Copertina

Identifying Multi-Hit Cancer Drivers Without Massive Parallelization: A CP, MIP, and Column Generation Framework

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Willemsen, Rick S. H., Abeywickrama, Tenindra, Anandakrishnan, Ramu
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Optimization and Control Machine Learning G.1.6; G.2.0
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Trust Region Algorithm for Stochastic Minimax Problems with Decision-Dependent Distributions
di: Gao, Yan, et al.
Pubblicazione: (2025)

Classification and Treatment Learning with Constraints via Composite Heaviside Optimization: a Progressive MIP Method
di: Fang, Yue, et al.
Pubblicazione: (2024)

Solving the Real-Time Train Dispatching Problem by Column Generation
di: Schälicke, Maik, et al.
Pubblicazione: (2023)

Robust Rigid Body Assembly via Contact-Implicit Optimal Control with Exact Second-Order Derivatives
di: Dietz, Christian, et al.
Pubblicazione: (2026)

SuperADMM: Solving Quadratic Programs Faster with Dynamic Weighting ADMM
di: Verheijen, P. C. N., et al.
Pubblicazione: (2025)

A Review of Bilevel Optimization: Methods, Emerging Applications, and Recent Advancements
di: Pujara, Dhaval, et al.
Pubblicazione: (2025)

Formalization of Optimality Conditions for Smooth Constrained Optimization Problems
di: Li, Chenyi, et al.
Pubblicazione: (2025)

A Relaxation Method for Nonsmooth Nonlinear Optimization with Binary Constraints
di: Xiao, Lianghai, et al.
Pubblicazione: (2026)

Formalization of Algorithms for Optimization with Block Structures
di: Li, Chenyi, et al.
Pubblicazione: (2025)

On finite termination of quasi-Newton methods on quadratic problems
di: Ansari-Önnestam, Aban, et al.
Pubblicazione: (2024)

Sufficient conditions for the absence of relaxation gaps in state-constrained optimal control
di: Augier, Nicolas, et al.
Pubblicazione: (2025)

Parametric vibrations of a damaged orthotropic geometrical shell stiffened with an inhomogeneous rod and rings on viscoelastic medium
di: Aliyev, I. G., et al.
Pubblicazione: (2025)

Optimal control of partial differential equations in PyTorch using automatic differentiation and neural network surrogates
di: Khimin, Denis, et al.
Pubblicazione: (2024)

Last-iterate Convergence of ADMM on Multi-affine Quadratic Equality Constrained Problem
di: Chao, Yutong, et al.
Pubblicazione: (2026)

Multiple Approximate-Response Agents (MARA): Fast Near-Optimal Primal Recovery for Distributed Optimization
di: Parshakova, Tetiana, et al.
Pubblicazione: (2025)

Formalization of Complexity Analysis of the First-order Algorithms for Convex Optimization
di: Li, Chenyi, et al.
Pubblicazione: (2024)

Portfolio Optimization with Cumulative Prospect Theory Utility via Convex Optimization
di: Luxenberg, Eric, et al.
Pubblicazione: (2022)

Detecting Isohedral Polyforms with a SAT Solver
di: Kaplan, Craig S.
Pubblicazione: (2024)

Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning
di: Wu, Chia-Yuan, et al.
Pubblicazione: (2024)

Multi-fidelity constraints in blackbox optimization
di: Alarie, Stéphane, et al.
Pubblicazione: (2026)

Adaptive Stochastic Gradient Descent Ascent Algorithm for Nonconvex Minimax Problems with Decision-Dependent Distributions
di: Gao, Yan, et al.
Pubblicazione: (2025)

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework
di: Prajapat, Manish, et al.
Pubblicazione: (2024)

Decentralized Stochastic Optimization over Unreliable Networks via Two-timescales Updates
di: Liu, Haoming, et al.
Pubblicazione: (2025)

Cubic Regularized Newton Method with Variance Reduction for Finite-sum Non-convex Problems
di: Pasechnyuk-Vilensky, Dmitry, et al.
Pubblicazione: (2025)

Heterogeneous-Horizon Exact-Weight Local SGD
di: Pasechnyuk-Vilensky, Dmitry, et al.
Pubblicazione: (2026)

Anisotropic Gaussian Smoothing for Gradient-based Optimization
di: Starnes, Andrew, et al.
Pubblicazione: (2024)

$\ell_{1}^{2}-η\ell_{2}^{2}$ regularization for sparse recovery
di: Li, Long, et al.
Pubblicazione: (2025)

SVD method for sparse recovery
di: Li, Long, et al.
Pubblicazione: (2025)

A unified vertical alignment and earthwork model in road design with a new convex optimization model for road networks
di: Sadhukhan, Sayan, et al.
Pubblicazione: (2025)

Adaptive Methods for Multiobjective Unit Commitment
di: Tevruez, Ece, et al.
Pubblicazione: (2025)

A Linear Convergence Result for the Jacobi-Proximal Alternating Direction Method of Multipliers
di: Choi, Hyelin, et al.
Pubblicazione: (2025)

Decentralised convex optimisation with probability-proportional-to-size quantization
di: Pasechniuk, Dmitrii, et al.
Pubblicazione: (2025)

Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
di: Bartz-Beielstein, Thomas, et al.
Pubblicazione: (2025)

Non-convergence to global minimizers in data driven supervised deep learning: Adam and stochastic gradient descent optimization provably fail to converge to global minimizers in the training of deep neural networks with ReLU activation
di: Do, Thang, et al.
Pubblicazione: (2024)

The Blueprints of Intelligence: A Functional-Topological Foundation for Perception and Representation
di: Di Santi, Eduardo
Pubblicazione: (2025)

Hierarchy of bounds in free orthotropic material optimization: From convex relaxations to Hashin-Shtrikman via sequential global programming
di: Tyburec, Marek, et al.
Pubblicazione: (2026)

Benders Cut Filtering for Affine Potential-Based Flow Problems with Robustness Scenarios and Topology Switching
di: Donkiewicz, Tim, et al.
Pubblicazione: (2026)

Coordinate Descent for SLOPE
di: Larsson, Johan, et al.
Pubblicazione: (2022)

Convergence Analysis of Fractional Gradient Descent
di: Aggarwal, Ashwani
Pubblicazione: (2023)

Primal-Dual iLQR
di: Sousa-Pinto, João, et al.
Pubblicazione: (2024)