A method for rank verification in multivariate Gaussian data, improving on existing approaches.
arXiv research
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Paper proposes a novel method to assess treatment effect estimators using cross-validation.
Study uses RL to optimize crypto portfolios with two-sided transactions and lending.
Proposes a new IPW-based ranking metric for two-sided markets.
Near-optimal private tests for simple and MLR hypotheses developed under Gaussian differential privacy.
Having a regression model, we are interested in finding two-sided intervals that are guaranteed to contain at least a desired proportion of the conditional distribution of the response variable given a specific combination of predictors. We name such intervals predictive intervals. This work presents a new method to fi…
We establish two-sided bounds for the complexity of two infinite series of closed orientable 3-dimensional hyperbolic manifolds, the Lobell manifolds and the Fibonacci manifolds.
In this paper, we establish a fluid limit for a two--sided Markov order book model. Our main result states that in a certain asymptotic regime, a pair of measure-valued processes representing the "sell-side shape" and "buy-side shape" of an order book converges to a pair of deterministic measure-valued processes in a c…
Algorithm identifies optimal stable matching in uncertain two-sided markets.
We define a notion of Hempel distance for one-sided Heegaard splittings and show that the existence of alternate surfaces restricts distance for one-sided splittings in a manner similar to Hartshorn's and Scharlemann-Tomova's results for two-sided splittings. We also show that every geometrically compressible one-sided…
The study examines stable minimal hypersurfaces in higher dimensions.
Discuss folklore statements about manifolds with curvature bounds.
We consider high-dimensional quadratic classifiers in non-sparse settings. The target of classification rules is not Bayes error rates in the context. The classifier based on the Mahalanobis distance does not always give a preferable performance even if the populations are normal distributions having known covariance m…
The choice of model class is fundamental in statistical learning and system identification, no matter whether the class is derived from physical principles or is a generic black-box. We develop a method to evaluate the specified model class by assessing its capability of reproducing data that is similar to the observed…
Proposes a framework for fairness in two-sided marketplaces.
New heat kernel bounds on manifolds with non-negative Ricci curvature.
The paper addresses statistical inference in matching markets with dependent missingness.
A new framework uses multi-agent reinforcement learning for evaluating policies in two-sided markets.
The realized GARCH framework is extended to incorporate the two-sided Weibull distribution, for the purpose of volatility and tail risk forecasting in a financial time series. Further, the realized range, as a competitor for realized variance or daily returns, is employed in the realized GARCH framework. Further, sub-s…
We obtain a finite generating set for the level 2 twist subgroup of the mapping class group of a closed non-orientable surface. The generating set consists of crosscap pushing maps along non-separating two-sided simple loops and squares of Dehn twists along non-separating two-sided simple closed curves. We also prove t…
Multi-view clustering has received much attention recently. Most of the existing multi-view clustering methods only focus on one-sided clustering. As the co-occurring data elements involve the counts of sample-feature co-occurrences, it is more efficient to conduct two-sided clustering along the samples and features si…
This paper introduces a reinforcement learning framework for A/B testing with dynamic causal effects.
A new algorithm for competing agents in a two-sided market setting.
Perimeter minimizers in curved spaces have a singular set no more than 5 dimensions.
Sharp bound on singular set dimension for specific geometric problems.
Let be a compact, connected, nonorientable surface of genus with boundary components with , . Let be the two-sided curve complex of . If is a superinjective simplicial map, then there exists a homeomorphism $h : N \rightar…
We show that for an immersed two-sided minimal surface in , there is a lower bound on the index depending on the genus and number of ends. Using this, we show the nonexistence of an embedded minimal surface in of index , as conjectured by Choe. Moreover, we show that the index of a immersed two-sided mini…
Constructs tail-specific prediction intervals for financial applications
The combined work of Guaraco, Hutchinson, Tonegawa and Wickramasekera has recently produced a new proof of the classical theorem that any closed Riemannian manifold of dimension contains a minimal hypersurface with a singular set of Hausdorff dimension at most . This proof avoids the Almgren--Pitts …
Proposes a dynamic matching algorithm for two-sided online markets.
New bounds for knot complexity based on Jones polynomial coefficients.
Characterizes closures of mapping class group orbits on non-orientable surfaces.
This paper presents approaches to determine a network based pricing for 3D printing services in the context of a two-sided manufacturing-as-a-service marketplace. The intent is to provide cost analytics to enable service bureaus to better compete in the market by moving away from setting ad-hoc and subjective prices. A…
Develops conformal Bayes for two-sided censored Gaussian regression under label shift.
New algorithm reduces cold-start costs in multi-armed bandits for many products.
We consider closed orientable 3-dimensional hyperbolic manifolds which are cyclic branched coverings of the 3-sphere, with branching set being a two-bridge knot (or link). We establish two-sided linear bounds depending on the order of the covering for the Matveev complexity of the covering manifold. The lower estimate …
In the curve complex for a surface, a handlebody set is the set of loops that bound properly embedded disks in a given handlebody bounded by the surface. A boundary set is the set of non-separating loops in the curve complex that bound two-sided, properly embedded surfaces. For a Heegaard splitting, the distance betwee…
It was recently proved that embedded solutions of Euclidean hypersurface flows with speeds given by concave (convex), degree one homogeneous functions of the Weingarten map are interior (exterior) non-collapsing. These results were subsequently extended to hypersurface flows in the sphere and hyperbolic space. In the f…
New findings on stable minimal hypersurfaces in curved 4-manifolds.
Standard probabilistic linear discriminant analysis (PLDA) for speaker recognition assumes that the sample's features (usually, i-vectors) are given by a sum of three terms: a term that depends on the speaker identity, a term that models the within-speaker variability and is assumed independent across samples, and a fi…
Motivated by the construction of spectral manifolds in noncommutative geometry, we introduce a higher degree Heisenberg commutation relation involving the Dirac operator and the Feynman slash of scalar fields. This commutation relation appears in two versions, one sided and two sided. It implies the quantization of the…
When learning a mapping from an input space to an output space, the assumption that the sample distribution of the training data is the same as that of the test data is often violated. Unsupervised domain shift methods adapt the learned function in order to correct for this shift. Previous work has focused on utilizing…
In this paper we push forward results on the invariant -module of a virtual knot investigated by the first named author where is the algebra with two invertible generators and one relation . For flat knots and links the two sides of the relation equa…
Flat stable minimal hypersurfaces in 5D are always flat.
Algorithm solves two-sided matching markets with unknown preferences and constraints.
Flat minimal hypersurfaces in 4D space are always flat.
Dynamic assortment problem on two-sided platform with unknown parameters
New algorithm for decentralized matching markets without prior preference rankings.