|
Workshop
|
|
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
Paula Rodriguez-Diaz · Kai Wang · David Alvarez-Melis · Milind Tambe
|
|
|
Workshop
|
|
What is the Right Notion of Distance between Predict-then-Optimize Tasks?
Paula Rodriguez-Diaz · Kai Wang · David Alvarez-Melis · Milind Tambe
|
|
|
Workshop
|
|
Differentiable Approximations of Fair OWA Optimization
My Dinh · James Kotary · Ferdinando Fioretto
|
|
|
Workshop
|
|
Non-Parameteric Conformal Distributionally Robust Optimization
Yash Patel · Guyang Cao · Ambuj Tewari
|
|
|
Poster
|
Thu 2:30
|
Contrastive Predict-and-Search for Mixed Integer Linear Programs
Taoan Huang · Aaron Ferber · Arman Zharmagambetov · Yuandong Tian · Bistra Dilkina
|
|
|
Workshop
|
|
Implicit Optimization Bias of Next-token Prediction in Linear Models
Christos Thrampoulidis
|
|
|
Workshop
|
|
Implicit Optimization Bias of Next-token Prediction in Linear Models
Christos Thrampoulidis
|
|
|
Workshop
|
|
DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
Michael Cummins · Alberto Padoan · Keith Moffat · John Lygeros · Florian Dörfler
|
|
|
Poster
|
Thu 4:30
|
Online Algorithms with Uncertainty-Quantified Predictions
Bo Sun · Jerry Huang · Nicolas Christianson · Mohammad Hajiesmaili · Adam Wierman · Raouf Boutaba
|
|
|
Poster
|
Tue 2:30
|
Incremental Topological Ordering and Cycle Detection with Predictions
Samuel McCauley · Benjamin Moseley · Aidin Niaparast · Shikha Singh
|
|
|
Workshop
|
|
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization
Grigorii Veviurko · Wendelin Boehmer · Mathijs de Weerdt
|
|
|
Poster
|
Tue 4:30
|
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
Haitong LIU · Qiang Li · Hoi To Wai
|
|
