Top Tweets for #Submodular
🧩 We learn action spaces via submodular optimization, balancing utility & diversity of candidate actions.
A greedy linear-time selection builds dynamic spaces that steer MCTS toward stronger reasoning trajectories.
#AIresearch #Submodular #LLM
[2/2]
✅ A generalized distorted greedy algorithm with guarantees
Joint work with @ryanzylai
#MarkovChains #Submodular #InformationTheory
Extended Deep Submodular Functions
Seyed Mohammad Hosseini, Arash Jamshidi, Seyed Mahdi Noormousavi, Mahdi Siavoshani, Naeimeh Omidvar.
Action editor: Jonathan Scarlett.
https://t.co/aYRrCVOwhg
#monotone #submodular #deep
Sharing the updated version of
📝#Submodular Maximization Subject to Uniform and Partition Matroids: From Theory to Practical Applications and Distributed Solutions
https://t.co/lRyFq3Hg1X
#optimization
Our paper "Optimality Gap of Decentralized #Submodular Maximization under Probabilistic Communication" introduces the notion of probabilistic optimality gap, and its role in strategic message-passing sequence design based on agents' broadcast reliability: https://t.co/UQUkxAjcTA
Fair Representation in Submodular Subset Selection: A Pareto Optimization Approach
Adriano Fazzone, Yanhao Wang, Francesco Bonchi.
Action editor: Lorenzo Orecchia.
https://t.co/rxbLigsduu
#knapsack #submodular #maximization
Just finished a short tutorial on #submodular maximization subject to matroid constraints. I hope that it is not just another overview paper, and there is some useful information for interested readers
https://t.co/T8mwHU3wYQ
📢📢📢 This is happening today! Come and listen to a great talk on #submodular #maximization of concave utility functions composed with a set-union operator !
Link to the talk: https://t.co/fLBBiHfKxe
Next #MachineLearning NeEDS #MathematicalOptimization Online Seminar Series, https://t.co/MtHTw37yA5
🗓️March 6, 16.30 CET
🗣️ Ivana Ljubic @ILjubic
➡️ For joining the mailinglist https://t.co/GBQ54sPZAP
#orms @EUROonline_News
Who here is interested in talking about #submodular optimization? 🤖
My research is in #robotics, and I am applying these methods to coordinate teams of aerial #robots to film moving actors such as animal groups or as in team sports!
Thread 👇
Hot start in the #data session #ECCB2022 by Borislav Hristov about how to combine #multiomics data by exploiting neighborhood structure using #submodular #optimization @thabangh @ISCB_RegSys
https://t.co/a2nCYbPGPM 1/5
Our very recent work on extending the notion of #Meta_Learning to the discrete setting, and, in particular, #Submodular Maximization.
Excited to share our recent paper on "Submodular Meta-Learning" which extends the Meta-Learning methodology to discrete optimization.
Arxiv link: https://t.co/BigoMif1ug
Joint work with @AdibiArman and @AryanMokhtari
1/n
With Thanksgiving behind us, have you reserved your spot at this Wednesday's talk by Eric Balkanski on submodular optimization? Spots are filling up fast! #submodular #optimization https://t.co/5VacF12eXB
Our postdoc @Esikazz presents on #scalable & robust #submodular maximization, AKA data summarization & making decisions under uncertainty. He can make the unknown known. #AI #makebigdatasmall w/ #NetworkScience #optimization #DataScience #weirdthingsivegoogled #WednesdayWisdom
Summer Seminar @YINSedge with @yaleseas PhD candidate @Mehravehs (who leaves us at summers end for @GoogleDeepMind) discussing a #submodular approach to individualized human #brain #parcellation, which enhances prediction of biological/cognitive characteristics. #NetworkScience
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