Statistics

Authors and titles for October 2021

[901] arXiv:2110.11853 (cross-list from cs.DS) [pdf, other]

Title: Polynomial-Time Sum-of-Squares Can Robustly Estimate Mean and Covariance of Gaussians Optimally

Pravesh K. Kothari, Peter Manohar, Brian Hu Zhang

Subjects: Data Structures and Algorithms (cs.DS); Statistics Theory (math.ST)

[902] arXiv:2110.11875 (cross-list from cs.LG) [pdf, other]

Title: GeneDisco: A Benchmark for Experimental Design in Drug Discovery

Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[903] arXiv:2110.11876 (cross-list from cs.DS) [pdf, other]

Title: Tight and Robust Private Mean Estimation with Few Users

Hossein Esfandiari, Vahab Mirrokni, Shyam Narayanan

Comments: 41 pages. To appear in the International Conference on Machine Learning (ICML), 2022

Subjects: Data Structures and Algorithms (cs.DS); Cryptography and Security (cs.CR); Machine Learning (cs.LG); Statistics Theory (math.ST)

[904] arXiv:2110.11886 (cross-list from cs.LG) [pdf, other]

Title: Conditionally Gaussian PAC-Bayes

Eugenio Clerico, George Deligiannidis, Arnaud Doucet

Journal-ref: Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2311-2329, 2022

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[905] arXiv:2110.11891 (cross-list from cs.LG) [pdf, other]

Title: On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning

Anvith Thudi, Hengrui Jia, Ilia Shumailov, Nicolas Papernot

Comments: published in 31st USENIX Security Symposium

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR); Machine Learning (stat.ML)

[906] arXiv:2110.11948 (cross-list from cs.LG) [pdf, other]

Title: Learning Proposals for Practical Energy-Based Regression

Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön

Comments: AISTATS 2022. Code is available at this https URL

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[907] arXiv:2110.11950 (cross-list from cs.LG) [pdf, other]

Title: Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff

Adel Javanmard, Mohammad Mehrabi

Comments: 30 pages, 7 figures

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)

[908] arXiv:2110.12002 (cross-list from cs.LG) [pdf, other]

Title: Fairness in Missing Data Imputation

Yiliang Zhang, Qi Long

Comments: Accepted to ICML 2021 Workshop

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME)

[909] arXiv:2110.12024 (cross-list from cs.LG) [pdf, other]

Title: A Prototype-Oriented Framework for Unsupervised Domain Adaptation

Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou

Comments: NeurIPS 2021

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[910] arXiv:2110.12066 (cross-list from cs.LG) [pdf, other]

Title: The Causal Loss: Driving Correlation to Imply Causation

Moritz Willig, Matej Zečević, Devendra Singh Dhami, Kristian Kersting

Comments: Main paper: 8 pages, References: 2 pages, Appendix: 3 pages. Figures: 4 main, 4 appendix. Tables: 2 main

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[911] arXiv:2110.12087 (cross-list from cs.LG) [pdf, other]

Title: Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds

Vu Nguyen, Marc Peter Deisenroth, Michael A. Osborne

Comments: 20 pages

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[912] arXiv:2110.12088 (cross-list from cs.LG) [pdf, other]

Title: Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations

Jiaheng Wei, Zhaowei Zhu, Hao Cheng, Tongliang Liu, Gang Niu, Yang Liu

Comments: Published as a conference paper at ICLR 2022

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[913] arXiv:2110.12122 (cross-list from cs.LG) [pdf, other]

Title: Quantifying Epistemic Uncertainty in Deep Learning

Ziyi Huang, Henry Lam, Haofeng Zhang

Subjects: Machine Learning (cs.LG); Methodology (stat.ME); Machine Learning (stat.ML)

[914] arXiv:2110.12132 (cross-list from cs.IR) [pdf, other]

Title: Towards the D-Optimal Online Experiment Design for Recommender Selection

Da Xu, Chuanwei Ruan, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG); Machine Learning (stat.ML)

[915] arXiv:2110.12160 (cross-list from cs.LG) [pdf, other]

Title: Multi-armed Bandit Algorithm against Strategic Replication

Suho Shin, Seungjoon Lee, Jungseul Ok

Subjects: Machine Learning (cs.LG); Computer Science and Game Theory (cs.GT); Machine Learning (stat.ML)

[916] arXiv:2110.12279 (cross-list from cs.LG) [pdf, other]

Title: SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation

Giorgio Giannone, Ole Winther

Comments: ICML 2022

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[917] arXiv:2110.12311 (cross-list from cs.LG) [pdf, other]

Title: Vector Optimization with Stochastic Bandit Feedback

Çağın Ararat, Cem Tekin

Comments: 26 pages, 3 tables, 2 figure; Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023, Valencia, Spain

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[918] arXiv:2110.12319 (cross-list from cs.LG) [pdf, other]

Title: Non-Asymptotic Error Bounds for Bidirectional GANs

Shiao Liu, Yunfei Yang, Jian Huang, Yuling Jiao, Yang Wang

Comments: Corresponding authors: Yunfei Yang (yyangdc@connect.this http URL), Jian Huang ([email protected]), Yuling Jiao (yulingjiaomath@whu.this http URL)

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)

[919] arXiv:2110.12343 (cross-list from cs.LG) [pdf, other]

Title: Off-Policy Evaluation in Partially Observed Markov Decision Processes under Sequential Ignorability

Yuchen Hu, Stefan Wager

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME)

[920] arXiv:2110.12399 (cross-list from cs.LG) [pdf, other]

Title: BINAS: Bilinear Interpretable Neural Architecture Search

Niv Nayman, Yonathan Aflalo, Asaf Noy, Rong Jin, Lihi Zelnik-Manor

Comments: The full code is released at this https URL

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Optimization and Control (math.OC); Machine Learning (stat.ML)

[921] arXiv:2110.12403 (cross-list from cs.LG) [pdf, other]

Title: Learning to Estimate Without Bias

Tzvi Diskin, Yonina C. Eldar, Ami Wiesel

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[922] arXiv:2110.12437 (cross-list from math.NA) [pdf, other]

Title: WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions

Matthew J. Colbrook

Subjects: Numerical Analysis (math.NA); Computer Vision and Pattern Recognition (cs.CV); Information Retrieval (cs.IR); Optimization and Control (math.OC); Machine Learning (stat.ML)

[923] arXiv:2110.12459 (cross-list from cs.LG) [pdf, other]

Title: Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis

Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang

Comments: 25 pages; to appear in NeurIPS 2021

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[924] arXiv:2110.12467 (cross-list from cs.CV) [pdf, other]

Title: Robustness via Uncertainty-aware Cycle Consistency

Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata

Comments: Accepted at NeurIPS 2021. Code is at this https URL. arXiv admin note: substantial text overlap with arXiv:2102.11747

Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Image and Video Processing (eess.IV); Machine Learning (stat.ML)

[925] arXiv:2110.12490 (cross-list from cs.IR) [pdf, other]

Title: Paperfetcher: A tool to automate handsearch for systematic reviews

Akash Pallath, Qiyang Zhang

Subjects: Information Retrieval (cs.IR); Applications (stat.AP)

[926] arXiv:2110.12522 (cross-list from physics.geo-ph) [pdf, other]

Title: An efficient estimation of time-varying parameters of dynamic models by combining offline batch optimization and online data assimilation

Yohei Sawada

Subjects: Geophysics (physics.geo-ph); Machine Learning (stat.ML)

[927] arXiv:2110.12558 (cross-list from cs.GT) [pdf, other]

Title: Recommender Systems meet Mechanism Design

Yang Cai, Constantinos Daskalakis

Subjects: Computer Science and Game Theory (cs.GT); Information Retrieval (cs.IR); Machine Learning (cs.LG); Machine Learning (stat.ML)

[928] arXiv:2110.12567 (cross-list from cs.LG) [pdf, other]

Title: Alignment Attention by Matching Key and Query Distributions

Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou

Comments: NeurIPS 2021; Our code is publicly available at this https URL

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)

[929] arXiv:2110.12572 (cross-list from econ.GN) [pdf, other]

Title: Computational Efficiency in Multivariate Adversarial Risk Analysis Models

Michael Macgregor Perry, Hadi El-Amine

Journal-ref: Decision Analysis 16.4 (2019): 314-332

Subjects: General Economics (econ.GN); Computation (stat.CO)

[930] arXiv:2110.12615 (cross-list from cs.LG) [pdf, other]

Title: Linear Contextual Bandits with Adversarial Corruptions

Heyang Zhao, Dongruo Zhou, Quanquan Gu

Comments: 27 pages, 1 figure

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[931] arXiv:2110.12658 (cross-list from cs.LG) [pdf, other]

Title: Operator Shifting for Model-based Policy Evaluation

Xun Tang, Lexing Ying, Yuhua Zhu

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA); Statistics Theory (math.ST); Machine Learning (stat.ML)

[932] arXiv:2110.12667 (cross-list from cs.LG) [pdf, other]

Title: Mixture-of-Variational-Experts for Continual Learning

Heinke Hihn, Daniel A. Braun

Comments: 15 pages, 4 figures, 1 table

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[933] arXiv:2110.12678 (cross-list from cs.AI) [pdf, other]

Title: Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport

Alex Delalande (LMO, DATASHAPE)

Journal-ref: Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1619-1642, 2022

Subjects: Artificial Intelligence (cs.AI); Numerical Analysis (math.NA); Statistics Theory (math.ST)

[934] arXiv:2110.12722 (cross-list from econ.EM) [pdf, other]

Title: Functional instrumental variable regression with an application to estimating the impact of immigration on native wages

Dakyung Seong, Won-Ki Seo

Subjects: Econometrics (econ.EM); Methodology (stat.ME)

[935] arXiv:2110.12727 (cross-list from cs.LG) [pdf, other]

Title: Learning Stochastic Shortest Path with Linear Function Approximation

Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu

Comments: 46 pages, 1 figure. In ICML 2022

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[936] arXiv:2110.12805 (cross-list from cs.IT) [pdf, other]

Title: Algorithms for the Communication of Samples

Lucas Theis, Noureldin Yosri

Comments: Proceedings of the 39th International Conference on Machine Learning, 2022

Subjects: Information Theory (cs.IT); Machine Learning (stat.ML)

[937] arXiv:2110.12840 (cross-list from cs.LG) [pdf, other]

Title: Self-Consistent Models and Values

Gregory Farquhar, Kate Baumli, Zita Marinho, Angelos Filos, Matteo Hessel, Hado van Hasselt, David Silver

Comments: NeurIPS 2021

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[938] arXiv:2110.12879 (cross-list from cs.AI) [pdf, other]

Title: Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty

Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer

Subjects: Artificial Intelligence (cs.AI); Methodology (stat.ME)

[939] arXiv:2110.12884 (cross-list from cs.LG) [pdf, other]

Title: DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks

Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[940] arXiv:2110.12894 (cross-list from cs.LG) [pdf, other]

Title: The Efficiency Misnomer

Mostafa Dehghani, Anurag Arnab, Lucas Beyer, Ashish Vaswani, Yi Tay

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[941] arXiv:2110.12916 (cross-list from cs.LG) [pdf, other]

Title: On Slowly-varying Non-stationary Bandits

Ramakrishnan Krishnamurthy, Aditya Gopalan

Comments: Under submission

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[942] arXiv:2110.12922 (cross-list from math.PR) [pdf, other]

Title: On quantitative Laplace-type convergence results for some exponential probability measures, with two applications

Valentin De Bortoli, Agnès Desolneux

Subjects: Probability (math.PR); Machine Learning (cs.LG); Machine Learning (stat.ML)

[943] arXiv:2110.12929 (cross-list from math.OC) [pdf, other]

Title: Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming

Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal

Subjects: Optimization and Control (math.OC); Machine Learning (stat.ML)

[944] arXiv:2110.12946 (cross-list from cs.LG) [pdf, other]

Title: Optimal Model Averaging: Towards Personalized Collaborative Learning

Felix Grimberg (1), Mary-Anne Hartley (1), Sai P. Karimireddy (1), Martin Jaggi (1) ((1) EPFL)

Comments: 9 pages (12 pages incl. references and appendix), 1 figure, Best Paper at International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 (FL-ICML'21) ( this https URL\%202021\%20Best\%this http URL )

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR); Machine Learning (stat.ML)

[945] arXiv:2110.12964 (cross-list from q-bio.GN) [pdf, other]

Title: RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data

Xinlei Mi, William Bekerman, Peter A. Sims, Peter D. Canoll, Jianhua Hu

Comments: 22 pages, 8 figures

Subjects: Genomics (q-bio.GN); Quantitative Methods (q-bio.QM); Methodology (stat.ME)

[946] arXiv:2110.13020 (cross-list from cond-mat.stat-mech) [pdf, other]

Title: Deterministic particle flows for constraining SDEs

Dimitra Maoutsa, Manfred Opper

Comments: 4+3 pages, 2 figures -- workshop paper -- Machine Learning and the Physical Sciences, Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021) The related journal paper is published here: this https URL

Subjects: Statistical Mechanics (cond-mat.stat-mech); Optimization and Control (math.OC); Probability (math.PR); Data Analysis, Statistics and Probability (physics.data-an); Methodology (stat.ME)

[947] arXiv:2110.13052 (cross-list from cs.LG) [pdf, other]

Title: Can Q-Learning be Improved with Advice?

Noah Golowich, Ankur Moitra

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Data Structures and Algorithms (cs.DS); Optimization and Control (math.OC); Machine Learning (stat.ML)

[948] arXiv:2110.13060 (cross-list from cs.LG) [pdf, other]

Title: Uniformly Conservative Exploration in Reinforcement Learning

Wanqiao Xu, Jason Yecheng Ma, Kan Xu, Hamsa Bastani, Osbert Bastani

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[949] arXiv:2110.13079 (cross-list from cs.LG) [pdf, other]

Title: Which Model to Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks

Giacomo Arcieri, David Wölfle, Eleni Chatzi

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[950] arXiv:2110.13100 (cross-list from cs.LG) [pdf, other]

Title: Parameter Prediction for Unseen Deep Architectures

Boris Knyazev, Michal Drozdzal, Graham W. Taylor, Adriana Romero-Soriano

Comments: NeurIPS 2021 camera ready, the code is available at this https URL

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)