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期刊&会议

International Conference on Machine Learning · 会议 · Machine Learning

共收录 11841
2006.11741 2021-06-09 stat.ML cs.LG

Isometric Gaussian Process Latent Variable Model for Dissimilarity Data

Martin Jørgensen, Søren Hauberg

Comments ICML 2021

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2106.03630 2021-06-08 cs.CV cs.AI cs.LG

Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations

Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan

Comments Published in ICML'21. Code and data: https://github.com/pemami4911/EfficientMORL

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2106.03310 2021-06-08 cs.LG cs.AI cs.CV

Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model

Zi Wang

Comments Accepted to ICML 2021

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2106.03272 2021-06-08 math.OC cs.LG q-fin.CP

Signatured Deep Fictitious Play for Mean Field Games with Common Noise

Ming Min, Ruimeng Hu

Comments Published at ICML 2021

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2106.03110 2021-06-08 cs.LG cs.CV

Asymmetric Loss Functions for Learning with Noisy Labels

Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji

Comments ICML 2021

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2106.02990 2021-06-08 cs.CV

Self-Damaging Contrastive Learning

Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang

Comments ICML 2021

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2106.02943 2021-06-08 cs.LG

Learning Routines for Effective Off-Policy Reinforcement Learning

Edoardo Cetin, Oya Celiktutan

Comments ICML 2021

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2104.08382 2021-06-08 cs.LG cs.AI cs.CR

Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries

Arjun Nitin Bhagoji, Daniel Cullina, Vikash Sehwag, Prateek Mittal

Comments 16 pages, 12 figures; Accepted to ICML 2021

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2104.06643 2021-06-08 cs.LG

Generative Causal Explanations for Graph Neural Networks

Wanyu Lin, Hao Lan, Baochun Li

Comments To appear in the Thirty-eighth International Conference on Machine Learning (ICML2021). Source code: https://github.com/wanyu-lin/ICML2021-Gem

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2103.03399 2021-06-08 cs.LG stat.ML

Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data

Esther Rolf, Theodora Worledge, Benjamin Recht, Michael I. Jordan

Comments Accepted to ICML 2021; 31 pages,9 figures

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2102.10058 2021-06-08 cs.LG cs.SI

Principled Simplicial Neural Networks for Trajectory Prediction

T. Mitchell Roddenberry, Nicholas Glaze, Santiago Segarra

Comments To appear in ICML 2021

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2102.05640 2021-06-08 stat.ML cs.LG

An Exact Solver for the Weston-Watkins SVM Subproblem

Yutong Wang, Clayton D. Scott

Comments ICML 2021

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2102.03150 2021-06-08 cs.LG physics.chem-ph

Equivariant message passing for the prediction of tensorial properties and molecular spectra

Kristof T. Schütt, Oliver T. Unke, Michael Gastegger

Comments Accepted at ICML 2021

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2011.08474 2021-06-08 cs.LG cs.DC math.OC stat.ML

Federated Composite Optimization

Honglin Yuan, Manzil Zaheer, Sashank Reddi

Comments Accepted to ICML 2021. Code repository see https://github.com/hongliny/FCO-ICML21

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2011.00330 2021-06-08 cs.LG cs.AI cs.DC stat.ML

Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism

Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph E. Gonzalez

Comments Accepted to ICML 2021

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2006.08950 2021-06-08 cs.LG cs.DC math.OC stat.ML

Federated Accelerated Stochastic Gradient Descent

Honglin Yuan, Tengyu Ma

Comments Accepted to NeurIPS 2020. Best paper in International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2020 (FL-ICML'20). Code repository see https://github.com/hongliny/FedAc-NeurIPS20

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2106.02552 2021-06-07 cs.LG cs.AI stat.ML

Active Covering

Heinrich Jiang, Afshin Rostamizadeh

Comments ICML 2021

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2106.02436 2021-06-07 cs.LG

Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions

Tal Lancewicki, Shahar Segal, Tomer Koren, Yishay Mansour

Comments 33 pages, 5 figures, ICML 2021

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2101.12617 2021-06-07 math.OC

One-sided Frank-Wolfe algorithms for saddle problems

Vladimir Kolmogorov, Thomas Pock

Comments to appear at ICML 2021

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2002.08014 2021-06-07 stat.ML cs.LG math.OC

Communication-Efficient Distributed SVD via Local Power Iterations

Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang

Comments 9 pages, 7 figures, accepted by 2021 ICML

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2106.02119 2021-06-07 math.OC cs.NA math.NA stat.ML

A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples

Christian Kümmerle, Claudio Mayrink Verdun

Comments 45 pages, 8 figures, to be published in ICML 2021. arXiv admin note: text overlap with arXiv:2009.02905

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2106.02051 2021-06-07 cs.LG astro-ph.IM stat.ML

The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression

Florian List

Comments ICML 2021. The code is available at https://github.com/FloList/EMPL

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2006.05022 2021-06-07 math.ST cs.AI cs.LG stat.AP stat.ML stat.TH

Near-Optimal Confidence Sequences for Bounded Random Variables

Arun Kumar Kuchibhotla, Qinqing Zheng

Comments Accepted to ICML 2021

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2106.01404 2021-06-04 cs.LG cs.AI

Variational Empowerment as Representation Learning for Goal-Based Reinforcement Learning

Jongwook Choi, Archit Sharma, Honglak Lee, Sergey Levine, Shixiang Shane Gu

Comments Accepted at International Conference on Machine Learning (ICML) 2021

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2106.00901 2021-06-04 cs.NE cs.LG stat.ML

A Differentiable Point Process with Its Application to Spiking Neural Networks

Hiroshi Kajino

Comments Accepted to ICML 2021

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2105.11886 2021-06-04 stat.AP stat.ME stat.ML

Conformal Anomaly Detection on Spatio-Temporal Observations with Missing Data

Chen Xu, Yao Xie

Comments Submitted to ICML 2021 Workshop--Distribution-free Uncertainty Quantification

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2106.01096 2021-06-03 cs.LG

Learning to Rehearse in Long Sequence Memorization

Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao

Comments Accepted by ICML 2021

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2106.01070 2021-06-03 stat.ML cs.CY cs.LG math.ST stat.TH

Testing Group Fairness via Optimal Transport Projections

Nian Si, Karthyek Murthy, Jose Blanchet, Viet Anh Nguyen

Journal ref International Conference on Machine Learning 2021

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2103.01948 2021-06-03 cs.LG

Offline Reinforcement Learning with Pseudometric Learning

Robert Dadashi, Shideh Rezaeifar, Nino Vieillard, Léonard Hussenot, Olivier Pietquin, Matthieu Geist

Comments ICML 2021

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2102.01189 2021-06-03 cs.LG cs.AI

GraphDF: A Discrete Flow Model for Molecular Graph Generation

Youzhi Luo, Keqiang Yan, Shuiwang Ji

Comments Accepted by ICML 2021

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