Papers
Robust Influence Maximization for Hyperparametric Models
Dimitris Kalimeris, Gal Kaplun, Yaron Singer
Statistical Foundations of Virtual Democracy
Anson Kahng, Min Kyung Lee, Ritesh Noothigattu et al.
Bilinear Bandits with Low-rank Structure
Kwang-Sung Jun, Rebecca Willett, Stephen Wright et al.
GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver
David John, Vincent Heuveline, Michael Schober
Kernel Mean Matching for Content Addressability of GANs
Wittawat Jitkrittum, Patsorn Sangkloy, Muhammad Waleed Gondal et al.
Discovering Options for Exploration by Minimizing Cover Time
Yuu Jinnai, Jee Won Park, David Abel et al.
Finding Options that Minimize Planning Time
Yuu Jinnai, David Abel, David Hershkowitz et al.
Neural Logic Reinforcement Learning
Zhengyao Jiang, Shan Luo
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
Kaiyi Ji, Zhe Wang, Yi Zhou et al.
Learning Discrete and Continuous Factors of Data via Alternating Disentanglement
Yeonwoo Jeong, Hyun Oh Song
Training CNNs with Selective Allocation of Channels
Jongheon Jeong, Jinwoo Shin
Ladder Capsule Network
Taewon Jeong, Youngmin Lee, Heeyoung Kim
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
Dasaem Jeong, Taegyun Kwon, Yoojin Kim et al.
A Deep Reinforcement Learning Perspective on Internet Congestion Control
Nathan Jay, Noga Rotman, Brighten Godfrey et al.
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
Natasha Jaques, Angeliki Lazaridou, Edward Hughes et al.
Learning What and Where to Transfer
Yunhun Jang, Hankook Lee, Sung Ju Hwang et al.
DBSCAN++: Towards fast and scalable density clustering
Jennifer Jang, Heinrich Jiang
Sum-of-Squares Polynomial Flow
Priyank Jaini, Kira A. Selby, Yaoliang Yu
Differentially Private Fair Learning
Matthew Jagielski, Michael Kearns, Jieming Mao et al.
Learning from a Learner
Alexis Jacq, Matthieu Geist, Ana Paiva et al.
Causal Identification under Markov Equivalence: Completeness Results
Amin Jaber, Jiji Zhang, Elias Bareinboim
Complementary-Label Learning for Arbitrary Losses and Models
Takashi Ishida, Gang Niu, Aditya Menon et al.
Actor-Attention-Critic for Multi-Agent Reinforcement Learning
Shariq Iqbal, Fei Sha
Phase transition in PCA with missing data: Reduced signal-to-noise ratio, not sample size!
Niels Ipsen, Lars Kai Hansen