MP5b.2

High Probability Guarantees for Submodular Maximization via Boosted Stochastic Greedy

Andrés Castillo, Ege Kaya, Abolfazl Hashemi, Purdue University, United States
Session:
MP5b: Fast and Scalable Algorithms Lecture
Track:
Adaptive Systems, Machine Learning, Data Analytics
Location:
Chapel
Presentation Time:
Mon, 30 Oct, 15:55 - 16:20 PT (UTC -8)
Session Chair:
Deanna Needell, University of California, Los Angeles
Presentation
Discussion
Resources
No resources available.
Session MP5b
MP5b.1: Conic Descent Redux for Memory-Efficient Optimization
Bingcong Li, Georgios Giannakis, University of Minnesota, Twin Cities, United States
MP5b.2: High Probability Guarantees for Submodular Maximization via Boosted Stochastic Greedy
Andrés Castillo, Ege Kaya, Abolfazl Hashemi, Purdue University, United States
MP5b.3: FedAvg for Minimizing Polyak-Lojasiewicz Objectives: The Interpolation Regime
Shruti Maralappanavar, IIT Dharwad, India; Prashant Khanduri, Wayne State University, United States; Bharath B. N., IIT Dharwad, India
MP5b.4: Stratified-NMF for Heterogeneous Data
James Chapman, Yotam Yaniv, Deanna Needell, University of California, Los Angeles, United States
Contacts