Optimization
Learning to Correlate in Multi-Player General-Sum Sequential Games
Andrea Celli, Alberto Marchesi, Tommaso Bianchi, Nicola Gatti
In this paper, we focus on coarse correlated equilibria (CCEs) in sequential games.
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning
Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen
However, recommendations can easily violate preferences of users from their past natural-language feedback, since the recommender needs to explore new items for further improvement.
Dynamic Local Regret for Non-convex Online Forecasting
Sergul Aydore, Tianhao Zhu, Dean P. Foster
We consider online forecasting problems for non-convex machine learning models.
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
Hanie Sedghi, Anima Anandkumar, Edmond Jonckheere
Neural Information Processing Systems http://nips.cc/
Safe Exploration for Interactive Machine Learning
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
Neural Information Processing Systems http://nips.cc/
Decomposition Bounds for Marginal MAP
Wei Ping, Qiang Liu, Alexander T. Ihler
Neural Information Processing Systems http://nips.cc/
Accelerated Mirror Descent in Continuous and Discrete Time
Walid Krichene, Alexandre Bayen, Peter L. Bartlett
Neural Information Processing Systems http://nips.cc/