BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization

24 February 2025

Papers citing "BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization"

31 / 31 papers shown

Title
Revenue-Optimal Efficient Mechanism Design with General Type Spaces Siddharth Prasad Maria-Florina Balcan Tuomas Sandholm 42 0 0 19 May 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong Chao Yu Xiaojun Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 87 4 0 18 Feb 2025
On Diffusion Models for Multi-Agent Partial Observability: Shared Attractors, Error Bounds, and Composite Flow Tonghan Wang Heng Dong Yanchen Jiang David C. Parkes Milind Tambe DiffM 67 3 0 17 Oct 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Patrick Esser Sumith Kulal A. Blattmann Rahim Entezari Jonas Muller ... Zion English Kyle Lacey Alex Goodwin Yannik Marek Robin Rombach DiffM 197 1,187 0 05 Mar 2024
Multi-Sender Persuasion: A Computational Perspective Safwan Hossain Tonghan Wang Tao Lin Yiling Chen David C. Parkes Haifeng Xu 40 10 0 07 Feb 2024
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution Aaron Lou Chenlin Meng Stefano Ermon DiffM 58 91 0 25 Oct 2023
Deep Contract Design via Discontinuous Networks Tonghan Wang Paul Dutting Dmitry Ivanov Inbal Talgam-Cohen David C. Parkes 19 13 0 05 Jul 2023
Protein Design with Guided Discrete Diffusion Nate Gruver Samuel Stanton Nathan C. Frey Tim G. J. Rudner I. Hotzel J. Lafrance-Vanasse A. Rajpal Kyunghyun Cho A. Wilson DiffM 52 108 0 31 May 2023
A Scalable Neural Network for DSIC Affine Maximizer Auction Design Zhijian Duan Haoran Sun Yurong Chen Xiaotie Deng 39 28 0 20 May 2023
Pix2Video: Video Editing using Image Diffusion Duygu Ceylan C. Huang Niloy J. Mitra DiffM VGen 59 249 0 22 Mar 2023
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning Taoan Huang Aaron Ferber Yuandong Tian B. Dilkina Benoit Steiner 58 25 0 03 Feb 2023
Imagen Video: High Definition Video Generation with Diffusion Models Jonathan Ho William Chan Chitwan Saharia Jay Whang Ruiqi Gao ... Diederik P. Kingma Ben Poole Mohammad Norouzi David J. Fleet Tim Salimans VGen 86 1,501 0 05 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 85 917 0 07 Sep 2022
Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch Tianyu Zhang Amin Banitalebi-Dehkordi Yong Zhang BDL OffRL 71 14 0 14 Jun 2022
Learning to branch with Tree MDPs Lara Scavuzzo F. Chen Didier Chételat Maxime Gasse Andrea Lodi Neil Yorke-Smith K. Aardal AI4CE 52 52 0 23 May 2022
Differentiable Economics for Randomized Affine Maximizer Auctions Michael J. Curry Tuomas Sandholm John P. Dickerson 51 30 0 06 Feb 2022
Learning Large Neighborhood Search Policy for Integer Programming Yaoxin Wu Wen Song Zhiguang Cao Jie Zhang 36 43 0 01 Nov 2021
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond Maria-Florina Balcan Siddharth Prasad Tuomas Sandholm Ellen Vitercik 9 37 0 08 Jun 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 229 6,293 0 26 Nov 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 97 58 0 12 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 213 17,550 0 19 Jun 2020
Auction learning as a two-player game Jad Rahme Samy Jelassia Matthew Weinberga 26 45 0 10 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 127 3,803 0 12 Jul 2019
Exact Combinatorial Optimization with Graph Convolutional Neural Networks Maxime Gasse Didier Chételat Nicola Ferroni Laurent Charlin Andrea Lodi GNN CML 93 481 0 04 Jun 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 177 5,024 0 19 Jun 2018
Automated Mechanism Design via Neural Networks Weiran Shen Pingzhong Tang Song Zuo 18 101 0 09 May 2018
Learning to Branch Maria-Florina Balcan Travis Dick Tuomas Sandholm Ellen Vitercik 26 172 0 27 Mar 2018
Optimal Auctions through Deep Learning: Advances in Differentiable Economics Paul Dutting Zhe Feng Harikrishna Narasimhan David C. Parkes S. Ravindranath 29 34 0 12 Jun 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 189 5,323 0 03 Nov 2016
ParamILS: An Automatic Algorithm Configuration Framework Frank Hutter Thomas Stuetzle Kevin Leyton-Brown T. Stützle 61 1,066 0 15 Jan 2014
Algorithm Runtime Prediction: Methods & Evaluation Frank Hutter Lin Xu Holger H. Hoos Kevin Leyton-Brown 47 418 0 05 Nov 2012