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Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information
[article]
2020
arXiv
pre-print
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We propose a post-estimation smoothing operator as a fast and effective method for incorporating structural index data into prediction. ...
Our theoretical analysis details simple conditions under which post-estimation smoothing will improve accuracy over that of the original predictor. ...
We also thank the authors of [21] , and in particular Jason Zhang, for their support in replicating their pose estimation predictions. ...
arXiv:2003.05955v1
fatcat:4isbtvvatfdqnfz3fwlbpdjuwe
Excess Dividend Smoothing
2014
Social Science Research Network
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Empirical estimates of the model parameters imply that 38% of observed dividend smoothness is turnover-induced. ...
I study the effect of this channel by developing a dynamic agency model in which dividends signal the firm's persistent earnings. In equilibrium, dividends and earnings are informational substitutes. ...
Table 10 suggests that a model with asymmetric learning speed generates parameter estimates very similar to the baseline case; the results show only a slightly higher degree of excess dividend smoothing ...
doi:10.2139/ssrn.2528720
fatcat:cmqts6d7ojfitarokpvfm7mm2u
Improving Heart Rate Estimation on Consumer Grade Wrist-Worn Device Using Post-Calibration Approach
[article]
2020
arXiv
pre-print
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In this study, we attempted to perform a post-calibration of the heart rate (HR) estimation during the three possible states of average daily activity (resting, redlaying down, and intense treadmill activity ...
This demonstrates the feasibility of our proposed methods in order to correct and provide HR monitoring post-calibrated with high accuracy, raising further awareness of individual fitness in the daily ...
TABLE XI : XI MAE of the HR estimation using the post-calibration approach with PAL related information from Fitbit Charge HR, sensor fusion PAL, and rolling regression of information from Fitbit Charge ...
arXiv:1910.07881v4
fatcat:udgjukvqsbhdjkwvvu5v4welpe
Reinforcement effects in anticipatory smooth eye movements
2018
Journal of Vision
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A monetary reward was associated to a criterion-matching anticipatory velocity as estimated online during the gap before target motion onset. ...
When predictive information about target motion is available, anticipatory smooth pursuit eye movements (aSPEM) are consistently generated before target appearance, thereby reducing the typical sensorimotor ...
We thank Jeremie Jozefowiez for commenting on an earlier version of the manuscript. ...
doi:10.1167/18.11.14
fatcat:ashvdlktdvdxdajd5gperfmkym
OptiFlex: video-based animal pose estimation using deep learning enhanced by optical flow
[article]
2020
bioRxiv
pre-print
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Here, we introduce the first video-based animal pose estimation architecture, referred to as OptiFlex, which integrates a flexible base model to account for variability in animal body shape with an optical ...
Deep learning based animal pose estimation tools have greatly improved animal behaviour quantification. ...
For OptiFlex, we devised a base model, FlexibleBaseline, that can serve as a baseline for future work in animal pose estimation. ...
doi:10.1101/2020.04.04.025494
fatcat:wnvszdjiurbojfmp6xgtxwoqu4
Learning Kernel-Smoothed Machine Translation with Retrieved Examples
[article]
2021
arXiv
pre-print
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In this work, we propose to learn Kernel-Smoothed Translation with Example Retrieval (KSTER), an effective approach to adapt neural machine translation models online. ...
Despite the great success of neural machine translation, updating the deployed models online remains a challenge. ...
We study the effects of source side noise and Baselines We compare the proposed method
target side noise on translation performance. ...
arXiv:2109.09991v2
fatcat:tkynje7j3nfo3erf5nl27osvka
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
[article]
2020
arXiv
pre-print
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In this work, we resolve this conflict with a smooth, implicit encoding of the structure inherent to contact-induced discontinuities. ...
We furthermore circumvent the need to differentiate through stiff or non-smooth dynamics with a novel loss function inspired by the principles of complementarity and maximum dissipation. ...
For a range of data sizes, both ContactNets methods outperform the End-to-end baseline in positional and rotational accuracy, most strikingly for rotational error with ample training data. ...
arXiv:2009.11193v2
fatcat:osvc7oeaxzc2xjvvlvj2jghege
Smoothing volatility targeting
[article]
2022
arXiv
pre-print
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Specifically, we develop a novel variational Bayes estimation method that flexibly encompasses different smoothness assumptions irrespective of the persistence of the underlying latent state. ...
Using a large set of equity trading strategies, we show that smoothing volatility targeting helps to regularise the extreme leverage/turnover that results from commonly used realised variance estimates ...
Compared to the baseline VB, the smooth approximations have a lower accuracy in the estimate of the underlying AR(1) latent process. ...
arXiv:2212.07288v1
fatcat:zbn6geqb7rhyfbuiaoctybcsoy
Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks
2016
Proceedings of the 25th International Conference on World Wide Web - WWW '16
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We propose an effective learning algorithm to learn the proposed factor graph model with directions. Finally we propagate term counts to smooth documents based on the estimated influence. ...
In recent years, online social networks are among the most popular websites with high PV (Page View) all over the world, as they have renewed the way for information discovery and distribution. ...
We thank all the anonymous reviewers for their valuable and constructive comments. ...
doi:10.1145/2872427.2874811
dblp:conf/www/YanLHHHH16
fatcat:p436rkptl5fx7i4mdr5qjhmfoq
SIXO: Smoothing Inference with Twisted Objectives
[article]
2022
arXiv
pre-print
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We then use SMC with these learned targets to define a variational objective for model and proposal learning. ...
We introduce SIXO, a method that instead learns targets that approximate the smoothing distributions, incorporating information from all observations. ...
Some of the computation for this work was made possible by Microsoft Education Azure cloud credits. Dieterich Lawson was supported in part by a Stanford Data Science Fellowship. ...
arXiv:2206.05952v2
fatcat:nsfqkacdofadjkneiid6tr6ofu
OpenMonkeyStudio: Automated Markerless Pose Estimation in Freely Moving Macaques
[article]
2020
bioRxiv
pre-print
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Here, we describe OpenMonkeyStudio, a novel deep learning-based marker-less motion capture system for estimating 3D pose in freely moving macaques in large unconstrained environments. ...
The resulting multiview image streams allow for novel data augmentation via 3D reconstruction of hand-annotated images that in turn train a robust view-invariant deep neural network model. ...
This estimated distance is used to refine the landmark localization. (2) Temporal smoothness cue: the movement of macaque is temporally smooth over time. ...
doi:10.1101/2020.01.31.928861
fatcat:exowfyyygzc2faqqdck43yrm4m
Supersaliency: A Novel Pipeline for Predicting Smooth Pursuit-Based Attention Improves Generalizability of Video Saliency
[article]
2019
arXiv
pre-print
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However, even though most of the available video saliency data sets and models claim to target human observers' fixations, they fail to differentiate them from smooth pursuit (SP), a major eye movement ...
Predicting attention is a popular topic at the intersection of human and computer vision. ...
Acknowledgements Supported by the Elite Network Bavaria, funded by the Bavarian State Ministry for Research and Education. ...
arXiv:1801.08925v3
fatcat:dxh2rbrdizgf3kffvepa4qoc5a
Identifying and Estimating the Distributions of Ex Post and Ex Ante Returns to Schooling
2007
Labour Economics
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This paper surveys a recent body of research ...
We use kernel density estimation to smooth these functions. ...
We conduct this exercise for lifetime earnings, and report baseline variances and covariances without conditioning and state the remaining uncertainty as a fraction of the baseline no-information state ...
doi:10.1016/j.labeco.2007.06.002
fatcat:nd5cuzyehjaddegkcphka5uy24
False discovery rate smoothing
[article]
2016
arXiv
pre-print
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All code for FDR smoothing is publicly available in Python and R. ...
We present false discovery rate smoothing, an empirical-Bayes method for exploiting spatial structure in large multiple-testing problems. ...
Gaussian), and must be estimated jointly with f 1 and c. As we show in Section 4.1, FDR smoothing can accommodate either scenario in a simple, modular way.
Spatial smoothing Formulating the model. ...
arXiv:1411.6144v2
fatcat:xh2hfktzwfffdkzrnpmp5zme54
Fast Spatiotemporal Smoothing of Calcium Measurements in Dendritic Trees
2012
PLoS Computational Biology
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We discuss methods for fast spatiotemporal smoothing of calcium signals in dendritic trees, given spatially localized imaging data obtained via multi-photon microscopy. ...
Using state-space and optimization tools we derive a fast algorithm for estimating the most likely concentration based on the given measurements, and argue that it can provide an estimate of the fast transients ...
Kaifosh for helpful discussions that improved the presentation of the paper. LP was supported by an NSF CAREER grant, a McKnight Scholar award, and by NSF grant IIS-0904353. ...
doi:10.1371/journal.pcbi.1002569
pmid:22787437
pmcid:PMC3386185
fatcat:ynxeer37ebczdhjtoihyfhperi
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