Papers
On the Inductive Bias of Neural Tangent Kernels
Alberto Bietti, Julien Mairal
Ultra Fast Medoid Identification via Correlated Sequential Halving
Tavor Baharav, David Tse
Privacy Amplification by Mixing and Diffusion Mechanisms
Borja Balle, Gilles Barthe, Marco Gaboardi et al.
Manipulating a Learning Defender and Ways to Counteract
Jiarui Gan, Qingyu Guo, Long Tran-Thanh et al.
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
Jian Ni, Shanghang Zhang, Haiyong Xie
Latent distance estimation for random geometric graphs
Ernesto Araya Valdivia, De Castro Yohann
SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits
Etienne Boursier, Vianney Perchet
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction
Aleksis Pirinen, Erik Gärtner, Cristian Sminchisescu
Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions
Murat Kocaoglu, Amin Jaber, Karthikeyan Shanmugam et al.
Online Learning via the Differential Privacy Lens
Jacob D. Abernethy, Young Hun Jung, Chansoo Lee et al.
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
Difan Zou, Pan Xu, Quanquan Gu
Fisher Efficient Inference of Intractable Models
Song Liu, Takafumi Kanamori, Wittawat Jitkrittum et al.
Alleviating Label Switching with Optimal Transport
Pierre Monteiller, Sebastian Claici, Edward Chien et al.
An adaptive Mirror-Prox method for variational inequalities with singular operators
Kimon Antonakopoulos, Veronica Belmega, Panayotis Mertikopoulos
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak, Christopher Lu, Trevor Darrell et al.
Metric Learning for Adversarial Robustness
Chengzhi Mao, Ziyuan Zhong, Junfeng Yang et al.
Adaptive GNN for Image Analysis and Editing
Lingyu Liang, LianWen Jin, Yong Xu
Unified Language Model Pre-training for Natural Language Understanding and Generation
Li Dong, Nan Yang, Wenhui Wang et al.
Learning by Abstraction: The Neural State Machine
Drew Hudson, Christopher D. Manning
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction
Aviral Kumar, Justin Fu, Matthew Soh et al.
A Meta-MDP Approach to Exploration for Lifelong Reinforcement Learning
Francisco Garcia, Philip S. Thomas
Constrained Reinforcement Learning Has Zero Duality Gap
Santiago Paternain, Luiz Chamon, Miguel Calvo-Fullana et al.
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models
Ruoxi Sun, Scott Linderman, Ian Kinsella et al.