NeurIPS 2023 Conference Submissions

When Does Optimizing a Proper Loss Yield Calibration?
Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu, Preetum Nakkiran
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation
Jun-Yi Hang, Min-Ling Zhang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Learning to Group Auxiliary Datasets for Molecule
Tinglin Huang, Ziniu Hu, Zhitao Ying
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
Edward Raff, Amol Ashish Khanna, Fred Lu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
Yanbang Wang, Jon Kleinberg
- Published: 21 Sept 2023, Last Modified: 16 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
QuadAttac$K$: A Quadratic Programming Approach to Learning Ordered Top-$K$ Adversarial Attacks
Thomas Paniagua, Ryan Grainger, Tianfu Wu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
Yuyuan Li, Chaochao Chen, Yizhao Zhang, Weiming Liu, Lingjuan Lyu, Xiaolin Zheng, Dan Meng, Jun Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation
Sebastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 oral
- Readers: Everyone
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
Haonan Wang, Xiaomeng Li
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Temporal Continual Learning with Prior Compensation for Human Motion Prediction
Jianwei Tang, Jiangxin Sun, Xiaotong Lin, lifang zhang, Wei-Shi Zheng, Jian-Fang Hu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models
Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou
- Published: 21 Sept 2023, Last Modified: 17 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management
Dhawal Gupta, Yinlam Chow, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Online Nonstochastic Model-Free Reinforcement Learning
Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
Yiheng Lin, James A Preiss, Emile Timothy Anand, Yingying Li, Yisong Yue, Adam Wierman
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, Nitish Joshi, Mehran Kazemi, Najoung Kim, He He
- Published: 21 Sept 2023, Last Modified: 04 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Computing Approximate $\ell_p$ Sensitivities
Swati Padmanabhan, David Woodruff, Qiuyi Zhang
- Published: 21 Sept 2023, Last Modified: 26 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Loss Decoupling for Task-Agnostic Continual Learning
Yan-Shuo Liang, Wu-Jun Li
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
From Comprehensive Study to Low-Rank Compensation: Exploring Post-Training Quantization in LLMs
Zhewei Yao, Xiaoxia Wu, Cheng Li, stephen youn, Yuxiong He
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
Jung Yeon Park, Lawson L.S. Wong, Robin Walters
- Published: 21 Sept 2023, Last Modified: 27 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Quantifying the Cost of Learning in Queueing Systems
Daniel Freund, Thodoris Lykouris, Wentao Weng
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Self-Supervised Visual Acoustic Matching
Arjun Somayazulu, Changan Chen, Kristen Grauman
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets
Lazar Atanackovic, Alexander Tong, BO WANG, Leo J Lee, Yoshua Bengio, Jason Hartford
- Published: 21 Sept 2023, Last Modified: 22 Dec 2023
- NeurIPS 2023 poster
- Readers: Everyone
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs
Yuan Cheng, Jing Yang, Yingbin Liang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Luhuan Wu, Brian L. Trippe, Christian A Naesseth, David Blei, John Patrick Cunningham
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone