NeurIPS 2023 Conference Submissions

GmGM: a fast Gaussian graphical model for multi-modal data
Bailey Andrew, David R Westhead, Luisa Cutillo
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement
Shizhe Ding, Boyang Xia, Dongbo Bu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Hybrid Policy Optimization from Imperfect Demonstrations
Hanlin Yang, Chao Yu, peng sun, Siji Chen
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Optimal Preconditioning and Fisher Adaptive Langevin Sampling
Michalis Titsias
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control
Nathan Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc G Bellemare
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Julius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekić, Elias Bareinboim, David Blei, Bernhard Schölkopf
- Published: 21 Sept 2023, Last Modified: 15 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
- Published: 26 Sept 2023, Last Modified: 14 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology
Ka Chun Lam, Bridget Wilson Mahony, Armin Raznahan, Francisco Pereira
- 11 May 2023 (modified: 12 Dec 2023)
- Submitted to NeurIPS 2023
- Readers: Everyone
ZipLM: Inference-Aware Structured Pruning of Language Models
Eldar Kurtic, Elias Frantar, Dan Alistarh
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
Tobit Klug, Dogukan Atik, Reinhard Heckel
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting
Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, Huaiyu Wan
- Published: 21 Sept 2023, Last Modified: 27 Dec 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
Jinbiao Chen, Jiahai Wang, Zizhen Zhang, Zhiguang Cao, Te Ye, Siyuan Chen
- Published: 21 Sept 2023, Last Modified: 12 Jan 2024
- NeurIPS 2023 poster
- Readers: Everyone
AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis
Jiarong Ding, Xuehu Zhu
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency
Owen Queen, Thomas Hartvigsen, Teddy Koker, Huan He, Theodoros Tsiligkaridis, Marinka Zitnik
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 spotlight
- Readers: Everyone
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards
Silviu Pitis
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Human-Aligned Calibration for AI-Assisted Decision Making
Nina L. Corvelo Benz, Manuel Gomez Rodriguez
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Kang Xu, Chenjia Bai, Xiaoteng Ma, Dong Wang, Bin Zhao, Zhen Wang, Xuelong Li, Wei Li
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
Jian-Feng CAI, José Vinícius De Miranda Cardoso, Daniel P. Palomar, Jiaxi Ying
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Stable Nonconvex-Nonconcave Training via Linear Interpolation
Thomas Pethick, Wanyun Xie, Volkan Cevher
- Published: 21 Sept 2023, Last Modified: 12 Jan 2024
- NeurIPS 2023 spotlight
- Readers: Everyone
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, JUN ZHOU
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval
Yu Liang, Shiliang Zhang, Kenli Li, Xiaoyu Wang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Near-optimal learning with average Hölder smoothness
Guy Kornowski, Steve Hanneke, Aryeh Kontorovich
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Advancing Bayesian Optimization via Learning Correlated Latent Space
Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction
Ruoyu Li, Qing Li, Yu Zhang, Dan Zhao, Yong Jiang, Yong Yang
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
Duy Minh Ho Nguyen, Hoang Nguyen, Nghiem Tuong Diep, Tan Ngoc Pham, Tri Cao, Binh T. Nguyen, Paul Swoboda, Nhat Ho, Shadi Albarqouni, Pengtao Xie, Daniel Sonntag, Mathias Niepert
- Published: 21 Sept 2023, Last Modified: 02 Nov 2023
- NeurIPS 2023 poster
- Readers: Everyone