In this paper, we study the fundamental problem of…

The explosion of time series data in recent years has brought a flourish of new time series analysis methods, for forecasting, clustering, classification and other tasks. The evaluation of these new methods requires either collecting or simulating a diverse set of time series benchmarking data to enable reliable compar…

Study non-monotonic loss functions in CRC, achieving valid risk control with large calibration samples.

The information dynamics in finance and insurance applications is usually modeled by a filtration. This paper looks at situations where information restrictions apply such that the information dynamics may become non-monotone. A fundamental tool for calculating and managing risks in finance and insurance are martingale…

Optimizing expensive black-box systems with limited data is an extremely challenging problem. As a resolution, we present a new surrogate optimization approach by addressing two gaps in prior research -- unimportant input variables and inefficient treatment of uncertainty associated with the black-box output. We first …

In this work we construct Calabi quasi-morphisms on the universal cover of the group Ham(M) of Hamiltonian diffeomorphisms for some non-monotone symplectic manifolds. This complements a result by Entov and Polterovich which applies in the monotone case. Moreover, in contrast to their work, we show that these quasi-morp…

Study finds non-monotonic Value of Information in dynamic multi-market monopoly.

New algorithm maximizes non-monotone adaptive submodular functions in linear time.

A Closer Look at Disentangling in β-VAE shows non-monotonic inference performance.

Paper tackles non-monotonic resource utilization in sequential decision-making.

A probabilistic query may not be estimable from observed data corrupted by missing values if the data are not missing at random (MAR). It is therefore of theoretical interest and practical importance to determine in principle whether a probabilistic query is estimable from missing data or not when the data are not MAR.…

In this paper, we study fundamental problems of maximizing DR-submodular continuous functions that have real-world applications in the domain of machine learning, economics, operations research and communication systems. It captures a subclass of non-convex optimization that provides both theoretical and practical guar…

New findings show privacy affects generalization error in a non-monotonic way.

A mathematical analysis of the distribution of voting power in the Council of the European Union operating according to the Treaty of Lisbon is presented. We study the effects of Brexit on the voting power of the remaining members, measured by the Penrose--Banzhaf Index. We note that the effects in question are non-mon…

Proves uniqueness of non-extremal Kerr-Newman black holes under small perturbations.

Study on MMV in jump-diffusion models resolves MV's non-monotonicity issues.

New method speeds up model selection for complex scientific tasks.

The paper analyzes Variable Annuities with surrender charges, providing a pricing formula and optimal exercise boundary.

We propose non-stationary spectral kernels for Gaussian process regression. We propose to model the spectral density of a non-stationary kernel function as a mixture of input-dependent Gaussian process frequency density surfaces. We solve the generalised Fourier transform with such a model, and present a family of non-…

Researchers propose a non-monotone quantum natural gradient for quantum systems.

New approach to meaningful and robust algorithmic recourse.

The paper improves PCS approximation for ranking and selection under limited simulation budgets.

Insider trading is reduced when penalized, affecting expected penalties in a non-monotone way.

Planetary exploration missions with Mars rovers are complicated, which generally require elaborated task planning by human experts, from the path to take to the images to capture. NASA has been using this process to acquire over 22 million images from the planet Mars. In order to improve the degree of automation and th…