2024-11-06
20,
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This talk reviews the theoretical foundations underlying this fusion, including the concepts of primal and dual optimization proxies, predict then optimize, self-supervised learning, and deep multi-stage policies.
2024-04-15
20,
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Victor de la Pena, professor of Statistics at Columbia University, presents during AI4OPT Tutorial Lectures.
2024-04-10
20,
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Aditya Ramdas (PhD), assistant professor in the Departments of Statistics and Machine Learning at Carnegie Mellon University, presents during AI4OPT Tutorial Lectures.
2024-04-04
20,
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Lei Ying, professor at the Electrical Engineering and Computer Science department of University of Michigan.
2024-03-26
20,
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Joel A. Tropp, professor of Applied & Computational Mathematics at the California Institute of Technology, presents during AI4OPT Tutorial Lectures.
2024-03-15
20,
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CANCELLED / Phil Kim, a Program Director at ARPA-E, will present, “Transforming energy technologies with ARPA-E.”
2024-03-14
20,
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Alexander Rakhlin, professor in Brain and Cognitive Sciences and IDSS, MIT.
2024-03-07
20,
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CANCELLED / Jiawei Zhang, Michael Armellino Professor in Business and Professor of Information, Operations and Management Sciences, New York University's Leonard N. Stern School of Business.
2024-02-22
20,
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Robert Freund, the Theresa Seley Professor in Management Science at MIT will present, "Level-Set Geometry and the Performance of Restarted-PDHG for Conic LP."
2024-02-15
20,
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Wolfram Wiesemann, a professor of Analytics and Operations at Imperial College London, will present: "Large Scale and Data-Driven Markov Decision Processes."
2024-02-08
20,
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Sherief Reda, professor at the School of Engineering (SoE) and Computer Science Department, Brown University.
2023-11-16
20,
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CANCELLED / Jong-Shi Pang, a professor of Industrial and Systems Engineering at University of Southern California, will give a talk on the topic: "Heaviside Composite Optimization: Continuous meets Discrete"
2023-11-06
20,
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Emma Frejinger, a professor in the Department of Computer Science and Operations Research at Université de Montréal, will present "A Model-Free Approach for Solving Choice-Based Competitive Facility Location Problems Using Simulation and Submodularity"
2023-10-26
20,
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Lei Ying, professor at the Electrical Engineering and Computer Science Department of the University of Michigan will give talk on the topic: "Are CMDPs Fundamentally Harder than MDPs?"
2023-10-19
20,
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Neil Walton, a Professor in Operations Management at Durham University Business School, will present “Exponential Concentration of Stochastic Approximation with Non-vanishing Gradient.”
2023-10-12
20,
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Ayalvadi Ganesh, an Associate Professor at the School of Mathematics at University of Bristol, will give talk on topic: "Multi-Agent Multi-Armed Bandits"
2023-10-05
20,
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Rui Gao, an Assistant Professor in the Department of Information, Risk, and Operations Management at the McCombs School of Business at the University of Texas at Austin, will present "Optimal Robust Policy for Feature-Based Decision-Making."
2023-10-03
20,
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Pascal Poupart, a Professor in the David R. Cheriton School of Computer Science at the University of Waterloo (Canada), will present "Inverse Constraint learning for Autonomous Driving and Robotics."
2023-09-21
20,
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Mohsen Bayati, professor in Operations, Information, and Technology at the Graduate School of Business at Stanford University and an Amazon Scholar, will present "A General Method for Experimentation Under Network Interference."
2023-09-14
20,
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Akshay Krishnamurthym, principal research manager at Microsoft Research in New York City,
2023-08-31
20,
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Anqi Wu to present on topic "Improving Variational Inference for Complex Probabilistic Modeling."
2023-08-24
20,
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Mohit Prabhushankar to present on topic "Towards Robust Neural Networks: Explainability, Uncertainty, and Intervenability."
2023-05-11
20,
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Wim Nuijten presents on The Eindhoven Artificial Intelligence Systems Institute, Supply Chain Optimization, and Football during seminar series.
2023-04-17
20,
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Jiaming Xu, associate professor at the Fuqua School of Business at Duke, presents during AI4OPT Tutorial Lectures
2023-04-06
20,
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Devavrat Shah of Massachusetts Institute of Technology will discuss the topic:On Counterfactual Inference With Unobserved Confounding via Exponential Family.
2023-03-30
20,
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Eytan Modiano, MIT, will discuss topic: An Algorithm for Crowdsourcing With Hard and Easy Tasks.
2023-03-13
20,
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Sanjay Shakkottai, University of Texas at Austin
2023-03-09
20,
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Garud Iyengar, an operations professor, at Industrial Engineering and Operations Research at Columbia University will give talk on the topic: Scalable Computation of Causal Bounds
2023-03-02
20,
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Rayadurgam Srikant, UIUC - University of Illinois Urbana-Champaign
2023-02-23
20,
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Subbarao Kambhampati, ASU - Arizona State University
2023-02-16
20,
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Stefanie Jegelka, an associate professor in the department of EECS at MIT talks on the topic: Machine Learning for Discrete Optimization: Graph Neural Networks, Generalization Under Shifts, and Loss Functions
2023-02-09
20,
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Andres Ferragut, a professor of networks at Universidad ORT Uruguay, talks on the topic: Load Balancing for Spatially Distributed Demands With Applications to Electrical Vehicle Charging
2023-02-02
20,
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Gautam Kamath, an assistant professor at the David R. Cheriton School of Computer Science at the University of Waterloo talks on the topic: Efficient Private Mean Estimation
2023-01-26
20,
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Fatma Kilinç-Karzan, an associate professor of operations research in the Tepper School of Business at Carnegie Mellon University talks on the topic: Accelerated First-order Methods for a Class of Semidefinite Programs
2023-01-19
20,
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Anirbit Mukherjee, an assistant professor at the University of Manchester, to talk on the topic: Provable Training of Neural Nets With One Layer of Activation
2022-12-01
20,
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Weijun Xie, an ISyE assistant professor to talk on the topic: On Dantzig-Wolfe Relaxation of Rank Constrained Optimization: Exactness, Rank Bounds, and Algorithms
2022-11-14
20,
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AI4OPT is hosting a multi-part tutorial the week of November 14, 2022. The tutorial consists of four white-board talks.
2022-11-10
20,
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Yinyu Ye, a Stanford University professor to talk on the topic: Recent Developments on Optimization Algorithms for Convex and Nonconvex Optimization
2022-11-03
20,
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Soroosh Shafieezadeh Abadeh, a postdoctoral researcher at Tepper School of Business at Carnegie Mellon University will present on the topic: Semi-discrete Optimal Transport: Hardness, Regularization and Numerical Solution
2022-10-27
20,
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Dylan Foster, a senior researcher at Microsoft Research New England to talk on the topic: The Statistical Complexity of Interactive Decision-Making
2022-10-20
20,
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Karthyek Murthy, an Assistant Professor in Singapore University of Technology & Design to talk on the topic: Optimizing Tail Risks With Limited Samples: Can Algorithms Engineer Effective Reductions in Variance & Model-bias?
2022-10-13
20,
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Spyros Chatzivasileiadis, Associate Professor and Head of Section for Power Systems (PWR) at the Division for Power and Energy Systems, at the Department of Wind & Energy will give talk on topic: Machine Learning for Power Systems: Is It Time To Trust It?
2022-10-06
20,
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Chi Jin, an assistant professor at the Electrical and Computer Engineering department of Princeton University will speak on the topic: When Is Partially Observable Reinforcement Learning Not Scary?
2022-09-29
20,
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Satyen Kale, a research scientist at Google Research will speak on the topic: Optimization Algorithms for Heterogeneous Clients in Federated Learning
2022-09-15
20,
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AI4OPT Seminar Series: Hamsa Bastani will speak on Near-Optimal Decision-Aware Learning for Global Health Supply Chains
