Papers
Compositional Fairness Constraints for Graph Embeddings
Avishek Bose, William Hamilton
Online Variance Reduction with Mixtures
Zalán Borsos, Sebastian Curi, Kfir Yehuda Levy et al.
Adversarial Attacks on Node Embeddings via Graph Poisoning
Aleksandar Bojchevski, Stephan Günnemann
Correlated bandits or: How to minimize mean-squared error online
Vinay Praneeth Boda, Prashanth L.A.
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Yochai Blau, Tomer Michaeli
A Kernel Perspective for Regularizing Deep Neural Networks
Alberto Bietti, Grégoire Mialon, Dexiong Chen et al.
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
Aurelien Bibaut, Ivana Malenica, Nikos Vlassis et al.
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference
Yatao Bian, Joachim Buhmann, Andreas Krause
Analyzing Federated Learning through an Adversarial Lens
Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal et al.
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
Alina Beygelzimer, David Pal, Balazs Szorenyi et al.
Adversarially Learned Representations for Information Obfuscation and Inference
Martin Bertran, Natalia Martinez, Afroditi Papadaki et al.
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Frederik Benzing, Marcelo Matheus Gauy, Asier Mujika et al.
Overcoming Multi-model Forgetting
Yassine Benyahia, Kaicheng Yu, Kamil Bennani Smires et al.
Greedy Layerwise Learning Can Scale To ImageNet
Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon
Invertible Residual Networks
Jens Behrmann, Will Grathwohl, Ricky T. Q. Chen et al.
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
Sima Behpour, Anqi Liu, Brian Ziebart
Switching Linear Dynamics for Variational Bayes Filtering
Philip Becker-Ehmck, Jan Peters, Patrick Van Der Smagt
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
Philipp Becker, Harit Pandya, Gregor Gebhardt et al.
Efficient optimization of loops and limits with randomized telescoping sums
Alex Beatson, Ryan P Adams
Noise2Self: Blind Denoising by Self-Supervision
Joshua Batson, Loic Royer
Categorical Feature Compression via Submodular Optimization
Mohammadhossein Bateni, Lin Chen, Hossein Esfandiari et al.
Pareto Optimal Streaming Unsupervised Classification
Soumya Basu, Steven Gutstein, Brent Lance et al.
Scale-free adaptive planning for deterministic dynamics & discounted rewards
Peter Bartlett, Victor Gabillon, Jennifer Healey et al.
A Personalized Affective Memory Model for Improving Emotion Recognition
Pablo Barros, German Parisi, Stefan Wermter
Learning to Route in Similarity Graphs
Dmitry Baranchuk, Dmitry Persiyanov, Anton Sinitsin et al.