ICML

Addressing Catastrophic Forgetting in Few-Shot Problems

Pauching Yap, Hippolyt Ritter, David Barber

Comments ICML 2021

Riemannian Convex Potential Maps

Samuel Cohen, Brandon Amos, Yaron Lipman

Comments ICML 2021

A Probabilistic Representation of DNNs: Bridging Mutual Information and Generalization

Xinjie Lan, Kenneth Barner

Comments To appear in the ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI

DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs

Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines

Comments 77 pages. Accepted for publication at ICML 2021, to appear

Newton Method over Networks is Fast up to the Statistical Precision

Amir Daneshmand, Gesualdo Scutari, Pavel Dvurechensky, Alexander Gasnikov

Comments In proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021

Consensus Control for Decentralized Deep Learning

Lingjing Kong, Tao Lin, Anastasia Koloskova, Martin Jaggi, Sebastian U. Stich

Comments LK and TL contribute equally - ICML 2021

Journal ref Proceedings of the 38th International Conference on Machine Learning (ICML), PMLR 139, 2021

PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees

Jonas Rothfuss, Vincent Fortuin, Martin Josifoski, Andreas Krause

Comments International Conference on Machine Learning (ICML) 2021

Neural Pharmacodynamic State Space Modeling

Zeshan Hussain, Rahul G. Krishnan, David Sontag

Comments To appear at the International Conference on Machine Learning (ICML) 2021

Accuracy, Interpretability, and Differential Privacy via Explainable Boosting

Harsha Nori, Rich Caruana, Zhiqi Bu, Judy Hanwen Shen, Janardhan Kulkarni

Comments To be published in ICML 2021. 12 pages, 6 figures

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies

Linxi Fan, Guanzhi Wang, De-An Huang, Zhiding Yu, Li Fei-Fei, Yuke Zhu, Anima Anandkumar

Comments ICML 2021. Website: https://linxifan.github.io/secant-site/

Joining datasets via data augmentation in the label space for neural networks

Jake Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen

Comments Accepted in ICML 2021. Jake Zhao and Mingfeng Ou contributed equally

Heterogeneous Risk Minimization

Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

Comments Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021. (ICML2021)

Batch Value-function Approximation with Only Realizability

Tengyang Xie, Nan Jiang

Comments Published in ICML 2021

Optimizing Data Usage via Differentiable Rewards

Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime Carbonell, Graham Neubig

Comments Accepted at ICML 2020

Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation

Haoxiang Wang, Han Zhao, Bo Li

Comments ICML 2021 camera-ready version. Code is released at https://github.com/AI-secure/multi-task-learning

Directed Graph Embeddings in Pseudo-Riemannian Manifolds

Aaron Sim, Maciej Wiatrak, Angus Brayne, Páidí Creed, Saee Paliwal

Comments Accepted at ICML 2021

Correlation Clustering in Constant Many Parallel Rounds

Vincent Cohen-Addad, Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski

Comments ICML 2021 (long talk)

Targeted Data Acquisition for Evolving Negotiation Agents

Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh

Comments The Thirty-eighth International Conference on Machine Learning

A Wasserstein Minimax Framework for Mixed Linear Regression

Theo Diamandis, Yonina C. Eldar, Alireza Fallah, Farzan Farnia, Asuman Ozdaglar

Comments To appear in 38th International Conference on Machine Learning (ICML 2021)

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation

Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang

Comments Accepted by ICML 2021

LARNet: Lie Algebra Residual Network for Face Recognition

Xiaolong Yang, Xiaohong Jia, Dihong Gong, Dong-Ming Yan, Zhifeng Li, Wei Liu

Comments Accepted by ICML 2021

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining

Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan

Comments Accepted by ICML 2021

Ditto: Fair and Robust Federated Learning Through Personalization

Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith

Comments Accepted by ICML 2021

Dataset Dynamics via Gradient Flows in Probability Space

David Alvarez-Melis, Nicolò Fusi

Comments ICML 2021

Offline Contextual Bandits with Overparameterized Models

David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna

Journal ref Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks

Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li

Comments ICML 2021

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization

Risheng Liu, Xuan Liu, Xiaoming Yuan, Shangzhi Zeng, Jin Zhang

Comments Accepted at ICML 2021

Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity

Dhruv Malik, Aldo Pacchiano, Vishwak Srinivasan, Yuanzhi Li

Comments ICML 2021

Phase Transitions, Distance Functions, and Implicit Neural Representations

Yaron Lipman

Journal ref ICML 2021

Taylor Expansion of Discount Factors

Yunhao Tang, Mark Rowland, Rémi Munos, Michal Valko

Comments Accepted at International Conference of Machine Learning (ICML), 2021