闲情居|机器学习领域顶会ICML20精选论文分享(12)
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features Liang Ding, Rui Tuo, Shahin Shahrampour
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle Shaocong Ma, Yi Zhou
Learning Opinions in Social Networks Vincent Conitzer, Debmalya Panigrahi, Hanrui Zhang
Latent Variable Modelling with Hyperbolic Normalizing Flows Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, Will Hamilton
StochasticRank: Global Optimization of Scale-Free Discrete Functions Aleksei Ustimenko, Liudmila Prokhorenkova
Working Memory Graphs Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio
Spread Divergence Mingtian Zhang, Peter Hayes, Thomas Bird, Raza Habib, David Barber
Optimizing Black-box Metrics with Adaptive Surrogates Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya Gupta
Domain Adaptive Imitation Learning Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon
A general recurrent state space framework for modeling neural dynamics during decision-making David Zoltowski, Jonathan Pillow, Scott Linderman
An Imitation Learning Approach for Cache Replacement Evan Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth, Timo Milbich, Samrath Sinha, Prateek Gupta, Bjorn Ommer, Joseph Paul Cohen
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression Changhee Lee, Mihaela van der Schaar
Countering Language Drift with Seeded Iterated Learning Yuchen Lu, Soumye Singhal, Florian Strub, Aaron Courville, Olivier Pietquin
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization Quoc Tran-Dinh, Nhan Pham, Lam Nguyen
Strategyproof Mean Estimation from Multiple-Choice Questions Anson Kahng, Gregory Kehne, Ariel Procaccia
Sequential Cooperative Bayesian Inference Junqi Wang, Pei Wang, Patrick Shafto
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory Zhou Fan, Cheng Mao, Yihong Wu, Jiaming Xu
Zeno++: Robust Fully Asynchronous SGD Cong Xie, Sanmi Koyejo, Indranil Gupta
Network Pruning by Greedy Subnetwork Selection Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently Asaf Cassel, Alon Cohen, Tomer Koren
Hierarchical Verification for Adversarial Robustness Cong Han Lim, Raquel Urtasun, Ersin Yumer
BINOCULARS for efficient, nonmyopic sequential experimental design Shali Jiang, Henry Chai, Javier Gonzalez, Roman Garnett
On the Global Optimality of Model-Agnostic Meta-Learning Lingxiao Wang, Qi Cai, Zhuoran Yang, Zhaoran Wang
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