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Poster
Tue 9:00 Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
Aritra Mitra · Arman Adibi · George J. Pappas · Hamed Hassani
Poster
Thu 14:00 Near-Optimal Multi-Agent Learning for Safe Coverage Control
Manish Prajapat · Matteo Turchetta · Melanie Zeilinger · Andreas Krause
Workshop
PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library with Linear Objective Function
Bo Tang · Elias Khalil
Workshop
Neural Coarsening Process for Multi-level Graph Combinatorial Optimization
Hyeonah Kim · Minsu Kim · Changhyun Kwon · Jinkyoo Park
Workshop
Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors
Tom Savage · Nausheen Basha · Omar Matar · Antonio del Rio Chanona
Poster
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
Zhiyang Chen · Yousong Zhu · Zhaowen Li · Fan Yang · Wei Li · Haixin Wang · Chaoyang Zhao · Liwei Wu · Rui Zhao · Jinqiao Wang · Ming Tang
Workshop
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer
Lucio M Dery · Abram Friesen · Nando de Freitas · Marc'Aurelio Ranzato · Yutian Chen
Poster
Thu 9:00 Tractable Optimality in Episodic Latent MABs
Jeongyeol Kwon · Yonathan Efroni · Constantine Caramanis · Shie Mannor
Poster
Thu 14:00 Distributed Distributionally Robust Optimization with Non-Convex Objectives
Yang Jiao · Kai Yang · Dongjin Song
Poster
Thu 9:00 Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Peter Wang · Nan Wu · Hang Yang · Cong Hao · Pan Li
Workshop
Fast Implicit Constrained Optimization of Non-decomposable Objectives for Deep Networks
Yatong Chen · Abhishek Kumar · Yang Liu · Ehsan Amid
Poster
Tue 9:00 Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes
Zeyue Xue · Jianming Liang · Guanglu Song · Zhuofan Zong · Liang Chen · Yu Liu · Ping Luo