illustration of intersecting lines with various shapes at the connecting points signifying algorithms on a green gradient background

Algorithms

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Publication

How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD

Zeyuan Allen-Zhu

NIPS 2018 | December 2018

Publication

Contextual bandits with surrogate losses: Margin bounds and efficient algorithms

Dylan J. Foster, Akshay Krishnamurthy

Advances in Neural Information Processing Systems | December 2018

Publication

Community Exploration: From Offline Optimization to Online Learning

Xiaowei Chen, Weiran Huang, Wei Chen, John C. S. Lui

Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NeurIPS’2018) | December 2018

Publication

Coupled Variational Bayes via Optimization Embedding

Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song

Neural Information Processing Systems | December 2018

Publication

Learning SMaLL Predictors

Vikas Garg, Ofer Dekel, Lin Xiao

Neural Information Processing Systems | December 2018

Publication

Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors

Yichi Zhou, Jingwei Zhuo, Jun Zhu

International Conference on Machine Learning (ICML) | December 2018

Publication

Estimating network degree distributions under sampling: an inverse problem, with applications to monitoring social media networks

Christian Borgs, Jennifer Chayes

Probabilistic Foundations of Statistical Network Analysis | Published by Norton | 2018, Vol 9 | 1 edition

Publication

An Issue in the Martingale Analysis of the Influence Maximization Algorithm IMM

Proceedings of the 7th International Conference on Computational Social Networks (CSoNet’2018) | December 2018

Publication

Local Partition in Rich Graphs

Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Polo Chau, Hanghang Tong

2018 International Conference on Big Data | November 2018

Video

Discover[i]: Component-based Parameterized Reasoning for Distributed Applications

November 29, 2018 | Roopsha Samanta

Distributed systems are hard to get right. There have been many notable efforts in formal reasoning for distributed systems: these efforts have focused on language design, automated or semi-automated verification, and, more recently, on automated…

Video: Discover[i]: Component-based Parameterized Reasoning for Distributed Applications