SubResearch

Đây là trang tra cứu nhanh cho kho ghi chú nghiên cứu về submodular, k-submodular, và DR-submodular. Mục tiêu là mở một file và đi thẳng đến paper, summary, metadata, concept, hay synthesis cần xem.

Last updated: 2026-04-11 | Default status target: processed-deep

Overview

Kho hien co 52 canonical papers da duoc dua len muc processed-deep, cung cac concept notes va synthesis notes de tai su dung.

52 canonical papers
23 submodular
27 k-submodular
2 DR-submodular

Priority Foundations

Hai paper gốc quan trọng nhất hiện nay là Edmonds 1970 và Nemhauser-Wolsey-Fisher 1978. Đây là hai điểm vào tốt nhất nếu cần tiếp tục deepen hoặc xây comparison notes.

1970 | foundational-original

Edmonds - Submodular Functions, Matroids, and Certain Polyhedra

Foundation của polyhedral viewpoint: polymatroid, base polyhedron, và greedy linear optimization.

submodular polyhedral polymatroid
1978 | foundational-original

Nemhauser, Wolsey, Fisher - Maximizing Submodular Set Functions

Paper mốc của greedy approximation cho monotone submodular maximization dưới cardinality constraints.

submodular greedy maximization

Submodular Papers

Nhóm chính, gồm foundations, cover, minimization, constrained optimization, streaming, và surveys.

1970

Edmonds - Submodular Functions, Matroids, and Certain Polyhedra

Polyhedral foundation cho polymatroid và greedy linear optimization.

1978

Nemhauser, Wolsey, Fisher - Maximizing Submodular Set Functions

Greedy cardinality approximation và residual-gap proof spine kinh điển.

2001

Bar-Ilan, Kortsarz, Peleg - Generalized Submodular Cover Problems and Applications

Reduction framework cho generalized cover và các ứng dụng graph / center selection.

2000

Schrijver - A Combinatorial Algorithm Minimizing Submodular Functions in Strongly Polynomial Time

Strongly polynomial SFM qua base polyhedron và exchange-style certificate.

2007 | survey

Iwata - Submodular Function Minimization

Landing survey cho SFM, discrete convexity, Lovasz extension, và combinatorial minimization.

2007 | survey

McCormick - On Submodular Function Minimization

Tutorial-style survey để định vị nhanh minimization và chọn paper gốc cần đọc tiếp.

2013

Iyer and Bilmes - Submodular Optimization with Submodular Cover and Knapsack Constraints

Framework cho SCSC / SCSK, surrogate modular bounds, và constrained submodular optimization.

2014

Badanidiyuru et al. - Streaming Submodular Maximization

`Sieve-Streaming`, one-pass thresholding, và approximation `1/2 - epsilon`.

2019

Breuer, Balkanski, Singer - The Fast Algorithm for Submodular Maximization

`FAST` dua adaptive sequencing vao cardinality parallel line de dat `1 - 1 / e - epsilon` voi `O(n log log k)` queries va nhan manh practical runtime.

2020 | survey

Liu et al. - Submodular Optimization Problems and Greedy Strategies: A Survey

Bản đồ cho curvature, batched greedy, string submodularity, và greedy lineage mở rộng.

2020

Chen and Kuhnle - Practical and Parallelizable Algorithms for Non-Monotone Submodular Maximization with Size Constraint

`ThreshSeq`, `AST`, va `ATG` sua threshold-sampling cho non-monotone cardinality, dat `1/6 - epsilon` va `0.193 - epsilon` voi near-linear queries.

2021

Liu et al. - Cardinality constrained submodular maximization for random streams

Random-order streaming cardinality line: `1 - 1/e - epsilon` cho monotone, `1/e - epsilon` cho non-monotone, kem hardness barrier `1 - 1/e + epsilon`.

2021

Chen, Dey, Kuhnle - Optimal Submodular Maximization in Parallel

`LINEAR SEQ`, `THRESHOLD SEQ`, va `LS+PGB` dat monotone cardinality gan-toi-uu trong `O(log n)` adaptivity va expected `O(n)` queries.

2023

Pham et al. - Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint

`DLA` va `RLA` dua non-monotone knapsack ve linear-query regime voi cac factor `6 + epsilon` va `4 + epsilon`.

2023

Tran et al. - Improved Streaming Algorithm for Minimum Cost Submodular Cover Problem

`StrMSC` dat bicriteria streaming near-linear cho minimum-cost submodular cover.

2024

Chen et al. - Discretely Beyond 1/e: Guided Combinatorial Algorithms for Submodular Maximization

Moc combinatorial beyond-`1 / e` cho non-monotone size va matroid, dung fast local search + guided greedy de dat `0.385` va `0.305`.

2024

Tukan et al. - Practical 0.385-Approximation for Submodular Maximization Subject to a Cardinality Constraint

Huong practical cho non-monotone cardinality, dua ratio `0.385` ve query complexity `O(n + k^2)` bang fast local search + guided stochastic greedy.

2024

Balkanski et al. - Submodular Maximization in Exactly n Queries

`QuickSwap` / `QuickSwapNM` day matroid-constrained submodular maximization vao exactly-`n` va `2n` query regime, kem mo rong `p`-matchoid.

2024

Dutting et al. - Consistent Submodular Maximization

`Encompassing-Set` va `Chasing-Local-Opt` mo nhanh stable / consistency-aware cardinality maximization trong insertion streams.

2026

Anonymous - Unconstrained Submodular Maximization in Dynamic Setting

Mo nhanh dynamic unconstrained non-monotone USM, pha moc `0.25` voi amortized `O(sqrt(n))` queries trong incremental / decremental, va them bien the fully dynamic khi deletion times duoc reveal.

2025

Chen et al. - Breaking Barriers: Combinatorial Algorithms for Non-monotone Submodular Maximization with Sublinear Adaptivity and 1/e Approximation

Moc parallel combinatorial cho non-monotone cardinality: `PIG` dat `(1/4 - epsilon)` va `PITG` dat `1 / e - epsilon` trong logarithmic adaptivity.

2026

Anonymous - A General Framework for Dynamic Consistent Submodular Maximization

Framework fully dynamic cho consistency-aware submodular maximization duoi cardinality va matroid, dung transition windows va deletion-robust routines de dat sublinear consistency.

2024

Tran et al. - Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint

`AST` cai thien huong low-adaptivity cho non-monotone knapsack len `7 + epsilon` trong `O(log n)` rounds.

k-Submodular

2013

Huber and Kolmogorov - Towards Minimizing k-Submodular Functions

Paper nen tang cho minimization / polyhedral line: Min-Max theorem, unified vectors, `P(f)`, va nut that good characterization trong oracle model.

2013

Gridchyn and Kolmogorov - Potts model, parametric maxflow and k-Submodular Functions

Noi Potts partial-optimality preprocessing voi `k`-submodular relaxations, va giam Kovtun preprocessing xuong `ceil(1 + log_2 k)` maxflow calls.

2014

Ward and Zivny - Maximizing k-Submodular Functions

Paper mốc cho approximation của bisubmodular và k-submodular maximization trong oracle model.

2015

Iwata, Tanigawa, Yoshida - Improved Approximation Algorithms for k-Submodular Function Maximization

Paper cot loi cua maximization line: dat `1/2` cho unconstrained, `k / (2k - 1)` cho monotone, va hardness asymptotic tight cho monotone case.

2016

Hirai and Iwamasa - On k-Submodular Relaxation

Characterizes khi nao multilabel objective admit `k`-submodular relaxation qua `theta`-closure, kem construction `O((kn)^2)`, half-integrality, va binary maximality.

2016

Sakaue - On maximizing a monotone k-Submodular Function subject to a Matroid Constraint

Greedy combinatorial `1/2`-approximation cho monotone matroid-constrained line.

2017

Hirai and Oki - A compact representation for minimizers of k-Submodular Functions

Dua minimizer sets ve elementary PIP / median-semilattice representation, kem Potts-specific enumeration cua maximal minimizers.

2017

Oshima - Derandomization for k-Submodular Maximization

Derandomize baseline monotone `k / (2k - 1)` bang distribution-support LP updates va output tot nhat trong support.

2018

Soma - No-regret algorithms for online k-Submodular Maximization

Mo nhanh online-learning branch: no-`1/2` regret va no-`k / (2k - 1)` regret qua selection games + Blackwell approachability.

2020

Rafiey and Yoshida - Fast and Private Submodular and k-Submodular Functions Maximization with Matroid Constraints

Mo nhanh privacy line cho monotone `k`-submodular matroid, dat private `1/2`, song hanh voi private continuous-greedy `(1 - 1/e)` cho submodular.

2021

Oshima - Improved Randomized Algorithm for k-Submodular Function Maximization

Lam sac dong unconstrained non-monotone bang refined randomized assignment, dat `(k^2 + 1) / (2k^2 + 1)` va ratio dac biet tot hon cho `k = 3`.

2021

Zheng et al. - Maximizing Approximately k-Submodular Functions

Dinh nghia `eps`-approximately `k`-submodular / `eps`-ADR va phan tich greedy duoi total-size va individual-size cho objectives xap xi / noisy.

2021 | corrigendum

Tang, Wang, Chan - Corrigendum to "On Maximizing a Monotone k-Submodular Function under a Knapsack Constraint"

Sua proof cua ORL knapsack line va nang ratio cua cung algorithm size-two-seed + density-greedy len `0.4`.

2021

Huang, Wang, Zhou - On Optimal Approximations for k-Submodular Maximization via Multilinear Extension

Paper continuous / Frank-Wolfe cho `k`-multilinear extension, dat `1/2 - epsilon` va `1/3 - epsilon` cho single matroid hay `O(1)` knapsacks.

2022

Pham et al. - Maximizing k-Submodular Functions under Budget Constraint: Applications and Streaming Algorithms

Budgeted / total-budget streaming cho `k`-submodular, xu ly ca cost chung va cost phu thuoc label, voi guarantees cho ca monotone va non-monotone.

2022

Ene and Nguyen - Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints

Primal-dual single-pass cho per-coordinate cardinality, online free disposal, va ratio tang theo `B_min` den xap xi `0.2953`.

2022

Pham et al. - Fast Streaming Algorithms for k-Submodular Maximization under a Knapsack Constraint

`FSA` va `IFSA` cho monotone k-submodular knapsack: `1/10` single-pass `O(nk)` va `1/4 - epsilon` multi-pass `O(nk / epsilon)`.

2023

Nie et al. - Size-Constrained k-Submodular Maximization in Near-Linear Time

Threshold-greedy near-linear cho total-size va individual-size, giu cac ratio `(1/2 - epsilon)` va `(1/3 - epsilon)` ma khong con phu thuoc tuyen tinh vao budget.

2023

Niu et al. - Fast algorithms for k-Submodular Maximization subject to a Matroid Constraint

Threshold-decreasing duoi matroid, giu moc `(1/2 - epsilon)` va `(1/3 - epsilon)` ma bo phu thuoc tuyen tinh vao rank cua greedy.

2023

Wang et al. - Streaming Algorithms for the k-Submodular Cover Problem

Huong cover / bicriteria streaming cho `k`-submodular, voi known-guess, 2-pass, va 1-pass algorithms.

2023

Tran et al. - Maximizing a k-Submodular Maximization Function under an Individual Knapsack Constraint

Ban conference SoICT mo nhanh `kSMIK` va threshold streaming duoi budget rieng cho tung label.

2023

Xiao et al. - Approximation algorithms for k-submodular maximization subject to a knapsack constraint

Day common-cost single-knapsack line len `0.432` cho monotone va dua ra greedy-type `0.317` dau tien cho non-monotone.

2024

Zhu, Basu, Pavan - Fairness in Monotone k-Submodular Maximization

Huong fairness exact duoi total budget, dat `1/3` voi greedy va `(1/3 - epsilon)` voi threshold version.

2025

Spaeh, Ene, Nguyen - Online and Streaming Algorithms for Constrained k-Submodular Maximization

Framework online/streaming rong cho cardinality va knapsack, xu ly ca monotone lan general objectives va ratio cai thien khi budget lon.

2025

Wang - A 1/2-Approximation for Budgeted k-Submodular Maximization

`1-Guess Greedy` dat moc combinatorial `1/2` cho monotone total-budget knapsack va `1/3` cho non-monotone, bang continuous transformation qua `k`-multilinear extension.

2025

Tran et al. - k-Submodular Maximization Under Individual Knapsack Constraints: Applications and Streaming Algorithm

Ban journal APJOR mo rong nhanh `kSMIK`, them phan tich non-monotone va hai-pass deterministic streaming.

2026 | draft

Anonymous - Fairness k-Submodular Maximization subject to Matroid Constraint

Mo rong fairness sang matroid va non-monotone objectives, nhung lower bounds chi duoc dam bao o muc `floor(l_i / 2)`.

DR-Submodular

2015

Soma and Yoshida - A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice

Generalized cover trên integer lattice với decreasing-threshold algorithm và bicriteria guarantee.

2026

Tran and Pham - Fast Approximation Algorithm for Non-monotone DR-submodular Maximization under Size Constraint

`FastDrSub` va `FastDrSub+` dua deterministic near-linear-time guarantees vao non-monotone DR-submodular size-constrained maximization.

Important Concept Notes

polymatroid.md

Polyhedral / rank-function viewpoint, nối trực tiếp với Edmonds.

k-submodular-relaxation.md

Entry point nhanh cho relaxations, persistency, va partial optimality trong multilabel `k`-submodular line.

submodular-cover.md

Khung nhanh cho cover lineage: greedy cost-per-gain, bicriteria, streaming, va generalized variants.