NeurIPS 2024 Conference Submissions

Achieving Constant Regret in Linear Markov Decision Processes
Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan Gu
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Gaussian Process Bandits for Top-k Recommendations
Mohit Yadav, Cameron N Musco, Daniel Sheldon
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
Yuezhu Xu, S Sivaranjani
- Published: 25 Sept 2024, Last Modified: 19 Dec 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Mixture of Link Predictors on Graphs
Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
Yu Yang, Siddhartha Mishra, Jeffrey N Chiang, Baharan Mirzasoleiman
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations
Zuowen Wang, Longbiao Cheng, Pehuen Moure, Niklas Hahn, Shih-Chii Liu
- Published: 25 Sept 2024, Last Modified: 18 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Retrieval & Fine-Tuning for In-Context Tabular Models
Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
Qian Xie, Raul Astudillo, Peter I. Frazier, Ziv Scully, Alexander Terenin
- Published: 25 Sept 2024, Last Modified: 16 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Online Budgeted Matching with General Bids
Jianyi Yang, Pengfei Li, Adam Wierman, Shaolei Ren
- Published: 25 Sept 2024, Last Modified: 06 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Risk-Averse Fine-tuning of Large Language Models
Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai
- Published: 25 Sept 2024, Last Modified: 12 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
ARC: A Generalist Graph Anomaly Detector with In-Context Learning
Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
- Published: 25 Sept 2024, Last Modified: 24 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Active learning of neural population dynamics using two-photon holographic optogenetics
Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew Storm Bull, Karel Svoboda, Kayvon Daie, Matthew D. Golub, Kevin Jamieson
- Published: 25 Sept 2024, Last Modified: 03 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
Momin Ahmad Khan, Yasra Chandio, Fatima M. Anwar
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Clustering with Non-adaptive Subset Queries
Hadley Black, Euiwoong Lee, Arya Mazumdar, Barna Saha
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Robust Mixture Learning when Outliers Overwhelm Small Groups
Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Gleb Novikov, Amartya Sanyal, David Steurer, Fanny Yang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Revisiting Score Propagation in Graph Out-of-Distribution Detection
Longfei Ma, Yiyou Sun, Kaize Ding, Zemin Liu, Fei Wu
- Published: 25 Sept 2024, Last Modified: 04 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training
Ruihong Yin, Vladimir Yugay, Yue Li, Sezer Karaoglu, Theo Gevers
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models
Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun
- Published: 25 Sept 2024, Last Modified: 10 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
DistrictNet: Decision-aware learning for geographical districting
Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Optimal Algorithms for Learning Partitions with Faulty Oracles
Adela Frances DePavia, Olga Medrano Martín del Campo, Erasmo Tani
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models
Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arroyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Achieving Domain-Independent Certified Robustness via Knowledge Continuity
Alan Sun, Chiyu Ma, Kenneth Ge, Soroush Vosoughi
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone