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International Conference on Machine Learning · 会议 · Machine Learning

共收录 11825
2211.08422 2023-06-02 cs.LG cs.CV

Mechanistic Mode Connectivity

Ekdeep Singh Lubana, Eric J. Bigelow, Robert P. Dick, David Krueger, Hidenori Tanaka

Comments ICML, 2023

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2210.15458 2023-06-02 cs.CL cs.LG stat.ML

Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models

Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Passos, Sumit Sanghai

Comments 17 pages, to appear at ICML 2023

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2210.09054 2023-06-02 stat.ML cs.AI cs.LG

On the Identifiability and Estimation of Causal Location-Scale Noise Models

Alexander Immer, Christoph Schultheiss, Julia E. Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx

Comments ICML 2023

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2208.01003 2023-06-02 stat.ML cs.LG

What Can Be Learnt With Wide Convolutional Neural Networks?

Francesco Cagnetta, Alessandro Favero, Matthieu Wyart

Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR 202. 2023

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2205.15695 2023-06-02 cs.LG stat.ML

On Preemption and Learning in Stochastic Scheduling

Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet

Comments Accepted to ICML 2023

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2306.00370 2023-06-02 cs.CV cs.LG cs.MA math.DS

Graph Switching Dynamical Systems

Yongtuo Liu, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves

Comments ICML 2023

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2306.00356 2023-06-02 cs.LG cs.AI stat.ML

Regularizing Towards Soft Equivariance Under Mixed Symmetries

Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee

Comments Proceedings of the International Conference on Machine Learning (ICML), 2023

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2306.00338 2023-06-02 cs.LG cs.DS

Last Switch Dependent Bandits with Monotone Payoff Functions

Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi

Comments Accepted to the 40th International Conference on Machine Learning (ICML 2023)

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2306.00242 2023-06-02 stat.ML cs.LG

Combinatorial Neural Bandits

Taehyun Hwang, Kyuwook Chai, Min-hwan Oh

Comments Accepted in ICML 2023

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2306.00181 2023-06-02 stat.ML cs.CV cs.LG eess.SP

Conditionally Strongly Log-Concave Generative Models

Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat

Comments 28 pages, 12 figures, accepted at ICML 2023

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2306.00172 2023-06-02 cs.LG

Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees

Pengfei Li, Jianyi Yang, Shaolei Ren

Comments Accepted by ICML 2023

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2306.00127 2023-06-02 cs.LG cs.CR

Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning

Junyi Zhu, Ruicong Yao, Matthew B. Blaschko

Comments Accepted at ICML 2023

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2306.00045 2023-06-02 cs.NE cs.AI cs.LG

Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability

Robert Tjarko Lange, Henning Sprekeler

Comments 13 pages, 11 figures, International Conference on Machine Learning (ICML) 2023

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2306.00036 2023-06-02 cs.AI

Symmetry-Aware Robot Design with Structured Subgroups

Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang

Comments The Fortieth International Conference on Machine Learning (ICML 2023)

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2306.00015 2023-06-02 cs.LG cs.AI

GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks

Yuwen Li, Miao Xiong, Bryan Hooi

Comments ICML 2023

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2305.18107 2023-06-02 cs.CV eess.IV

Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution

Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang

Comments This paper has been accepted to ICML 2023

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2305.17490 2023-06-02 stat.ML cs.LG

The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent

Lei Wu, Weijie J. Su

Comments ICML 2023 camera ready

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2304.07718 2023-06-02 cs.LG stat.ML

Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value

Yongchan Kwon, James Zou

Comments 18 pages, to be published at ICML 2023

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2303.01806 2023-06-02 cs.LG cs.CV

When does Privileged Information Explain Away Label Noise?

Guillermo Ortiz-Jimenez, Mark Collier, Anant Nawalgaria, Alexander D'Amour, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou

Comments Accepted ICML 2023, Honolulu

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2301.13791 2023-06-02 stat.ML cs.LG

Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback

Wonyoung Kim, Garud Iyengar, Assaf Zeevi

Comments Accepted in ICML 2023, 44 pages including Appendix

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2301.12780 2023-06-02 cs.LG

Equivariant Architectures for Learning in Deep Weight Spaces

Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron

Comments ICML 2023

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2301.11981 2023-06-02 cs.LG astro-ph.EP eess.SP

Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data

Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura

Comments ICML 2023

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2301.10808 2023-06-02 cs.LG math.ST stat.AP stat.CO stat.ML stat.TH

Graph Neural Tangent Kernel: Convergence on Large Graphs

Sanjukta Krishnagopal, Luana Ruiz

Comments Accepted in the 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii

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2301.04095 2023-06-02 stat.CO q-fin.CP stat.ME stat.ML

Optimal randomized multilevel Monte Carlo for repeatedly nested expectations

Yasa Syed, Guanyang Wang

Comments Accepted by ICML 2023. This version generalizes Thm 2.2 and 2.4 to multivariate underlying process, adds two numerical experiments, adds several references, and corrects several typos

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2210.12839 2023-06-02 math.OC cs.DC cs.LG

Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity

Xuxing Chen, Minhui Huang, Shiqian Ma, Krishnakumar Balasubramanian

Comments ICML 2023

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2206.05922 2023-06-02 cs.AI

From Perception to Programs: Regularize, Overparameterize, and Amortize

Hao Tang, Kevin Ellis

Comments ICML 2023

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2206.03353 2023-06-02 stat.ML cs.LG

Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples

Dongyoon Yang, Insung Kong, Yongdai Kim

Comments Accepted in ICML 2023

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2202.11592 2023-06-02 cs.LG stat.ML

A Law of Robustness beyond Isoperimetry

Yihan Wu, Heng Huang, Hongyang Zhang

Comments To appear in ICML 2023

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2305.20019 2023-06-01 cs.LG cs.AI cs.CL

Monotonic Location Attention for Length Generalization

Jishnu Ray Chowdhury, Cornelia Caragea

Comments Accepted in ICML 2023

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2305.19923 2023-06-01 cs.LG cs.AI

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL

Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang

Comments 19 pages, 4 figures, accepted by ICML 23'

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