Statistics

Authors and titles for February 2020

[801] arXiv:2002.02949 (cross-list from cs.LG) [pdf, other]

Title: Activation Density driven Energy-Efficient Pruning in Training

Timothy Foldy-Porto, Yeshwanth Venkatesha, Priyadarshini Panda

Comments: 8 pages, 5 figures, 4 tables (Accepted in ICPR 2020)

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

[802] arXiv:2002.02950 (cross-list from cs.LG) [pdf, other]

Title: Logistic Regression Regret: What's the Catch?

Gil I. Shamir

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

[803] arXiv:2002.02959 (cross-list from cs.CV) [pdf, other]

Title: Revisiting Spatial Invariance with Low-Rank Local Connectivity

Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith

Journal-ref: International Conference on Machine Learning, 2020

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

[804] arXiv:2002.02991 (cross-list from cs.RO) [pdf, other]

Title: Learning Whole-body Motor Skills for Humanoids

Chuanyu Yang, Kai Yuan, Wolfgang Merkt, Taku Komura, Sethu Vijayakumar, Zhibin Li

Comments: 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids)

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

[805] arXiv:2002.02997 (cross-list from cs.LG) [pdf, other]

Title: DropCluster: A structured dropout for convolutional networks

Liyan Chen, Philip Gautier, Sergul Aydore

Comments: 11 pages, 10 figures, under review

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

[806] arXiv:2002.02998 (cross-list from cs.LG) [pdf, other]

Title: Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness

Ting-Wu Chin, Cha Zhang, Diana Marculescu

Comments: 2021 IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision

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

[807] arXiv:2002.03004 (cross-list from cs.DS) [pdf, other]

Title: List Decodable Subspace Recovery

Prasad Raghavendra, Morris Yau

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

[808] arXiv:2002.03014 (cross-list from cs.LG) [pdf, other]

Title: FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations

Ben Stevens, Tim Colonius

Comments: 8 pages, 12 figures. Under review for ICML 2020

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA); Computational Physics (physics.comp-ph); Fluid Dynamics (physics.flu-dyn); Machine Learning (stat.ML)

[809] arXiv:2002.03016 (cross-list from cs.LG) [pdf, other]

Title: Safe Wasserstein Constrained Deep Q-Learning

Aaron Kandel, Scott J. Moura

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

[810] arXiv:2002.03018 (cross-list from cs.LG) [pdf, other]

Title: Certified Robustness to Label-Flipping Attacks via Randomized Smoothing

Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter

Comments: ICML 2020

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

[811] arXiv:2002.03035 (cross-list from math.OC) [pdf, other]

Title: The Wasserstein Proximal Gradient Algorithm

Adil Salim, Anna Korba, Giulia Luise

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

[812] arXiv:2002.03043 (cross-list from cs.LG) [pdf, other]

Title: Semantic Robustness of Models of Source Code

Goutham Ramakrishnan, Jordan Henkel, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas Reps

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

[813] arXiv:2002.03061 (cross-list from cs.LG) [pdf, other]

Title: Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Rui Wang, Robin Walters, Rose Yu

Subjects: Machine Learning (cs.LG); Representation Theory (math.RT); Machine Learning (stat.ML)

[814] arXiv:2002.03069 (cross-list from cs.LG) [pdf, other]

Title: Adaptive Approximate Policy Iteration

Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvari

Comments: Accepted at AISTATS 2021

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

[815] arXiv:2002.03072 (cross-list from cs.LG) [pdf, other]

Title: Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials

Christian F. Perez, Felipe Petroski Such, Theofanis Karaletsos

Comments: paper presented at AAAI 2020 as oral presentation, 9 pages

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

[816] arXiv:2002.03080 (cross-list from cs.LG) [pdf, other]

Title: Analysis of Random Perturbations for Robust Convolutional Neural Networks

Adam Dziedzic, Sanjay Krishnan

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

[817] arXiv:2002.03090 (cross-list from cs.LG) [pdf, other]

Title: BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization

Miloš Nikolić, Ghouthi Boukli Hacene, Ciaran Bannon, Alberto Delmas Lascorz, Matthieu Courbariaux, Yoshua Bengio, Vincent Gripon, Andreas Moshovos

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

[818] arXiv:2002.03098 (cross-list from cs.LG) [pdf, other]

Title: Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning

Hannes Eriksson, Emilio Jorge, Christos Dimitrakakis, Debabrota Basu, Divya Grover

Comments: 28 pages, 12 figures

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

[819] arXiv:2002.03123 (cross-list from cs.LG) [pdf, other]

Title: Towards a combinatorial characterization of bounded memory learning

Alon Gonen, Shachar Lovett, Michal Moshkovitz

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

[820] arXiv:2002.03129 (cross-list from cs.LG) [pdf, other]

Title: GLSearch: Maximum Common Subgraph Detection via Learning to Search

Yunsheng Bai, Derek Xu, Yizhou Sun, Wei Wang

Comments: Accepted by ICML 2021

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI); Machine Learning (stat.ML)

[821] arXiv:2002.03141 (cross-list from eess.IV) [pdf, other]

Title: PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification

Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, C.-C. Jay Kuo

Comments: 5 pages, 5 figures, 4 tables, Submitted to ICIP 2020

Subjects: Image and Video Processing (eess.IV); Machine Learning (cs.LG); Machine Learning (stat.ML)

[822] arXiv:2002.03147 (cross-list from cs.LG) [pdf, other]

Title: Manifold for Machine Learning Assurance

Taejoon Byun, Sanjai Rayadurgam

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

[823] arXiv:2002.03153 (cross-list from cs.LG) [pdf, other]

Title: Majority Voting and the Condorcet's Jury Theorem

Hanan Shteingart, Eran Marom, Igor Itkin, Gil Shabat, Michael Kolomenkin, Moshe Salhov, Liran Katzir

Comments: 1 figure

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

[824] arXiv:2002.03155 (cross-list from cs.LG) [pdf, other]

Title: Random Features Strengthen Graph Neural Networks

Ryoma Sato, Makoto Yamada, Hisashi Kashima

Comments: Accepted to SDM 2021

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

[825] arXiv:2002.03176 (cross-list from cs.LG) [pdf, other]

Title: On a scalable entropic breaching of the overfitting barrier in machine learning

Illia Horenko

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

[826] arXiv:2002.03179 (cross-list from cs.LG) [pdf, other]

Title: Statistical Optimal Transport posed as Learning Kernel Embedding

J. Saketha Nath (IIT Hyderabad, INDIA), Pratik Jawanpuria (Microsoft IDC, INDIA)

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

[827] arXiv:2002.03181 (cross-list from cs.LG) [pdf, other]

Title: Capsule Network Performance with Autonomous Navigation

Thomas Molnar, Eugenio Culurciello

Comments: In IJAIA Vol.11, No.1 for January 2020; 15 pages, 9 figures

Journal-ref: International Journal of Artificial Intelligence and Applications (IJAIA), Vol. 11, No. 1, January 2020

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

[828] arXiv:2002.03184 (cross-list from cs.LG) [pdf, other]

Title: Time-aware Large Kernel Convolutions

Vasileios Lioutas, Yuhong Guo

Comments: Accepted by ICML 2020

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

[829] arXiv:2002.03203 (cross-list from cs.LG) [pdf, other]

Title: Eliminating Search Intent Bias in Learning to Rank

Yingcheng Sun, Richard Kolacinski, Kenneth Loparo

Journal-ref: 2020 IEEE 14th International Conference on Semantic Computing (ICSC)

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

[830] arXiv:2002.03206 (cross-list from cs.LG) [pdf, other]

Title: Characterizing Structural Regularities of Labeled Data in Overparameterized Models

Ziheng Jiang, Chiyuan Zhang, Kunal Talwar, Michael C. Mozer

Comments: 17 pages, 20 figures, ICML 2021

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

[831] arXiv:2002.03214 (cross-list from eess.SP) [pdf, other]

Title: DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection

Nir Shlezinger, Rong Fu, Yonina C. Eldar

Comments: arXiv admin note: text overlap with arXiv:2002.07806

Subjects: Signal Processing (eess.SP); Information Theory (cs.IT); Machine Learning (cs.LG); Machine Learning (stat.ML)

[832] arXiv:2002.03217 (cross-list from cs.LG) [pdf, other]

Title: Inference for Batched Bandits

Kelly W. Zhang, Lucas Janson, Susan A. Murphy

Journal-ref: NeurIPS 2020

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

[833] arXiv:2002.03218 (cross-list from cs.LG) [pdf, other]

Title: Conservative Exploration in Reinforcement Learning

Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta

Comments: AISTATS 2020

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

[834] arXiv:2002.03221 (cross-list from cs.LG) [pdf, other]

Title: Improved Algorithms for Conservative Exploration in Bandits

Evrard Garcelon, Mohammad Ghavamzadeh, Alessandro Lazaric, Matteo Pirotta

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

[835] arXiv:2002.03222 (cross-list from cs.LG) [pdf, other]

Title: SUOD: Toward Scalable Unsupervised Outlier Detection

Yue Zhao, Xueying Ding, Jianing Yang, Haoping Bai

Comments: In AAAI-20 Workshop on Artificial Intelligence for Cyber Security (AICS)

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

[836] arXiv:2002.03224 (cross-list from eess.SP) [pdf, other]

Title: Detecting, identifying, and localizing radiological material in urban environments using scan statistics

Michael D. Porter, Alphonse Akakpo

Comments: (6 pages, 6 figures) 2019 IEEE International Symposium on Technologies for Homeland Security (HST)

Subjects: Signal Processing (eess.SP); Applications (stat.AP)

[837] arXiv:2002.03229 (cross-list from cs.LG) [pdf, other]

Title: Supervised Quantile Normalization for Low-rank Matrix Approximation

Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert

Comments: new version with genomics experiments

Journal-ref: ICML 2020

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

[838] arXiv:2002.03230 (cross-list from cs.LG) [pdf, other]

Title: Hierarchical Generation of Molecular Graphs using Structural Motifs

Wengong Jin, Regina Barzilay, Tommi Jaakkola

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

[839] arXiv:2002.03231 (cross-list from cs.LG) [pdf, other]

Title: Soft Threshold Weight Reparameterization for Learnable Sparsity

Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham Kakade, Ali Farhadi

Comments: 19 pages, 10 figures, Published at International Conference on Machine Learning (ICML) 2020

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

[840] arXiv:2002.03239 (cross-list from cs.LG) [pdf, other]

Title: Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness

Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi

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

[841] arXiv:2002.03240 (cross-list from cs.LG) [pdf, other]

Title: Multi-task Reinforcement Learning with a Planning Quasi-Metric

Vincent Micheli, Karthigan Sinnathamby, François Fleuret

Comments: Deep RL Workshop, NeurIPS 2020

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

[842] arXiv:2002.03244 (cross-list from cs.LG) [pdf, other]

Title: Multi-Objective Molecule Generation using Interpretable Substructures

Wengong Jin, Regina Barzilay, Tommi Jaakkola

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

[843] arXiv:2002.03261 (cross-list from cs.LG) [pdf, other]

Title: Privacy-Preserving Image Classification in the Local Setting

Sen Wang, J.Morris Chang

Comments: 10 pages, 4 figures, conference

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

[844] arXiv:2002.03272 (cross-list from cs.LG) [pdf, other]

Title: Local Nonparametric Meta-Learning

Wonjoon Goo, Scott Niekum

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

[845] arXiv:2002.03273 (cross-list from cs.LG) [pdf, other]

Title: On the Complexity of Minimizing Convex Finite Sums Without Using the Indices of the Individual Functions

Yossi Arjevani, Amit Daniely, Stefanie Jegelka, Hongzhou Lin

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

[846] arXiv:2002.03278 (cross-list from cs.LG) [pdf, other]

Title: Domain Adaptation as a Problem of Inference on Graphical Models

Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Qingsong Liu, Clark Glymour

Comments: 19 pages; 8 figures

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

[847] arXiv:2002.03282 (cross-list from cs.LG) [pdf, other]

Title: A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems

Bo Peng, Jiahai Wang, Zizhen Zhang

Comments: 15 pages, 8 figures

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

[848] arXiv:2002.03283 (cross-list from cs.LG) [pdf, other]

Title: Segmented Graph-Bert for Graph Instance Modeling

Jiawei Zhang

Comments: 10 pages

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

[849] arXiv:2002.03293 (cross-list from cs.CC) [pdf, other]

Title: On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm

Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui

Subjects: Computational Complexity (cs.CC); Data Structures and Algorithms (cs.DS); Optimization and Control (math.OC); Machine Learning (stat.ML)

[850] arXiv:2002.03298 (cross-list from cs.LG) [pdf, other]

Title: Learning High Order Feature Interactions with Fine Control Kernels

Hristo Paskov, Alex Paskov, Robert West

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