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title: "NeurIPS 2023 — all accepted papers, page 33 — Elamur Research"
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# NeurIPS 2023: all accepted papers

3,540 papers · page 33 of 36 · the most cited first · [← NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

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3201. **[List and Certificate Complexities in Replicable Learning ↗](https://doi.org/10.52202/075280-1342)**Peter Dixon, A. Pavan, Jason Vander Woude et al.
3202. **[LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering ↗](https://doi.org/10.52202/075280-1333)**Jingying Gao, Qi Wu, Alan Blair et al.
3203. **[Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search ↗](https://doi.org/10.52202/075280-2459)**Indradyumna Roy, Rishi Agarwal, Soumen Chakrabarti et al.
3204. **[LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees ↗](https://doi.org/10.52202/075280-3511)**Shangyuan Liu, Linglingzhi Zhu, Anthony Man–Cho So
3205. **[Lovász Principle for Unsupervised Graph Representation Learning ↗](https://doi.org/10.52202/075280-2540)**Ziheng Sun, Chris Ding, Jicong Fan
3206. **[Lower Bounds on Adaptive Sensing for Matrix Recovery ↗](https://doi.org/10.52202/075280-3132)**Praneeth Kacham, David P. Woodruff
3207. **[MGDD: A Meta Generator for Fast Dataset Distillation ↗](https://doi.org/10.52202/075280-2462)**Songhua Liu, X. Sean Wang
3208. **[MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates ↗](https://doi.org/10.52202/075280-0783)**Mohammad Mozaffari, Sikan Li, Zhao Zhang et al.
3209. **[Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off ↗](https://doi.org/10.52202/075280-2730)**Zichen (Vincent) Zhang, Johannes Kirschner, Junxi Zhang et al.
3210. **[Many-body Approximation for Non-negative Tensors ↗](https://doi.org/10.52202/075280-3241)**Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara
3211. **[MathNAS: If Blocks Have a Role in Mathematical Architecture Design ↗](https://doi.org/10.52202/075280-2055)**Qinsi Wang, Jinghan Ke, Zhi Liang et al.
3212. **[Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration ↗](https://doi.org/10.52202/075280-0973)**Zhihan Liu, Miao Lu, Wei Xiong et al.
3213. **[Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits ↗](https://doi.org/10.52202/075280-2567)**Masoud Moravej Khorasani, Erik Weyer
3214. **[MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery ↗](https://doi.org/10.52202/075280-3400)**Sanja Šćepanović, Ivica Obadić, Sagar Prakash Joglekar et al.
3215. **[Meek Separators and Their Applications in Targeted Causal Discovery ↗](https://doi.org/10.52202/075280-2116)**Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
3216. **[Memory-Constrained Algorithms for Convex Optimization ↗](https://doi.org/10.52202/075280-0270)**Moïse Blanchard, Junhui Zhang, Patrick Jaillet
3217. **[Meta-Learning with Neural Bandit Scheduler ↗](https://doi.org/10.52202/075280-2796)**Yunzhe Qi, Yikun Ban, Tianxin Wei et al.
3218. **[Metis: Understanding and Enhancing In-Network Regular Expressions ↗](https://doi.org/10.52202/075280-3402)**Zhengxin Zhang, Yucheng Huang, Guanglin Duan et al.
3219. **[Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees ↗](https://doi.org/10.52202/075280-2867)**Veronica Alvarez, Santiago Mazuelas, Jose A. Lozano
3220. **[Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models ↗](https://doi.org/10.52202/075280-1310)**Dat Do, Huy Nguyen, Huy Nguyen et al.
3221. **[Minimax-Optimal Location Estimation ↗](https://doi.org/10.52202/075280-0042)**Shivam Gupta, Jasper Lee, Eric Price et al.
3222. **[Mitigating Source Bias for Fairer Weak Supervision ↗](https://doi.org/10.52202/075280-1459)**Changho Shin, Sonia Cromp, Dyah Adila et al.
3223. **[Mitigating the Effect of Incidental Correlations on Part-based Learning ↗](https://doi.org/10.52202/075280-2784)**Gaurav Bhatt, Deepayan Das, Leonid Sigal et al.
3224. **[Mnemosyne: Learning to Train Transformers with Transformers ↗](https://doi.org/10.52202/075280-3382)**Deepali Jain, Krzysztof Choromański, Kumar Avinava Dubey et al.
3225. **[Model Shapley: Equitable Model Valuation with Black-box Access ↗](https://doi.org/10.52202/075280-1874)**Xinyi Xu, Thanh Lam, Chuan-Sheng Foo et al.
3226. **[Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning ↗](https://doi.org/10.52202/075280-3534)**Van Cuong Pham, Cường Nguyễn, Trung Hiếu Lê et al.
3227. **[Model-Based Control with Sparse Neural Dynamics ↗](https://doi.org/10.52202/075280-0275)**Ziang Liu, Genggeng Zhou, Jeff He et al.
3228. **[Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms ↗](https://doi.org/10.52202/075280-2990)**Shenao Zhang, Boyi Liu, Zhaoran Wang et al.
3229. **[Model-free Posterior Sampling via Learning Rate Randomization ↗](https://doi.org/10.52202/075280-3225)**Daniil Tiapkin, Denis Vital'evich Belomestny, Daniele Calandriello et al.
3230. **[Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing ↗](https://doi.org/10.52202/075280-0672)**Jung Yeon Park, Lawson L. S. Wong, Robin Walters
3231. **[Moment Matching Denoising Gibbs Sampling ↗](https://doi.org/10.52202/075280-1024)**Mingtian Zhang, Alex Hawkins‐Hooker, Brooks Paige et al.
3232. **[Most Neural Networks Are Almost Learnable ↗](https://doi.org/10.52202/075280-1096)**Amit Daniely, Nathan Srebro, Gal Vardi
3233. **[Multi Time Scale World Models ↗](https://doi.org/10.52202/075280-1163)**Vaisakh Shaj Kumar, Saleh Gholam Zadeh, Ozan Demir et al.
3234. **[Multi-Agent First Order Constrained Optimization in Policy Space ↗](https://doi.org/10.52202/075280-1703)**Youpeng Zhao, Yaodong Yang, Zhenbo Lu et al.
3235. **[Multi-Agent Learning with Heterogeneous Linear Contextual Bandits ↗](https://doi.org/10.52202/075280-3445)**Anh Do, Thanh Nguyen-Tang, Raman Arora
3236. **[Multi-Fidelity Multi-Armed Bandits Revisited ↗](https://doi.org/10.52202/075280-1371)**Xuchuang Wang, Qingyun Wu, Wei Chen et al.
3237. **[Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization ↗](https://doi.org/10.52202/075280-2623)**Alex Foo, Wynne Hsu, Mong Li Lee
3238. **[Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation ↗](https://doi.org/10.52202/075280-3324)**Jia-Xing Zhong, Ta-Ying Cheng, Yuhang He et al.
3239. **[Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion ↗](https://doi.org/10.52202/075280-0917)**Hyuna Cho, Minjae Jeong, Sooyeon Jeon et al.
3240. **[Multi-task Representation Learning for Pure Exploration in Bilinear Bandits ↗](https://doi.org/10.52202/075280-2073)**Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna et al.
3241. **[Multi-task learning with summary statistics ↗](https://doi.org/10.52202/075280-2350)**P. Knight, Rui Duan
3242. **[MultiVENT: Multilingual Videos of Events and Aligned Natural Text ↗](https://doi.org/10.52202/075280-2222)**Kate Sanders, David Etter, Reno Kriz et al.
3243. **[Multiclass Boosting: Simple and Intuitive Weak Learning Criteria ↗](https://doi.org/10.52202/075280-0070)**Nataly Brukhim, Amit Daniely, Yishay Mansour et al.
3244. **[Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice ↗](https://doi.org/10.52202/075280-0675)**Aiwen Xu, Yuchen Hou, Cristopher M. Niell et al.
3245. **[Mutual-Information Regularized Multi-Agent Policy Iteration ↗](https://doi.org/10.52202/075280-0118)**Wang Wang, Deheng Ye, Zongqing Lu
3246. **[NAS-X: Neural Adaptive Smoothing via Twisting ↗](https://doi.org/10.52202/075280-0376)**Dieterich Lawson, Michael Li, Scott W. Linderman
3247. **[NCDL: A Framework for Deep Learning on non-Cartesian Lattices ↗](https://doi.org/10.52202/075280-3473)**Joshua Horacsek, Usman Alim
3248. **[Nash Regret Guarantees for Linear Bandits ↗](https://doi.org/10.52202/075280-1446)**Ayush Sawarni, Soumyabrata Pal, Siddharth Barman
3249. **[Natural Language Instruction-following with Task-related Language Development and Translation ↗](https://doi.org/10.52202/075280-0407)**Jing-Cheng Pang, Xin-Yu Yang, Sihang Yang et al.
3250. **[Near Optimal Reconstruction of Spherical Harmonic Expansions ↗](https://doi.org/10.52202/075280-1041)**Amir Zandieh, Insu Han, Haim Avron
3251. **[Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise ↗](https://doi.org/10.52202/075280-0953)**Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane et al.
3252. **[Nearest Neighbour with Bandit Feedback ↗](https://doi.org/10.52202/075280-0892)**Stephen Pasteris, Chris Hicks, Vasilios Mavroudis
3253. **[Nearly Optimal Bounds for Cyclic Forgetting ↗](https://doi.org/10.52202/075280-2982)**William Swartworth, Deanna Needell, Rachel Ward et al.
3254. **[Nearly Tight Bounds For Differentially Private Multiway Cut ↗](https://doi.org/10.52202/075280-1084)**Mina Dalirrooyfard, Slobodan Mitrović, Yuriy Nevmyvaka
3255. **[Neural Graph Generation from Graph Statistics ↗](https://doi.org/10.52202/075280-1576)**Kiarash Zahirnia, Yaochen Hu, Mark Coates et al.
3256. **[Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning ↗](https://doi.org/10.52202/075280-2651)**Marina Munkhoeva, Ivan Oseledets
3257. **[Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem ↗](https://doi.org/10.52202/075280-1845)**Tal Amir, Steven Gortler, Ilai Avni et al.
3258. **[Neural Processes with Stability ↗](https://doi.org/10.52202/075280-3444)**Huafeng Liu, Liping Jing, Jian Yu
3259. **[Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis ↗](https://doi.org/10.52202/075280-0813)**Shreyas Malakarjun Patil, Loizos Michael, Constantine Dovrolis
3260. **[Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions ↗](https://doi.org/10.52202/075280-0416)**Samantha Chen, Yusu Wang
3261. **[New Bounds for Hyperparameter Tuning of Regression Problems Across Instances ↗](https://doi.org/10.52202/075280-3507)**Maria-Florina Balcan, Anh Vu Nguyen, Dravyansh Sharma
3262. **[New Complexity-Theoretic Frontiers of Tractability for Neural Network Training ↗](https://doi.org/10.52202/075280-2463)**Cornelius Brand, Robert Ganian, Mathis Rocton
3263. **[Noether Embedding: Efficient Learning of Temporal Regularities ↗](https://doi.org/10.52202/075280-2091)**Chi Gao, Zidong Zhou, Luping Shi
3264. **[Non-Convex Bilevel Optimization with Time-Varying Objective Functions ↗](https://doi.org/10.52202/075280-1293)**Sen Lin, Daouda Sow, Kaiyi Ji et al.
3265. **[Nonparametric Teaching for Multiple Learners ↗](https://doi.org/10.52202/075280-0341)**Chen Zhang, Xiaofeng Cao, Weiyang Liu et al.
3266. **[NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding ↗](https://doi.org/10.52202/075280-0798)**Ming Hu, Lin Wang, Siyuan Yan et al.
3267. **[OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment ↗](https://doi.org/10.52202/075280-1510)**Yiheng Zhu, Yang Zhan, Xuankun Huang et al.
3268. **[Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations ↗](https://doi.org/10.52202/075280-3250)**Xingyu Chen, Weiyao Wang, Hao Tang et al.
3269. **[Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage ↗](https://doi.org/10.52202/075280-0563)**Masatoshi Uehara, Nathan Kallus, Jason D. Lee et al.
3270. **[Offline RL with Discrete Proxy Representations for Generalizability in POMDPs ↗](https://doi.org/10.52202/075280-2854)**Pengjie Gu, Xinyu Cai, Dong Xing et al.
3271. **[On Certified Generalization in Structured Prediction ↗](https://doi.org/10.52202/075280-1329)**Bastian Boll, Christoph Schnörr
3272. **[On Computing Pairwise Statistics with Local Differential Privacy ↗](https://doi.org/10.52202/075280-1181)**Badih Ghazi, Pritish Kamath, Ravi Ranjan Kumar et al.
3273. **[On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy ↗](https://doi.org/10.52202/075280-3299)**Caleb Dahlke, Jason Pacheco
3274. **[On Differentially Private Sampling from Gaussian and Product Distributions ↗](https://doi.org/10.52202/075280-3399)**Badih Ghazi, Xiao Hu, Ravi Ranjan Kumar et al.
3275. **[On Generalization Bounds for Projective Clustering ↗](https://doi.org/10.52202/075280-3140)**Maria Sofia Bucarelli, Matilde Larsen, Chris Schwiegelshohn et al.
3276. **[On Private and Robust Bandits ↗](https://doi.org/10.52202/075280-1511)**Yulian Wu, Xingyu Zhou, Youming Tao et al.
3277. **[On Proper Learnability between Average- and Worst-case Robustness ↗](https://doi.org/10.52202/075280-0574)**Vinod Raman, Unique Subedi, Ambuj Tewari
3278. **[On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond ↗](https://doi.org/10.52202/075280-2672)**Thanh Nguyen-Tang, Raman Arora
3279. **[On Single-Index Models beyond Gaussian Data ↗](https://doi.org/10.52202/075280-0447)**Aaron Zweig, Loucas Pillaud‐Vivien, Joan Bruna
3280. **[On Slicing Optimality for Mutual Information ↗](https://doi.org/10.52202/075280-1606)**Ammar Fayad, Majd Ibrahim
3281. **[On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks ↗](https://doi.org/10.52202/075280-2584)**Laura Fee Nern, Harsh Raj, Maurice André Georgi et al.
3282. **[On kernel-based statistical learning theory in the mean field limit ↗](https://doi.org/10.52202/075280-0898)**Christian Fiedler, Michael Herty, Sebastian Trimpe
3283. **[On permutation symmetries in Bayesian neural network posteriors: a variational perspective ↗](https://doi.org/10.52202/075280-3021)**Simone Rossi, Ankit Singh, Thomas Hannagan
3284. **[On the Adversarial Robustness of Out-of-distribution Generalization Models ↗](https://doi.org/10.52202/075280-3016)**Xin Guo Zou, Weiwei Liu
3285. **[On the Exploration of Local Significant Differences For Two-Sample Test ↗](https://doi.org/10.52202/075280-0233)**Zhijian Zhou, Jie Ni, Jia-He Yao et al.
3286. **[On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis ↗](https://doi.org/10.52202/075280-3034)**Ta Duy Nguyen, Alina Ene, Huy Nguyen
3287. **[On the Identifiability of Sparse ICA without Assuming Non-Gaussianity ↗](https://doi.org/10.52202/075280-2080)**Ignavier Ng, Yujia Zheng, Xinshuai Dong et al.
3288. **[On the Implicit Bias of Linear Equivariant Steerable Networks ↗](https://doi.org/10.52202/075280-0269)**Ziyu Chen, Wei Zhu
3289. **[On the Interplay between Social Welfare and Tractability of Equilibria ↗](https://doi.org/10.52202/075280-2173)**Ioannis Anagnostides, Tüomas Sandholm
3290. **[On the Learnability of Multilabel Ranking ↗](https://doi.org/10.52202/075280-0524)**Vinod Raman, Unique Subedi, Ambuj Tewari
3291. **[On the Minimax Regret for Online Learning with Feedback Graphs ↗](https://doi.org/10.52202/075280-2000)**Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari et al.
3292. **[On the Power of SVD in the Stochastic Block Model ↗](https://doi.org/10.52202/075280-1421)**Xinyu Mao, Jiapeng Zhang
3293. **[On the Robustness of Mechanism Design under Total Variation Distance ↗](https://doi.org/10.52202/075280-0080)**Anuran Makur, Marios Mertzanidis, Alexandros Psomas et al.
3294. **[On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences ↗](https://doi.org/10.52202/075280-3517)**Alireza F. Pour, Hassan Ashtiani
3295. **[On the Size and Approximation Error of Distilled Datasets ↗](https://doi.org/10.52202/075280-2670)**Alaa Maalouf, Murad Tukan, Noel Loo et al.
3296. **[On the Sublinear Regret of GP-UCB ↗](https://doi.org/10.52202/075280-1532)**Justin Whitehouse, Aaditya Ramdas, Steven Wu
3297. **[On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training ↗](https://doi.org/10.52202/075280-2805)**Jieyu Zhang, Bohan Wang, Zhengyu Hu et al.
3298. **[On the Variance, Admissibility, and Stability of Empirical Risk Minimization ↗](https://doi.org/10.52202/075280-1632)**Gil Kur, Eli Putterman, Alexander Rakhlin
3299. **[On the spectral bias of two-layer linear networks ↗](https://doi.org/10.52202/075280-2811)**Aditya Varre, Maria-Luiza Vladarean, Loucas Pillaud‐Vivien et al.
3300. **[One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning ↗](https://doi.org/10.52202/075280-2712)**Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang et al.

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