NeurIPS 2023 Conference Submissions

DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
Mohammadreza Pourreza, Davood Rafiei
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Borda Regret Minimization for Generalized Linear Dueling Bandits
Yue Wu, Tao Jin, Qiwei Di, Hao Lou, Farzad Farnoud, Quanquan Gu
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Mirror Diffusion Models for Constrained and Watermarked Generation
Guan-Horng Liu, Tianrong Chen, Evangelos Theodorou, Molei Tao
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
Sudhanshu Chanpuriya, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Zhao Song, Cameron N Musco
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Optimal Exploration for Model-Based RL in Nonlinear Systems
Andrew Wagenmaker, Guanya Shi, Kevin Jamieson
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows
David Skrill, Samuel Victor Norman-Haignere
- Published: 21 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
Pratik Karmakar, Debabrota Basu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Are Diffusion Models Vision-And-Language Reasoners?
Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Christopher Pal, Siva Reddy
- Published: 21 Sept 2023, Last Modified: 13 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
FAMO: Fast Adaptive Multitask Optimization
Bo Liu, Yihao Feng, Peter Stone, qiang liu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
PI-FL: Personalized and Incentivized Federated Learning
Ahmad Faraz Khan, Xinran Wang, Qi Le, Azal Ahmad Khan, Haider Ali, Jie Ding, Ali Anwar, Ali R. Butt
- 10 May 2023 (modified: 27 Mar 2024)
- Submitted to NeurIPS 2023
- Readers: Everyone
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
Mihir Prabhudesai, Tsung-Wei Ke, Alexander Cong Li, Deepak Pathak, Katerina Fragkiadaki
- Published: 21 Sept 2023, Last Modified: 06 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Individual Arbitrariness and Group Fairness
Carol Xuan Long, Hsiang Hsu, Wael Alghamdi, Flavio Calmon
- Published: 21 Sept 2023, Last Modified: 12 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects
Zhuofan Ying, Peter Hase, Mohit Bansal
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
What Can We Learn from Unlearnable Datasets?
Pedro Sandoval-Segura, Vasu Singla, Jonas Geiping, Micah Goldblum, Tom Goldstein
- Published: 21 Sept 2023, Last Modified: 20 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Online Ad Allocation with Predictions
Fabian Christian Spaeh, Alina Ene
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
Xiyang Liu, Prateek Jain, Weihao Kong, Sewoong Oh, Arun Suggala
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
PAPR: Proximity Attention Point Rendering
Yanshu Zhang, Shichong Peng, Seyed Alireza Moazenipourasil, Ke Li
- Published: 21 Sept 2023, Last Modified: 19 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
Berthy Feng, Katherine Bouman
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
On the Sublinear Regret of GP-UCB
Justin Whitehouse, Aaditya Ramdas, Steven Wu
- Published: 21 Sept 2023, Last Modified: 20 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
On Imitation in Mean-field Games
Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Lauriere, Matthieu Geist
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
Sarath Sreedharan, Michael Katz
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Constrained Proximal Policy Optimization
Chengbin Xuan, Feng Zhang, Faliang Yin, Hak-Keung Lam
- 10 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Strategic Classification under Unknown Personalized Manipulation
Han Shao, Avrim Blum, Omar Montasser
- Published: 21 Sept 2023, Last Modified: 30 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
$k$-Means Clustering with Distance-Based Privacy
Alessandro Epasto, Vahab Mirrokni, Shyam Narayanan, Peilin Zhong
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone