Papers
Comparing Approximate Relaxations of Envy-Freeness
Georgios Amanatidis, Georgios Birmpas, Vangelis Markakis
Synthesis of Controllable Nash Equilibria in Quantitative Objective Game
Shaull Almagor, Orna Kupferman, Giuseppe Perelli
Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy
Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah et al.
Interactive, Collaborative Robots: Challenges and Opportunities
Danica Kragic, Joakim Gustafson, Hakan Karaoguz et al.
Model-free, Model-based, and General Intelligence
Hector Geffner
Language to Action: Towards Interactive Task Learning with Physical Agents
Joyce Y. Chai, Qiaozi Gao, Lanbo She et al.
Hierarchical Long-term Video Prediction without Supervision
Nevan wichers, Ruben Villegas, Dumitru Erhan et al.
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
Difan Zou, Pan Xu, Quanquan Gu
Message Passing Stein Variational Gradient Descent
Jingwei Zhuo, Chang Liu, Jiaxin Shi et al.
Distributed Nonparametric Regression under Communication Constraints
Yuancheng Zhu, John Lafferty
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors
Yichi Zhou, Jun Zhu, Jingwei Zhuo
Stochastic Variance-Reduced Cubic Regularized Newton Methods
Dongruo Zhou, Pan Xu, Quanquan Gu
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates
Kaiwen Zhou, Fanhua Shang, James Cheng
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?
Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos et al.
Understanding Generalization and Optimization Performance of Deep CNNs
Pan Zhou, Jiashi Feng
Revealing Common Statistical Behaviors in Heterogeneous Populations
Andrey Zhitnikov, Rotem Mulayoff, Tomer Michaeli
A Robust Approach to Sequential Information Theoretic Planning
Sue Zheng, Jason Pacheco, John Fisher
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
Shuai Zheng, James Tin-Yau Kwok
Composite Marginal Likelihood Methods for Random Utility Models
Zhibing Zhao, Lirong Xia
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
Bo Zhao, Xinwei Sun, Yanwei Fu et al.
Adversarially Regularized Autoencoders
Junbo Zhao, Yoon Kim, Kelly Zhang et al.
Inter and Intra Topic Structure Learning with Word Embeddings
He Zhao, Lan Du, Wray Buntine et al.
Dynamic Regret of Strongly Adaptive Methods
Lijun Zhang, Tianbao Yang, jin et al.
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
Kaiqing Zhang, Zhuoran Yang, Han Liu et al.
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery
Xiao Zhang, Lingxiao Wang, Yaodong Yu et al.