Saved in:
| Main Authors: | Jia, Su, Navidi, Fatemeh, Nagarajan, Viswanath, Ravi, R. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2312.15357 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Lower Bound on the Greedy Approximation Ratio for Adaptive Submodular Cover
by: Harris, Blake, et al.
Published: (2024)
by: Harris, Blake, et al.
Published: (2024)
Minimum Cost Adaptive Submodular Cover
by: Al-Thani, Hessa, et al.
Published: (2022)
by: Al-Thani, Hessa, et al.
Published: (2022)
A Simple Approximation Algorithm for Optimal Decision Tree
by: Zhuo, Zhengjia, et al.
Published: (2025)
by: Zhuo, Zhengjia, et al.
Published: (2025)
Learning Markov Decision Processes under Fully Bandit Feedback
by: Zhuo, Zhengjia, et al.
Published: (2026)
by: Zhuo, Zhengjia, et al.
Published: (2026)
Semi-Bandit Learning for Monotone Stochastic Optimization
by: Agarwal, Arpit, et al.
Published: (2023)
by: Agarwal, Arpit, et al.
Published: (2023)
Submodular Framework for Structured-Sparse Optimal Transport
by: Manupriya, Piyushi, et al.
Published: (2024)
by: Manupriya, Piyushi, et al.
Published: (2024)
Potential Outcome Rankings for Counterfactual Decision Making
by: Kawakami, Yuta, et al.
Published: (2025)
by: Kawakami, Yuta, et al.
Published: (2025)
Provably Robust DPO: Aligning Language Models with Noisy Feedback
by: Chowdhury, Sayak Ray, et al.
Published: (2024)
by: Chowdhury, Sayak Ray, et al.
Published: (2024)
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
by: Tajdini, Artin, et al.
Published: (2023)
by: Tajdini, Artin, et al.
Published: (2023)
Optimal Transport for Measures with Noisy Tree Metric
by: Le, Tam, et al.
Published: (2023)
by: Le, Tam, et al.
Published: (2023)
Robust Loss Functions for Training Decision Trees with Noisy Labels
by: Wilton, Jonathan, et al.
Published: (2023)
by: Wilton, Jonathan, et al.
Published: (2023)
Automatic Rank Determination for Low-Rank Adaptation via Submodular Function Maximization
by: Gao, Yihang, et al.
Published: (2025)
by: Gao, Yihang, et al.
Published: (2025)
Bandit Guided Submodular Curriculum for Adaptive Subset Selection
by: Chanda, Prateek, et al.
Published: (2025)
by: Chanda, Prateek, et al.
Published: (2025)
Adaptive Threshold-Driven Continuous Greedy Method for Scalable Submodular Optimization
by: Rostami, Mohammadreza, et al.
Published: (2026)
by: Rostami, Mohammadreza, et al.
Published: (2026)
Submodular Reinforcement Learning
by: Prajapat, Manish, et al.
Published: (2023)
by: Prajapat, Manish, et al.
Published: (2023)
Noisy Low Rank Column-wise Sensing
by: Singh, Ankit Pratap, et al.
Published: (2024)
by: Singh, Ankit Pratap, et al.
Published: (2024)
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel
by: Chen, Yixin, et al.
Published: (2021)
by: Chen, Yixin, et al.
Published: (2021)
New Spiking Architecture for Multi-Modal Decision-Making in Autonomous Vehicles
by: Ghoreishee, Aref, et al.
Published: (2025)
by: Ghoreishee, Aref, et al.
Published: (2025)
Procurement Auctions via Approximately Optimal Submodular Optimization
by: Deng, Yuan, et al.
Published: (2024)
by: Deng, Yuan, et al.
Published: (2024)
Optimal Clustering from Noisy Binary Feedback
by: Ariu, Kaito, et al.
Published: (2019)
by: Ariu, Kaito, et al.
Published: (2019)
Learning Optimal Individualized Decision Rules with Conditional Demographic Parity
by: Cui, Wenhai, et al.
Published: (2026)
by: Cui, Wenhai, et al.
Published: (2026)
Adaptive Combinatorial Experimental Design: Pareto Optimality for Decision-Making and Inference
by: Xie, Hongrui, et al.
Published: (2026)
by: Xie, Hongrui, et al.
Published: (2026)
Data-Driven Approaches for Thrust Prediction in Underwater Flapping Fin Propulsion Systems
by: Lee, Julian, et al.
Published: (2024)
by: Lee, Julian, et al.
Published: (2024)
Optimal Decision Tree Policies for Markov Decision Processes
by: Vos, Daniël, et al.
Published: (2023)
by: Vos, Daniël, et al.
Published: (2023)
Scalable Submodular Policy Optimization via Pruned Submodularity Graph
by: Anand, Aditi, et al.
Published: (2025)
by: Anand, Aditi, et al.
Published: (2025)
Interpretable Quantile Regression by Optimal Decision Trees
by: Lemaire, Valentin, et al.
Published: (2026)
by: Lemaire, Valentin, et al.
Published: (2026)
AdaPaD: Adaptive Parallel Deflation for PEFT with Self-Correcting Rank Discovery
by: Su, Barbara, et al.
Published: (2026)
by: Su, Barbara, et al.
Published: (2026)
Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
by: Sun, Haixiang, et al.
Published: (2026)
by: Sun, Haixiang, et al.
Published: (2026)
Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees
by: Chatterjee, Sabyasachi, et al.
Published: (2019)
by: Chatterjee, Sabyasachi, et al.
Published: (2019)
Consistent Submodular Maximization
by: Dütting, Paul, et al.
Published: (2024)
by: Dütting, Paul, et al.
Published: (2024)
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint
by: Amanatidis, Georgios, et al.
Published: (2020)
by: Amanatidis, Georgios, et al.
Published: (2020)
Clustered Policy Decision Ranking
by: Levin, Mark, et al.
Published: (2023)
by: Levin, Mark, et al.
Published: (2023)
Online Dynamic Submodular Optimization
by: Lesage-Landry, Antoine, et al.
Published: (2023)
by: Lesage-Landry, Antoine, et al.
Published: (2023)
Extended Deep Submodular Functions
by: Hosseini, Seyed Mohammad, et al.
Published: (2024)
by: Hosseini, Seyed Mohammad, et al.
Published: (2024)
Deep Submodular Peripteral Networks
by: Bhatt, Gantavya, et al.
Published: (2024)
by: Bhatt, Gantavya, et al.
Published: (2024)
Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification
by: Wang, Yancheng, et al.
Published: (2024)
by: Wang, Yancheng, et al.
Published: (2024)
Near Optimal Decision Trees in a SPLIT Second
by: Babbar, Varun, et al.
Published: (2025)
by: Babbar, Varun, et al.
Published: (2025)
Optimal Decision Tree Pruning Revisited: Algorithms and Complexity
by: Harviainen, Juha, et al.
Published: (2025)
by: Harviainen, Juha, et al.
Published: (2025)
Submodular Maximization via Taylor Series Approximation
by: Özcan, Gözde, et al.
Published: (2021)
by: Özcan, Gözde, et al.
Published: (2021)
Latency-Distortion Tradeoffs in Communicating Classification Results over Noisy Channels
by: Teku, Noel, et al.
Published: (2024)
by: Teku, Noel, et al.
Published: (2024)
Similar Items
-
Lower Bound on the Greedy Approximation Ratio for Adaptive Submodular Cover
by: Harris, Blake, et al.
Published: (2024) -
Minimum Cost Adaptive Submodular Cover
by: Al-Thani, Hessa, et al.
Published: (2022) -
A Simple Approximation Algorithm for Optimal Decision Tree
by: Zhuo, Zhengjia, et al.
Published: (2025) -
Learning Markov Decision Processes under Fully Bandit Feedback
by: Zhuo, Zhengjia, et al.
Published: (2026) -
Semi-Bandit Learning for Monotone Stochastic Optimization
by: Agarwal, Arpit, et al.
Published: (2023)