arxivPaper only2026-11-03
On the Role of Geometry in Solving Variational Inequalities
The geometry of constraints in variational inequalities (VIs) plays a central role in applications ranging fro
数学・理論最適化
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数学・理論
最適化、確率統計、解釈可能性など、手法選定や評価設計の土台になる理論を扱います。
最適化確率・統計情報理論線形代数解釈可能性 (XAI)
人気記事
arxivPaper only2026-11-02
When Latent Dynamics Meet Data Assimilation: A Benchmark of Koopman-Type Representations
Koopman representations describe nonlinear dynamics through linear evolution in a transformed space, offering
数学・理論最適化
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arxivPaper only2026-11-02
Probabilistic Steering of Generative Priors for Lab-in-the-Loop Antibody Optimization
Therapeutic antibody development is often framed as comprising two discrete stages: initial discovery of novel
説明可能条件最適化数学・理論最適化生成
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新着記事
arxivPaper only2026-11-03
On the Role of Geometry in Solving Variational Inequalities
The geometry of constraints in variational inequalities (VIs) plays a central role in applications ranging fro
数学・理論最適化
→
arxivPaper only2026-11-02
When Latent Dynamics Meet Data Assimilation: A Benchmark of Koopman-Type Representations
Koopman representations describe nonlinear dynamics through linear evolution in a transformed space, offering
数学・理論最適化
→
arxivPaper only2026-11-02
Probabilistic Steering of Generative Priors for Lab-in-the-Loop Antibody Optimization
Therapeutic antibody development is often framed as comprising two discrete stages: initial discovery of novel
説明可能条件最適化数学・理論最適化生成
→
未読 36件
arxivPaper only2026-11-03
On the Role of Geometry in Solving Variational Inequalities
The geometry of constraints in variational inequalities (VIs) plays a central role in applications ranging fro
数学・理論最適化
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
- コスト
- Medium
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arxivPaper only2026-11-02
When Latent Dynamics Meet Data Assimilation: A Benchmark of Koopman-Type Representations
Koopman representations describe nonlinear dynamics through linear evolution in a transformed space, offering
数学・理論最適化
- 用途
- 技術検証・論文読解補助
- 難易度
- Hard
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arxivPaper only2026-11-02
Probabilistic Steering of Generative Priors for Lab-in-the-Loop Antibody Optimization
Therapeutic antibody development is often framed as comprising two discrete stages: initial discovery of novel
説明可能条件最適化数学・理論最適化生成
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- 生成
- 難易度
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arxivPaper only2026-11-02
Variational Functional Neural Networks (vfNN)
We present a variational functional neural network (vfNN) algorithm that optimizes physically motivated contin
数学・理論最適化
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arxivPaper only2026-11-02
A Bayesian Framework for Safe Optimal Control of Unknown Systems from Input-Output Data
As control engineering is applied to increasingly complex systems, learning-based control, which uses empirica
数学・理論確率・統計生成
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arxivPaper only2026-11-02
DynSL: Resource-Adaptive Model Training across Heterogeneous Edge Devices
Training models over data distributed across edge devices presents a trade-off: centralizing data simplifies t
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arxivPaper only2026-11-02
When Does Design Thinking Work? A Convergence Theorem for the Iterate-Test Core
Design thinking is widely taught as an iterative loop of ideation, prototyping, and testing, yet conditions un
品質予測/異常検知数学・理論最適化
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arxivPaper only2026-11-02
The Staged Pandora's Box: Reservation Indices for Multi-Fidelity Bayesian Optimization
A staged search must decide which candidate to advance next and when to stop. Some observations only inform la
少数データ向きCPUで試しやすい品質予測/異常検知条件最適化数学・理論最適化
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arxivPaper only2026-11-02
Networked AI: Architecture, Theory, and Applications
Recent advances in Artificial Intelligence (AI), particularly large-scale deep learning, have been driven by m
説明可能数学・理論解釈可能性 (XAI)異常検知
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arxivPaper only2026-11-02
Think with Skills: Pseudocode Planning Before Execution for Advanced Reasoners
Language model agents often struggle with complex tasks even when equipped with expert-written skills. Such sk
数学・理論最適化テキスト
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arxivPaper only2026-11-02
Persuasion by Parts
Classical Bayesian persuasion assumes that an information designer can condition signals on the entire state.
数学・理論確率・統計テキスト
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arxivPaper only2026-11-01
Detailed Derivation of The Backpropagation Algorithm
Backpropagation is the standard method for computing the gradients that train neural networks, but it is usual
数学・理論最適化
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arxivPaper only2026-10-31
Minimum-Norm Interpolation in Weighted Variation Spaces: Direct and Inverse Problems
We study minimum-norm interpolation in weighted variation spaces generated by ReLU$^s$ ridge functions on the
数学・理論最適化
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arxivPaper only2026-10-30
Instance-dependent sequential limits as an exact information ledger
Instance-dependent limits for bandit regret, sequential tests, best-arm identification and Markov decision pro
数学・理論最適化
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arxivPaper only2026-10-30
PDE-Residual-Informed Kriging
Physics-informed Gaussian process (GP) methods provide a probabilistic framework for PDE solving. Existing app
少数データ向き品質予測/異常検知数学・理論最適化
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arxivPaper only2026-10-30
Visual-Inertial RGB-D SLAM with Encoders for a Differential Wheeled Robot
Recent years have seen multiple impressive results in visual-inertial odometry (VIO) techniques, by which accu
数学・理論最適化検出生成画像
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arxivPaper only2026-10-30
Flexibility-Aware Robotic Manipulation: Deformation Estimation, Kinematics, and Control via Distributed Inertial Measurement
Flexible robot links challenge the rigid-body assumption, making joint measurements alone insufficient for acc
センサ/時系列数学・理論最適化
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arxivPaper only2026-10-30
Kidney Exchange with Dual Donors
Kidney exchange programs enable patients with incompatible living donors to receive transplants by exchanging
数学・理論最適化
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arxivPaper only2026-10-29
Hidden Disparities in Ranking: Category-Aware Fairness via Distributional Stability
We study the problem of fair ranking in recommender systems. We provide a formal probabilistic framework in wh
MI向き数学・理論確率・統計
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- 技術検証・論文読解補助
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arxivPaper only2026-10-29
First-Order Bilevel Optimization for Non-truthful Auction Design
Automated mechanism design has enabled the learning of complex auction mechanisms using neural networks. Howev
数学・理論最適化
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arxivPaper only2026-10-27
An $Ω(T^{3/4})$ lower bound for projection-free online learning with linear minimization oracles
This work considers projection-free online learning algorithms with linear minimization oracles for handling t
数学・理論最適化
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arxivPaper only2026-10-27
PDE-Based Bounds on Optimal Exponents in Active Simple Hypothesis Testing
We present general upper and lower bounds on the optimal error exponent for the Active Simple Hypothesis Testi
数学・理論最適化
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arxivPaper only2026-10-26
Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Already the Smallest Communication Radius Gives the Best-Possible Speed-Up
Besides domination-based algorithms such as the NSGA-II, the decomposition-based MOEA/D is one of the most pop
数学・理論最適化
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arxivPaper only2026-10-26
Follow the Regularized Leader Does Not Converge in Constrained Optimization
Follow the regularized leader (FTRL) is a foundational algorithm in online learning whose regret properties ha
数学・理論最適化
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arxivPaper only2026-10-19
Tight Inapproximability for Generalized Circuits
Generalized circuits are a fundamental tool for establishing PPAD-hardness and membership of approximate equil
数学・理論確率・統計
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arxivPaper only2026-10-19
k-Submodular Cover Problem with a Matroid Constraint
We investigate k-submodular cover problem with a matroid constraint on an n-element ground set V , which seeks
数学・理論最適化
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arxivPaper only2026-10-18
How Far Can an Agent Push? Trust-Safety Margins in Live Language-Based Economic Games
Game theory identifies when a strategic action should be accepted, but not how long a live, language-based cou
数学・理論確率・統計
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arxivPaper only2026-10-17
Spherical-Design Oracles for Zeroth-Order Optimisation: Deterministic, Variance-Free Gradient Estimation
In this work, we develop a zeroth-order (ZO) method that estimates the gradient with minimal bias and variance
数学・理論最適化
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arxivPaper only2026-10-16
Optimally Curating an Event
We study the optimal design of a self-financing event, a problem that requires balancing the recruitment of co
品質予測/異常検知数学・理論確率・統計
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arxivPaper only2026-10-15
A restart rule for genetic algorithms based on Schnabel census
A new adaptive restart rule for Genetic Algorithms (GAs) is considered. The rule is based on the Schnabel Cens
数学・理論最適化
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arxivPaper only2026-10-14
What You Earn from What You Learn: Characterization and Complexity of the Value of Information
We examine the value of information in extensive-form decision problems: the largest multiplicative gain that
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arxivPaper only2026-10-13
CLS Hardness of 2D Min-Max Optimization with Product Constraints
We study the complexity of computing approximate first-order Nash equilibria in min-max optimization problems
数学・理論最適化
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arxivPaper only2026-09-30
The Quantum Sphere: A Physically Realizable Optimization Benchmark with Provable Linear Convergence in White- and Black-Box Settings
We revisit an established Quantum Control objective, characterize its exact local metric geometry, and reposit
品質予測/異常検知条件最適化数学・理論最適化
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arxivPaper only2026-09-29
Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-Policy
Constrained Reinforcement Learning has recently gained increasing attention in the field of Safe Autonomous Dr
数学・理論最適化強化学習
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arxivPaper only2026-09-29
Hybrid Joint-Selective Optimization: Reduced-Space Levenberg-Marquardt Refinement of Low-Dimensional Parameters of Interest
This paper introduces a hybrid joint-selective optimization (HJSO) framework for large-scale numerical problem
品質予測/異常検知数学・理論最適化
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arxivPaper only2026-09-28
Arbitrary-Accuracy Neural Approximation with Optimal Neuron Count and Near-Optimal Bit Complexity
We study the minimum number of hidden neurons required for arbitrary-accuracy approximation of multivariate Hö
数学・理論情報理論
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