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Interactive Submodular Bandit
Lin Chen, Andreas Krause, Amin Karbasi
Neural Information Processing Systems http://nips.cc/
Predicting User Activity Level In Point Processes With Mass Transport Equation
Yichen Wang, Xiaojing Ye, Hongyuan Zha, Le Song
However, existing works are mostly problem specific, use heuristics, or simplify the stochastic nature of point processes.
Translation Synchronization via Truncated Least Squares Xiangru Huang
Where the constraint ensures that the solution is unique.
Why 'starving cancer' could be key to slowing disease growth, according to doctors
Dr. Jason Fung shares on Dr. Mark Hyman's podcast how fasting may help reverse diseases like cancer by putting cells into maintenance mode instead of growth mode.
Bandits Dueling on Partially Ordered Sets
Julien Audiffren, Liva Ralaivola
Neural Information Processing Systems http://nips.cc/
Z-Forcing: Training Stochastic Recurrent Networks
Anirudh Goyal ALIAS PARTH GOYAL, Alessandro Sordoni, Marc-Alexandre Cรดtรฉ, Nan Rosemary Ke, Yoshua Bengio
Stochastic recurrent models have been successful in capturing the variability observed in natural sequential data such as speech.
Probabilistic Rule Realization and Selection
Haizi Yu, Tianxi Li, Lav R. Varshney
Neural Information Processing Systems http://nips.cc/
Label Distribution Learning Forests
Wei Shen, KAI ZHAO, Yilu Guo, Alan L. Yuille
Even humans cannot predict the precise age from a single facial image. They may say that the person is probably in one age group and less likely to be in another.
We're on opposite sides of the aisle. But we know America must win the AI race, or else
New analysis reveals why America's $5 trillion AI race against China proves as consequential as the Cold War, citing economic dominance and national security at stake.
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath
Neural Information Processing Systems http://nips.cc/