All posts under tag "Statistics"
๐ Original Info Title: Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights ArXiv ID: 2601.01029 Date: 2026-01-03 Authors: Zeyu Bian, Max Biggs, Ruijiang Gao, Zhengling Qi ๐ Abstract This paper develops a practical โฆ
๐ Original Info Title: JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference ArXiv ID: 2512.22999 Date: 2025-12-28 Authors: Niels Bracher, Lars Kรผhmichel, Desi R. Ivanova, Xavier Intes, Paul-Christian Bรผrkner, Stefan T. Radev ๐ Abstract We โฆ
๐ Original Info Title: From interpretability to inference: an estimation framework for universal approximators ArXiv ID: 1903.04209 Date: 2024-12-06 Authors: Andreas Joseph ๐ Abstract We present a novel framework for estimation and inference with the โฆ
๐ Original Info Title: Learning to Importance Sample in Primary Sample Space ArXiv ID: 1808.07840 Date: 2024-03-25 Authors: Quan Zheng and Matthias Zwicker ๐ Abstract Importance sampling is one of the most widely used variance reduction strategies in โฆ
๐ Original Info Title: Online Causal Inference for Advertising in Real-Time Bidding Auctions ArXiv ID: 1908.08600 Date: 2024-02-27 Authors: Caio Waisman, Harikesh S. Nair, Carlos Carrion ๐ Abstract Real-time bidding (RTB) systems, which utilize โฆ
๐ Original Info Title: Panel Data Quantile Regression for Treatment Effect Models ArXiv ID: 2001.04324 Date: 2021-11-18 Authors: Takuya Ishihara ๐ Abstract In this study, we develop a novel estimation method for quantile treatment effects (QTE) under โฆ
๐ Original Info Title: Fast and Flexible Bayesian Inference in Time-varying Parameter Regression Models ArXiv ID: 1910.10779 Date: 2021-10-01 Authors: Niko Hauzenberger, Florian Huber, Gary Koop, Luca Onorante ๐ Abstract In this paper, we write the โฆ
๐ Original Info Title: Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning ArXiv ID: 1908.03761 Date: 2021-09-14 Authors: Xiaoqiang Wang, Liangjun Ke, Zhimin Qiao, and Xinghua Chai ๐ Abstract Finding the optimal signal โฆ
๐ Original Info Title: Prediction Intervals for Synthetic Control Methods ArXiv ID: 1912.07120 Date: 2021-09-09 Authors: Matias D. Cattaneo and Yingjie Feng and Rocio Titiunik ๐ Abstract Uncertainty quantification is a fundamental problem in the โฆ
๐ Original Info Title: Dependence-Robust Inference Using Resampled Statistics ArXiv ID: 2002.02097 Date: 2021-08-26 Authors: Michael P. Leung ๐ Abstract We develop inference procedures robust to general forms of weak dependence. The procedures โฆ
๐ Original Info Title: Distributed Deep Convolutional Neural Networks for the Internet-of-Things ArXiv ID: 1908.01656 Date: 2021-07-30 Authors: Simone Disabato, Manuel Roveri, Cesare Alippi ๐ Abstract Severe constraints on memory and computation โฆ
๐ Original Info Title: Saddlepoint approximations for spatial panel data models ArXiv ID: 2001.10377 Date: 2021-07-14 Authors: Chaonan Jiang, Davide La Vecchia, Elvezio Ronchetti, Olivier Scaillet ๐ Abstract We develop new higher-order asymptotic โฆ
๐ Original Info Title: Training DNN IoT Applications for Deployment On Analog NVM Crossbars ArXiv ID: 1910.13850 Date: 2020-10-19 Authors: Fernando Garcia-Redondo, Shidhartha Das, Glen Rosendale ๐ Abstract A trend towards energy-efficiency, security โฆ
๐ Original Info Title: Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization ArXiv ID: 2002.00059 Date: 2020-10-05 Authors: Santiago Gonzalez and Risto Miikkulainen ๐ Abstract Metalearning of deep neural network (DNN) โฆ
๐ Original Info Title: MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network ArXiv ID: 2001.09001 Date: 2020-10-01 Authors: Priyabrata Saha, Arslan Ali, Burhan A. Mudassar, Yun Long, and Saibal Mukhopadhyay ๐ Abstract We present โฆ
๐ Original Info Title: Toward Optimal Adversarial Policies in the Multiplicative Learning System with a Malicious Expert ArXiv ID: 2001.00543 Date: 2020-09-21 Authors: S. Rasoul Etesami, Negar Kiyavash, Vincent Leon, H. Vincent Poor ๐ Abstract We โฆ
๐ Original Info Title: Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation ArXiv ID: 1903.07424 Date: 2020-08-31 Authors: Yang Chen, Xiaoyan Sun, Yaochu Jin ๐ Abstract Federated learning โฆ
๐ Original Info Title: Entropy Balancing for Continuous Treatments ArXiv ID: 2001.06281 Date: 2020-05-29 Authors: Stefan T’ubbicke ๐ Abstract This paper introduces entropy balancing for continuous treatments (EBCT) by extending the original โฆ
๐ Original Info Title: Clock synchronization over networks – Identifiability of the sawtooth model ArXiv ID: 1906.08208 Date: 2020-03-03 Authors: Pol del Aguila Pla and Lissy Pellaco and Satyam Dwivedi and Peter H’andel and Joakim Jalden โฆ
๐ Original Info Title: AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference ArXiv ID: 1909.13271 Date: 2020-02-12 Authors: Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander Rush, David โฆ
๐ Original Info Title: Encoding-based Memory Modules for Recurrent Neural Networks ArXiv ID: 2001.11771 Date: 2020-02-03 Authors: Antonio Carta, Alessandro Sperduti, Davide Bacciu ๐ Abstract Learning to solve sequential tasks with recurrent models โฆ
๐ Original Info Title: Judicial Favoritism of Politicians: Evidence from Small Claims Court ArXiv ID: 2001.00889 Date: 2020-02-03 Authors: Andre Assumpcao and Julio Trecenti ๐ Abstract Multiple studies have documented racial, gender, political โฆ
๐ Original Info Title: Blocked Clusterwise Regression ArXiv ID: 2001.11130 Date: 2020-01-31 Authors: Max Cytrynbaum ๐ Abstract A recent literature in econometrics models unobserved cross-sectional heterogeneity in panel data by assigning each โฆ
๐ Original Info Title: AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming ArXiv ID: 2001.08169 Date: 2020-01-23 Authors: Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manchanda, Rajesh Panta, Kaustubh โฆ
๐ Original Info Title: Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks ArXiv ID: 2001.05992 Date: 2020-01-17 Authors: Wei Hu, Lechao Xiao, Jeffrey Pennington ๐ Abstract The selection of initial parameter values for โฆ
๐ Original Info Title: A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design ArXiv ID: 2001.05348 Date: 2020-01-16 Authors: Yusuke Sakemi, Kai Morino, Takashi โฆ
๐ Original Info Title: Dynamic Gauss Newton Metropolis Algorithm ArXiv ID: 2001.03530 Date: 2020-01-13 Authors: Mehmet Ugurbil ๐ Abstract GNM: The MCMC Jagger. A rocking awesome sampler. This python package is an affine invariant Markov chain Monte โฆ
๐ Original Info Title: An introduction to decentralized stochastic optimization with gradient tracking ArXiv ID: 1907.09648 Date: 2019-11-14 Authors: Ran Xin and Soummya Kar and Usman A. Khan ๐ Abstract Decentralized solutions to finite-sum โฆ
๐ Original Info Title: On Exact Computation with an Infinitely Wide Neural Net ArXiv ID: 1904.11955 Date: 2019-11-05 Authors: Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang ๐ Abstract How well does a classic deep โฆ
๐ Original Info Title: Beating the House: Identifying Inefficiencies in Sports Betting Markets ArXiv ID: 1910.08858 Date: 2019-10-24 Authors: Sathya Ramesh, Ragib Mostofa, Marco Bornstein, John Dobelman ๐ Abstract Inefficient markets allow investors โฆ
๐ Original Info Title: Decision Automation for Electric Power Network Recovery ArXiv ID: 1910.00699 Date: 2019-10-22 Authors: Yugandhar Sarkale, Saeed Nozhati, Edwin K. P. Chong, Bruce R. Ellingwood ๐ Abstract Critical infrastructure systems such as โฆ
๐ Original Info Title: A response-matrix-centred approach to presenting cross-section measurements ArXiv ID: 1903.06568 Date: 2019-09-20 Authors: Lukas Koch ๐ Abstract The current canonical approach to publishing cross-section data is to unfold the โฆ
๐ Original Info Title: Statistical Robust Chinese Remainder Theorem for Multiple Numbers ArXiv ID: 1909.00225 Date: 2019-09-04 Authors: Hanshen Xiao, Nan Du, Zhikang T. Wang and Guoqiang Xiao ๐ Abstract Generalized Chinese Remainder Theorem (CRT) is โฆ
๐ Original Info Title: Asymptotic Seed Bias in Respondent-driven Sampling ArXiv ID: 1808.10593 Date: 2019-08-22 Authors: Yuling Yan, Bret Hanlon, Sebastien Roch, Karl Rohe ๐ Abstract Respondent-driven sampling (RDS) collects a sample of individuals โฆ
๐ Original Info Title: On rank estimators in increasing dimensions ArXiv ID: 1908.05255 Date: 2019-08-15 Authors: Yanqin Fan, Fang Han, Wei Li, Xiao-Hua Zhou ๐ Abstract The family of rank estimators, including Han's maximum rank correlation (Han, โฆ
๐ Original Info Title: Private PAC learning implies finite Littlestone dimension ArXiv ID: 1806.00949 Date: 2019-03-11 Authors: Noga Alon and Roi Livni and Maryanthe Malliaris and Shay Moran ๐ Abstract We show that every approximately differentially โฆ
๐ Original Info Title: Managing App Install Ad Campaigns in RTB: A Q-Learning Approach ArXiv ID: 1811.04475 Date: 2018-11-13 Authors: Anit Kumar Sahu, Shaunak Mishra, Narayan Bhamidipati ๐ Abstract Real time bidding (RTB) enables demand side โฆ
๐ Original Info Title: Successive Convex Approximation Algorithms for Sparse Signal Estimation with Nonconvex Regularizations ArXiv ID: 1806.10773 Date: 2018-10-26 Authors: Yang Yang and Marius Pesavento and Symeon Chatzinotas and Bj’orn โฆ
๐ Original Info Title: Optimization of a SSPs Header Bidding Strategy using Thompson Sampling ArXiv ID: 1807.03299 Date: 2018-07-11 Authors: Gregoire Jauvion, Nicolas Grislain, Pascal Sielenou Dkengne (IMT), Aurelien Garivier (IMT), Sebastien โฆ
๐ Original Info Title: Surface Networks ArXiv ID: 1705.10819 Date: 2018-06-19 Authors: Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna ๐ Abstract We study data-driven representations for three-dimensional triangle meshes, โฆ
๐ Original Info Title: Phocas: dimensional Byzantine-resilient stochastic gradient descent ArXiv ID: 1805.09682 Date: 2018-05-25 Authors: Cong Xie, Oluwasanmi Koyejo, Indranil Gupta ๐ Abstract We propose a novel robust aggregation rule for โฆ
๐ Original Info Title: Efficient Pricing of Barrier Options on High Volatility Assets using Subset Simulation ArXiv ID: 1803.03364 Date: 2018-03-29 Authors: Keegan Mendonca, Vasileios E. Kontosakos, Athanasios A. Pantelous, and Konstantin M. Zuev ๐ โฆ
๐ Original Info Title: Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization ArXiv ID: 1801.07083 Date: 2018-01-23 Authors: Shanyun Liu, Rui She and Pingyi Fan ๐ Abstract Data โฆ
๐ Original Info Title: Predicting Movie Genres Based on Plot Summaries ArXiv ID: 1801.04813 Date: 2018-01-16 Authors: Quan Hoang ๐ Abstract This project explores several Machine Learning methods to predict movie genres based on plot summaries. Naive โฆ
๐ Original Info Title: Machine Teaching: A New Paradigm for Building Machine Learning Systems ArXiv ID: 1707.06742 Date: 2017-08-14 Authors: Patrice Y. Simard, Saleema Amershi, David M. Chickering, Alicia Edelman Pelton, Soroush Ghorashi, Christopher โฆ
๐ Original Info Title: IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner ArXiv ID: 1605.01194 Date: 2016-05-05 Authors: Lavanya Sita Tekumalla and Sharmistha ๐ Abstract Interpretable semantic textual similarity โฆ
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