Канал: 运筹OR帷幄(Operation Research China Society) - Смотреть видео c канала или скачать видео c канала в MP4, музыку MP3 на телефон или компьютер.

$Math4DS Live NO.39 | Vivek Farias, MIT-Causal inference in panel data w\ general processing patterns$

「ORTalk 28」斯坦福 Madeleine Udell：OptiMUS: 大型语言模型在混合整数规划建模中的应用

运筹OR帷幄(Operation Research China Society)

运筹OR帷幄(Operation Research China Society)

「ORTalk 28」斯坦福 Madeleine Udell：OptiMUS: 大型语言模型在混合整数规划建模中的应用

「OR Talk 29」电子科大 许超：同余约束下的组合优化问题

「OR Talk 26」UIUC 赵梓硕：贝叶斯机制设计在区块链交易费用分配中的应用

「职场会客厅第十五期」对话JDL前正高级工程师&北京工商大学董红宇教授

「留学会客厅第9期」对话澳大利亚新南威尔士大学全奖博士

「留学会客厅第8期」学术界or工业界？硅谷人谈美国商学院博士和教职申请

「留学会客厅第5期」对话香港理工大学（商学院）在读博士

「留学会客厅第6期」对话英国华威大学商学院博士

「OR会客厅NO.8」运筹学&决策智能创业二三事

「留学会客厅第2期」对话美国康奈尔大学运筹学博士

「留学会客厅第1期」美国麻省理工学院和新加坡国立大学运筹学博士申请

「OR Talk NO.25」佐治亚理工谢瑶：从数据到决策：统计学、ML与OR的相遇

「职场会客厅第十三期」对话久章智能创始人张新杰

「留学会客厅第4期」对话英国伯明翰大学能源优化博士杨柳

「留学会客厅第3期」对话美国理海大学工业工程博士李振东

「TechTalk 41」彭天翼：当A/B实验平台遇上强化学习

「职场会客厅第12期」运筹学在供应链整合优化服务的应用

「OR Talk NO.22」一种城市无人机空运航线网络规划方法

「OR Talk NO.24」当机器学习遇上运筹学：PyEPO与端对端预测后优化

「OR Talk NO.23」美国大学生数学建模大赛特等奖(O奖)经验分享

「TechTalk 39」哥大 刘小洋：开源FinRL和FinGPT

「TechTalk 40」菜鸟网络 陈再毅：针对双边约束的在线资源分配问题的接近最优算法

「职场会客厅第11期」对话深圳市大数据研究院通用求解器实验室研究科学家王阿康

「OR Talk NO.21」记忆算法的新进展及本科生的科研路

「TechTalk 38」Lyft 连真：精确算法，精准决策：用“交互式优化”解决学校上下学时间问题

「职场会客厅第10期」对话阿里达摩院MindOpt优化求解器高级算法专家王孟昌和产品经理吴悠

「TechTalk 37」阿里 吴悠：达摩院MindOpt优化求解器最新进展

「行业Talk第五季NO.3」联想：运筹学在联想供应链物料需求计划中的落地实践

「职场会客厅第9期」对话蓝幸软件CEO岳仍鹏：中美供应链的区别及运筹学在供应链领域的应用

「职场会客厅第8期」对话杉数科技联合创始人王曦 用冷静的数据思维,解复杂的商业问题

「TechTalk 36」刘小洋：开源FinRL助力数字经济

「行业Talk」驭策供应链：运筹学在制造业产销协同规划中的落地实践

Math4DS NO.25 | Robust Online Learning with Applications to Assortment Recommendation

Math4DS Live NO.27 | David Simichi-Levi, Professor of Engineering Systems at MIT

Math4DS Live NO.23 | Susan Murphy, Professor of Computer and Statistics at Harvard University

Math4DS Live NO.24 | Sean Meyn, Professor, Depart. of Electrical&Computer Engineering, Uni'o'Florida

Math4DS Live NO.35 | Daniel Kuhn, EPFL-

Math4DS Live NO.33 | Faster convergence in statistical and Reinforcement Learning

Math4DS Live NO.32 | Prof. Dimitris Bertsimas of MIT, ML from the Perspective of Modern Optimization

Math4DS Live NO.31 | Prof. Adam Wierman, Depar' of Computational& Mathematic Sciences (CMS), Caltech

Math4DS Live NO.36 | Real-time Distributed Decision Making for Networked Systems--Na Li, Harvard

Math4DS Live NO.37 | Robustness of Two-Layer Neural Networks--S. Bubeck, Microsoft Research

Math4DS Live NO.38 | Global Convergence of EM Algorithm -- H. Zhou, Yale University

Math4DS Live NO.42|Daniel Spielman Balancing Covariates in Randomized Experiments

Math4DS Live NO.39 | Vivek Farias, MIT-Causal inference in panel data w\ general processing patterns

Math4DS Live NO.40 | C. Caramani, MLE and EM Algorithms for Log-Concave Mixed Functions

Math4DS Live NO.41 | Jorge Nocedal Derivative-Free Optimization of Noise Functions

Math4DS Live NO.44 | Professor Cattaneo of Princeton--On Binscatter

Math4DS Live NO.43 | Professor Willett, University of Chicago ML and Inverse Imaging Problems

Math4DS Live NO.46 | Prof. David Morton from NWU Distribution Robust 2& Multi-Level StochasticProgam

Math4DS Live NO.45 | Professor Stephen Wright of Wisconsin The role of complexity bounds in optimiza

Math4DS Live NO.52 | Prof. Yao Xie, GIT Statistical Inference of Space-Time Point Processes

Math4DS Live NO.54 | Prof Peng Sun, Duke Uni' Continuous Time Contract Design& Stochastic OptControl

Math4DS Live NO.48 | Stanford Prof Benjamin Van Roy Effective Reinforcement Learning for Agent State

Stochastic Processing Network Controls via Deep Reinforcement Learning, Jim Dai, Cornell University

Statistical Optimization Methods for Machine Learning, Lin Xiao, Microsoft Research

Convergence and Sample Complexity of Gradient Methods for the Model-Free LQR problem

Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by ML

Policy Optimization for Linear Optimal Control with Guarantees of Robustness, Tamer Başar, UIUC

Synthetic Interventions, Causal Inference using Observational Data, Devavrat Shah, MIT

Optimization with Momentum: Dynamical, Variational, and Symplectic Perspectives, Michael I. Jordan

Stress Minimization for Low-Diameter Graphs, John Urschel, MIT

Selective Machine Learning of Doubly Robust Functionals, Eric J. Tchetgen Tchetgen, Wharton UPenn

Advanced Planning and Scheduling System, Ouyang Wenli, Lenovo AI Lab

2022 OR Enterprise Award -- Opening Speech

Some Recent Insights on Transfer-Learning, Samory Kpotufe, Columbia University

Smoothness in Nonsmooth Optimization, Adrian S. Lewis, Cornell University

Recent Advances in Stochastic Programming, Alex Shapiro, Georgia Institute of Technology

Nonparametric Active Learning with Kernels and Neural Networks, Robert Nowak, UWM

Representation, Modeling, and Gradient Based Optimization in Reinforcement Learning, Sham Kakade, UW

Recent Progress on Practical Optimization in Data Science, Robert M. Freund, MIT.

Distributional Robust Optimization, Online Linear Programming, Yinyu Ye, Stanford University

Statistical Inference on Membership Profiles in Large Network, Jianqing Fan, Princeton University

On the Statistical Complexity of Reinforcement Learning, Mengdi Wang, Princeton University

Ultra Sparse Models of Multiway Data, Alfred O. Hero, Michigan University

20220425 OR Talk NO 33 杉数科技焦欣：杉数求解器COPT简介与入门教学

20211221 OR Talk NO 32 陈贤邦博士：数据驱动在电力系统中的应用：以经济性导向的预测思路

「OR Talk 29」电子科大许超：同余约束下的组合优化问题

「TechTalk 39」哥大刘小洋：开源FinRL和FinGPT

「TechTalk 40」菜鸟网络陈再毅：针对双边约束的在线资源分配问题的接近最优算法

「TechTalk 37」阿里吴悠：达摩院MindOpt优化求解器最新进展

「职场会客厅第8期」对话杉数科技联合创始人王曦用冷静的数据思维,解复杂的商业问题

20210221 OR Talk NO 22 李玉喜博士：深度强化学习进展：从 DQN 到 Agent57