We study three fundamental statistical-learning problems: distribution estimation, property estimation, and property testing. We establish the profile maximum likelihood (PML) estimator as the first unified sample-optimal approach to a wide range of learning tasks. In particular, for every alphabet size and desired…
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PML-LFC improves PML by estimating label confidence from both feature and label spaces.
New efficient algorithm for approximate PML distribution.
We prove stability and exponential convergence of the Perfectly Matched Layer (PML) method for acoustic scattering on manifolds with axial analytic quasicylindrical ends. These manifolds model long-range geometric perturbations (e.g. bending or stretching) of tubular waveguides filled with homogeneous or inhomogeneous …
By decomposing asset returns into potential maximum gain (PMG) and potential maximum loss (PML) with price extremes, this study empirically investigated the relationships between PMG and PML. We found significant asymmetry between PMG and PML. PML significantly contributed to forecasting PMG but not vice versa. We furt…
Estimating symmetric properties of a distribution, e.g. support size, coverage, entropy, distance to uniformity, are among the most fundamental problems in algorithmic statistics. While each of these properties have been studied extensively and separate optimal estimators are known for each, in striking recent work, Ac…
We prove two rigidity results for automorphism groups of the spaces ML(S) of measured laminations on a closed hyperbolic surface S and PML(S) of projective measured laminations on this surface. The results concern the homeomorphisms of ML(S) that preserve the geometric intersection between laminations and the homeomorp…
We propose an efficient algorithm for approximate computation of the profile maximum likelihood (PML), a variant of maximum likelihood maximizing the probability of observing a sufficient statistic rather than the empirical sample. The PML has appealing theoretical properties, but is difficult to compute exactly. Inspi…
Paper offers a framework for estimating symmetric properties efficiently.
We consider the action of a pseudo-Anosov mapping class on . This action has north-south dynamics and so, under iteration, laminations converge exponentially to the stable lamination. We study the rate of this convergence and give examples of families of pseudo-Anosov mapping classes where the rate go…
Let be an infinite geodesically complete hyperbolic surface which can be decomposed into geodesic pairs of pants. We introduce Thurston's boundary to the Teichmüller space of the surface using the length spectrum analogous to Thurston's construction for finite surfaces. Thurston's boundary using the leng…
Partial multi-label learning (PML), which tackles the problem of learning multi-label prediction models from instances with overcomplete noisy annotations, has recently started gaining attention from the research community. In this paper, we propose a novel adversarial learning model, PML-GAN, under a generalized encod…
Paper proposes a method to recover accurate labels from partially valid data in multi-label learning.
Let be a complete borderless infinite area hyperbolic surface. We introduce Thurston's boundary to the Teichmüller space of the surface using Liouville (geodesic) currents. Thurston's boundary to is identified with the space of projective bounded measured laminations on $X…
Thurston's boundary to the universal Teichmüller space is the space of projective bounded measured laminations of . A geodesic ray in is of Teichmüller type if it shrinks vertical foliation of an integrable holomorphic quadratic differential. In a prio…
This paper considers the problem of networks reconstruction from heterogeneous data using a Gaussian Graphical Mixture Model (GGMM). It is well known that parameter estimation in this context is challenging due to large numbers of variables coupled with the degeneracy of the likelihood. We propose as a solution a penal…
Unified plug-in approach for estimating symmetric properties of distributions efficiently.
A measured laminations on the universal hyperbolic solenoid is, by our definition, a leafwise measured lamination with appropriate continuity for the transverse variations. An earthquakes on theuniversal hyperbolic solenoid is uniquely determined by a measured lamination on ; it is a leafwise earthquake with…
Grafting a measured lamination on a hyperbolic surface defines a self-map of Teichmuller space, which is a homeomorphism by a result of Scannell and Wolf. In this paper we study the large-scale behavior of pruning, which is the inverse of grafting. Specifically, for each conformal structure $X \in \T(S)$, pruning g…
Paper improves likelihood estimation for discrete distributions.
We show that if S is a finite type orientable surface of genus g and p punctures where 3g+p > 4, then EL(S) is (n-1)-connected and (n-1)-locally connected where dim(PML(S))=2n+1=6g+2p-7. Furthermore, if g=0, then EL(S) is homeomorphic to the p-4 dimensional Nobeling space.
Thurston's boundary to the universal Teichmüller space is the set of asymptotic rays to the embedding of in the space of geodesic currents; the boundary is identified with the projective bounded measured laminations of . We prove that each Teichmüller …
For a compact surface , Thurston introduced a compactification of its Teichmüller space by completing it with a boundary consisting of projective measured geodesic laminations. We introduce a similar bordification for the Teichmüller space of a noncompact Ri…
The study models insurance dependence using Bernstein copulas.
J Hempel [Topology, 2001] showed that the set of distances of the Heegaard splittings (S,V, h^n(V)) is unbounded, as long as the stable and unstable laminations of h avoid the closure of V in PML(S). Here h is a pseudo-Anosov homeomorphism of a surface S while V is the set of isotopy classes of simple closed curves in …
Let be an integrable holomorphic function on the unit disk and the Teichmüller disk in the universal Teichmüller space . For a positive it is known that as …
We study the asymptotic behavior of the solution curves of the dynamics of spacetimes of the topological type , , where is a closed Riemann surface of genus , in the regime of dimensional classical general relativity. The configuration space of the gauge fixed dynamics is i…