NeurIPS 2024 Conference Submissions

Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
Anton Rodomanov, Xiaowen Jiang, Sebastian U Stich
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Proportional Fairness in Non-Centroid Clustering
Ioannis Caragiannis, Evi Micha, Nisarg Shah
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling
Qiannan Zhang, Weishen Pan, Zilong Bai, Chang Su, Fei Wang
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Incentivizing Quality Text Generation via Statistical Contracts
Eden Saig, Ohad Einav, Inbal Talgam-Cohen
- Published: 25 Sept 2024, Last Modified: 15 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Dynamic Rescaling for Training GNNs
Nimrah Mustafa, Rebekka Burkholz
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
The Fairness-Quality Tradeoff in Clustering
Rashida Hakim, Ana-Andreea Stoica, Christos Papadimitriou, Mihalis Yannakakis
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
AlignedCut: Visual Concepts Discovery on Brain-Guided Universal Feature Space
Huzheng Yang, James Gee, Jianbo Shi
- 15 May 2024 (modified: 06 Nov 2024)
- Submitted to NeurIPS 2024
- Readers: Everyone
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
Reuben Adams, John Shawe-Taylor, Benjamin Guedj
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Mutual Information Estimation via Normalizing Flows
Ivan Butakov, Alexander Tolmachev, Sofia Malanchuk, Anna Neopryatnaya, Alexey Frolov
- Published: 25 Sept 2024, Last Modified: 15 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone
Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
Brian Zhang, ZHUO ZHANG
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
Yiheng Li, Heyang Jiang, Akio Kodaira, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Geometry of naturalistic object representations in recurrent neural network models of working memory
Xiaoxuan Lei, Takuya Ito, Pouya Bashivan
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Interpreting the Weight Space of Customized Diffusion Models
Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A Efros, Kfir Aberman
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
On the Limitations of Fractal Dimension as a Measure of Generalization
Charlie Tan, Inés García-Redondo, Qiquan Wang, Michael M. Bronstein, Anthea Monod
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
ProxyFusion: Face Feature Aggregation Through Sparse Experts
Bhavin Jawade, Alexander Stone, Deen Dayal Mohan, Xiao Wang, Srirangaraj Setlur, Venu Govindaraju
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Quasi-Bayes meets Vines
David Huk, Yuanhe Zhang, Ritabrata Dutta, Mark Steel
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning
Takuo Matsubara
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
Jialin Li, Marta Zagorowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros
- Published: 25 Sept 2024, Last Modified: 18 Dec 2024
- NeurIPS 2024 poster
- Readers: Everyone
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond
Yingcong Li, Ankit Singh Rawat, Samet Oymak
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Multistep Distillation of Diffusion Models via Moment Matching
Tim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Group and Shuffle: Efficient Structured Orthogonal Parametrization
Mikhail Gorbunov, Kolya Yudin, Vera Soboleva, Aibek Alanov, Alexey Naumov, Maxim Rakhuba
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models
Tariq Berrada, Pietro Astolfi, Melissa Hall, Reyhane Askari Hemmat, Yohann Benchetrit, Marton Havasi, Matthew J. Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 poster
- Readers: Everyone
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
Kevin Yu, Jihye Roh, Ziang Li, Wenhao Gao, Runzhong Wang, Connor W. Coley
- Published: 25 Sept 2024, Last Modified: 06 Nov 2024
- NeurIPS 2024 spotlight
- Readers: Everyone
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev, Gal Vardi, Nathan Srebro
- Published: 25 Sept 2024, Last Modified: 15 Jan 2025
- NeurIPS 2024 poster
- Readers: Everyone