文章
二〇二三
二〇二二
- Analytics for an Online Retailer: Demand Forecasting and Price Optimization
- Nonparametric learning methods
- Parametric learning methods
- Multi-armed Bandits (2)
- Optimal and Approximate Policies in Multiperiod, Multilocation Inventory Models with Transshipments
- 几种常见的需求模型
- Data-driven research in retail operations—A review
- Smart “Predict, then Optimize”
- Lecture 8: Policy Gradient
- Online Convex Optimization
- Online Convex Optimization
- Dynamic Supply Risk Management with Signal-Based Forecast, Multi-Sourcing, and Discretionary Selling
- Stochastic Dominance
- Latex Trick
- 统计模拟
- Revenue Management and the Rise of the Algorithmic Economy
- Inventory Pooling Under Heavy-Tailed Demand
- Transshipment Between Overconfident Newsvendors
- Effects of Centralization on Expected Costs in a Multi-Location Newsboy Problem
- Inverse of the sum of matrices
- The Optimizer’s Curse: Skepticism and Postdecision Surprise in Decision Analysis
- 风险测度 — Risk Measure
- 图上的匹配
- Ellipsoid Algorithm 椭球算法
- Total Unimodularity
- Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems
- Robust Satisficing
- 整数线性规划模型
- 网络流的原始对偶算法
- A quantitative method for assessing resilience of interdependent infrastructures
- Interior-point methods
- 线性规划的原始对偶算法
- From Predictive to Prescriptive Analytics
- Data-Driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment
- 多面体与线性不等式组
- A Markov Chain Approximation to Choice Modeling
- Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint
- 次梯度与次梯度方法
- H-index 的计算
- 泛函分析小结（一）
- Facility Location: A Robust Optimization Approach
- 函数的连续性
- Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba
- Multi-armed Bandits (1)
- 离散选择模型 Discrete Choice Models
- Lecture 5: Value Function Approximation
- Lecture 4.5: n-step Bootstrapping
- The Big Data Newsvendor: Practical Insights from Machine Learning
- Operations Research Algorithms Drive Intelligent Warehouse Robots to Work
- Lecture 4: Model Free Control
- Lecture 3: Model Free Policy Evaluation
- Lecture 2: Making Sequences of Good Decisions Given a Model of the World
- Dynamic Inventory Allocation with Demand Learning for Seasonal Goods
- On Implications of Demand Censoring in the Newsvendor Problem
- Robust Approximation to Multiperiod Inventory Management
- Regret in the Newsvendor Model with Partial Information
- Large-Scale Linear Optimization
- Unconstrained Minimization
- Duality
- Convex Optimization Problem
- Data-Driven Inventory Control with Shifting Demand
- A practical inventory control policy using operational statistics
- Convex Function
- Convex Function — 续
- Convex Set
- Convex Set — 续
- 在 Jupyter 中安装 R 和 Julia
二〇二一
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- Concentration of sums of independent random variables
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- Random vectors in high dimensions
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- Random matrices
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- Concentration without independence
- 纳什均衡与相关均衡
- 随机个随机变量的和的性质