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title: "NeurIPS 2023 — all accepted papers, page 35 — Elamur Research"
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# NeurIPS 2023: all accepted papers

3,540 papers · page 35 of 36 · the most cited first · [← NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

[← prev](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/34/) [1](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/) … [30](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/30/) … [34](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/34/) **35** [36](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/36/) [next →](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/36/)

3401. **[SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning ↗](https://doi.org/10.52202/075280-1860)**Sarp Aykent, Tian Xia
3402. **[Saddle-to-Saddle Dynamics in Diagonal Linear Networks ↗](https://doi.org/10.52202/075280-0329)**Scott Pesme, Nicolas Flammarion
3403. **[SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations ↗](https://doi.org/10.52202/075280-3274)**Youngsoo Jang, Byoungjip Kim, Jongmin Lee et al.
3404. **[Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms ↗](https://doi.org/10.52202/075280-1526)**Qian Yu, Yining Wang, Baihe Huang et al.
3405. **[Sample Complexity of Forecast Aggregation ↗](https://doi.org/10.52202/075280-1564)**Tao Lin, Yiling Chen
3406. **[Sample based Explanations via Generalized Representers ↗](https://doi.org/10.52202/075280-1018)**Che-Ping Tsai, Chih‐Kuan Yeh, Pradeep Ravikumar
3407. **[Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds ↗](https://doi.org/10.52202/075280-2155)**Ziqiao Wang, Yongyi Mao
3408. **[Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk ↗](https://doi.org/10.52202/075280-1385)**Oren Mangoubi, Nisheeth K. Vishnoi
3409. **[Scale-Space Hypernetworks for Efficient Biomedical Image Analysis ↗](https://doi.org/10.52202/075280-0561)**Jose Javier Gonzalez Ortiz, John V. Guttag, Adrian Vasile Dalca
3410. **[Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking ↗](https://doi.org/10.52202/075280-0122)**Frederik Künstner, Victor Sanches Portella, Mark Schmidt et al.
3411. **[Selective Sampling and Imitation Learning via Online Regression ↗](https://doi.org/10.52202/075280-2938)**Ayush Sekhari, Karthik Sridharan, Wen Sun et al.
3412. **[Self-supervised Graph Neural Networks via Low-Rank Decomposition ↗](https://doi.org/10.52202/075280-1487)**Liang Yang, Runjie Shi, Qiuliang Zhang et al.
3413. **[Semantic Image Synthesis with Unconditional Generator ↗](https://doi.org/10.52202/075280-1431)**Jungwoo Chae, Hyunin Cho, Sooyeon Go et al.
3414. **[Semi-Implicit Denoising Diffusion Models (SIDDMs) ↗](https://doi.org/10.52202/075280-0762)**Xu Yanwu, Mingming Gong, Shaoan Xie et al.
3415. **[Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms ↗](https://doi.org/10.52202/075280-2473)**Michael J. Feldman, David L. Donoho
3416. **[Should We Learn Most Likely Functions or Parameters? ↗](https://doi.org/10.52202/075280-1555)**Shikai Qiu, Tim G. J. Rudner, Sanyam Kapoor et al.
3417. **[Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions ↗](https://doi.org/10.52202/075280-2833)**Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou
3418. **[Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming ↗](https://doi.org/10.52202/075280-2101)**Gregory Dexter, Petros Drineas B, David P. Woodruff et al.
3419. **[Slot-guided Volumetric Object Radiance Fields ↗](https://doi.org/10.52202/075280-2870)**Di Qi, Tong yi Yang, Xiangyu Zhang
3420. **[Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness ↗](https://doi.org/10.52202/075280-2025)**Evgenii Chzhen, Christophe Giraud, Zhen Li et al.
3421. **[Smooth Flipping Probability for Differential Private Sign Random Projection Methods ↗](https://doi.org/10.52202/075280-0565)**Ping Li, Xiaoyun Li
3422. **[SmoothHess: ReLU Network Feature Interactions via Stein's Lemma ↗](https://doi.org/10.52202/075280-2206)**Max Torop, Aria Masoomi, Davin Hill et al.
3423. **[Smoothed Online Learning for Prediction in Piecewise Affine Systems ↗](https://doi.org/10.52202/075280-1804)**Adam Block, Max Simchowitz, Russ Tedrake
3424. **[Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning ↗](https://doi.org/10.52202/075280-3369)**Stefan Stojanovic, Yassir Jedra, Alexandre Proutière
3425. **[Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds ↗](https://doi.org/10.52202/075280-2052)**Taira Tsuchiya, Shinji Ito, Junya Honda
3426. **[Stable Nonconvex-Nonconcave Training via Linear Interpolation ↗](https://doi.org/10.52202/075280-2169)**Thomas Pethick, Wanyun Xie, Volkan Cevher
3427. **[Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures ↗](https://doi.org/10.52202/075280-2987)**David Loiseaux, Luis Scoccola, Mathieu Carrière et al.
3428. **[Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks ↗](https://doi.org/10.52202/075280-1438)**Hao-kai Zhang, Chenghong Zhu, Mingrui Jing et al.
3429. **[Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference ↗](https://doi.org/10.52202/075280-0702)**Licong Lin, Mufang Ying, Suvrojit Ghosh et al.
3430. **[Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits ↗](https://doi.org/10.52202/075280-3020)**Filippo Vannella, Alexandre Proutière, Jaeseong Jeong
3431. **[Stein Π-Importance Sampling ↗](https://doi.org/10.52202/075280-3148)**Congye Wang, Ye Chen, Heishiro Kanagawa et al.
3432. **[Stochastic Approximation Algorithms for Systems of Interacting Particles ↗](https://doi.org/10.52202/075280-2436)**Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause
3433. **[Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk ↗](https://doi.org/10.52202/075280-1548)**David Simchi‐Levi, Zeyu Zheng, Feng Zhu
3434. **[Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation ↗](https://doi.org/10.52202/075280-1563)**Stefania Ionescu, Yuhao Du, Kenneth Joseph et al.
3435. **[Strategyproof Voting under Correlated Beliefs ↗](https://doi.org/10.52202/075280-1727)**Daniel Halpern, Rachel Li, Ariel Procaccia
3436. **[Streaming PCA for Markovian Data ↗](https://doi.org/10.52202/075280-2821)**Syamantak Kumar, Purnamrita Sarkar
3437. **[Structure Learning with Adaptive Random Neighborhood Informed MCMC ↗](https://doi.org/10.52202/075280-1775)**Xitong Liang, Alberto Caron, Samuel Livingstone et al.
3438. **[Structure of universal formulas ↗](https://doi.org/10.52202/075280-2395)**Dmitry Yarotsky
3439. **[Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees ↗](https://doi.org/10.52202/075280-2992)**Wenqi Cui, Yan Jiang, Baosen Zhang et al.
3440. **[Structured Semidefinite Programming for Recovering Structured Preconditioners ↗](https://doi.org/10.52202/075280-0743)**Arun Jambulapati, Jerry Li, Christopher Musco et al.
3441. **[Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression ↗](https://doi.org/10.52202/075280-2790)**Jiaze Qiu
3442. **[Survival Permanental Processes for Survival Analysis with Time-Varying Covariates ↗](https://doi.org/10.52202/075280-3182)**Hideaki Kim
3443. **[SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network ↗](https://doi.org/10.52202/075280-0935)**Yuting Hu, Jiajie Li, Florian Klemme et al.
3444. **[Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions ↗](https://doi.org/10.52202/075280-0842)**Abhineet Agarwal, Anish Agarwal, Suhas Vijaykumar
3445. **[Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds ↗](https://doi.org/10.52202/075280-2469)**Jiayi Huang, Han Zhong, Liwei Wang et al.
3446. **[Task-Robust Pre-Training for Worst-Case Downstream Adaptation ↗](https://doi.org/10.52202/075280-0414)**Jianghui Wang, Yang Chen, Xingyu Xie et al.
3447. **[Task-aware world model learning with meta weighting via bi-level optimization ↗](https://doi.org/10.52202/075280-2358)**Huining Yuan, Hongkun Dou, Xingyu Jiang et al.
3448. **[Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning ↗](https://doi.org/10.52202/075280-1967)**Stephen McAleer, Gabriele Farina, Gaoyue Zhou et al.
3449. **[Tempo Adaptation in Non-stationary Reinforcement Learning ↗](https://doi.org/10.52202/075280-0362)**Hyunin Lee, Yuhao Ding, Jongmin Lee et al.
3450. **[Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions ↗](https://doi.org/10.52202/075280-2564)**Çağlar Hızlı, St John, Anne Juuti et al.
3451. **[Temporally Disentangled Representation Learning under Unknown Nonstationarity ↗](https://doi.org/10.52202/075280-0355)**Xiangchen Song, Weiran Yao, Yewen Fan et al.
3452. **[Tester-Learners for Halfspaces: Universal Algorithms ↗](https://doi.org/10.52202/075280-0443)**Aravind Gollakota, Adam R. Klivans, Konstantinos Stavropoulos et al.
3453. **[Text Alignment Is An Efficient Unified Model for Massive NLP Tasks ↗](https://doi.org/10.52202/075280-3405)**Yuheng Zha, Yichi Yang, Ruichen Li et al.
3454. **[The Bayesian Stability Zoo ↗](https://doi.org/10.52202/075280-2697)**Shay Moran, Hilla Schefler, Jonathan Shafer
3455. **[The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning ↗](https://doi.org/10.52202/075280-0107)**Kaiwen Wang, Kevin Zhou, Runzhe Wu et al.
3456. **[The Contextual Lasso: Sparse Linear Models via Deep Neural Networks ↗](https://doi.org/10.52202/075280-0875)**Ryan Thompson, Amir Dezfouli, Robert Kohn
3457. **[The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model ↗](https://doi.org/10.52202/075280-3499)**Laixi Shi, Gen Li, Yuting Wei et al.
3458. **[The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games ↗](https://doi.org/10.52202/075280-3434)**Victor Boone, Panayotis Mertikopoulos
3459. **[The Gain from Ordering in Online Learning ↗](https://doi.org/10.52202/075280-2791)**Vasilis Kontonis, Mingchen Ma, Christos Tzamos
3460. **[The Geometry of Neural Nets' Parameter Spaces Under Reparametrization ↗](https://doi.org/10.52202/075280-0775)**Agustinus Kristiadi, Felix Dangel, Philipp Hennig
3461. **[The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models ↗](https://doi.org/10.52202/075280-3484)**Lee Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz
3462. **[The ToMCAT Dataset ↗](https://doi.org/10.52202/075280-1781)**Adarsh Pyarelal, Eric Duong, Caleb Shibu et al.
3463. **[Thinker: Learning to Plan and Act ↗](https://doi.org/10.52202/075280-0993)**Stephen Chung, Ivan Anokhin, David Krueger
3464. **[Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points ↗](https://doi.org/10.52202/075280-0419)**Valentino Delle Rose, Alexander Kozachinskiy, Cristóbal Rojas et al.
3465. **[Thrust: Adaptively Propels Large Language Models with External Knowledge ↗](https://doi.org/10.52202/075280-3065)**Xinran Zhao, Hongming Zhang, Xiaoman Pan et al.
3466. **[Time-Independent Information-Theoretic Generalization Bounds for SGLD ↗](https://doi.org/10.52202/075280-0358)**Futoshi Futami, Masahiro Fujisawa
3467. **[Time-uniform confidence bands for the CDF under nonstationarity ↗](https://doi.org/10.52202/075280-0278)**Paul Mineiro, Steven R. Howard
3468. **[To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning ↗](https://doi.org/10.52202/075280-0701)**Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry Vetrov et al.
3469. **[Topological Obstructions and How to Avoid Them ↗](https://doi.org/10.52202/075280-0388)**Babak Esmaeili, Robin Walters, Heiko Zimmermann et al.
3470. **[Topological Parallax: A Geometric Specification for Deep Perception Models ↗](https://doi.org/10.52202/075280-1223)**Abraham Smith, Michael J. Catanzaro, Gabrielle Angeloro et al.
3471. **[Topological RANSAC for instance verification and retrieval without fine-tuning ↗](https://doi.org/10.52202/075280-2788)**Guoyuan An, Ju-Hyeong Seon, Inkyu An et al.
3472. **[Towards Accelerated Model Training via Bayesian Data Selection ↗](https://doi.org/10.52202/075280-0372)**Zhijie Deng, Peng Cui, Jun Zhu
3473. **[Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity ↗](https://doi.org/10.52202/075280-2448)**Metod Jazbec, James Urquhart Allingham, Dan Zhang et al.
3474. **[Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games ↗](https://doi.org/10.52202/075280-0586)**Hédi Hadiji, Sarah Sachs, Tim van Erven et al.
3475. **[Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? ↗](https://doi.org/10.52202/075280-3506)**Hoang Pham, The Anh Ta, Shiwei Liu et al.
3476. **[Towards Higher Ranks via Adversarial Weight Pruning ↗](https://doi.org/10.52202/075280-0057)**Yuchuan Tian, Hanting Chen, Tianyu Guo et al.
3477. **[Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network ↗](https://doi.org/10.52202/075280-2146)**Fuyuan Lyu, Xing Tang, Dugang Liu et al.
3478. **[Towards Optimal Effective Resistance Estimation ↗](https://doi.org/10.52202/075280-2575)**Rajat Vadiraj Dwaraknath, Ishani Karmarkar, Aaron Sidford
3479. **[Towards Robust and Expressive Whole-body Human Pose and Shape Estimation ↗](https://doi.org/10.52202/075280-0758)**Hui En Pang, Zhongang Cai, Lei Yang et al.
3480. **[Towards Test-Time Refusals via Concept Negation ↗](https://doi.org/10.52202/075280-1157)**Peiran Dong, Song Guo, Junxiao Wang et al.
3481. **[Towards a fuller understanding of neurons with Clustered Compositional Explanations ↗](https://doi.org/10.52202/075280-3082)**Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco
3482. **[Towards robust and generalizable representations of extracellular data using contrastive learning ↗](https://doi.org/10.52202/075280-1832)**Ankit Vishnubhotla, Charlotte Loh, Akash Srivastava et al.
3483. **[Tracking Most Significant Shifts in Nonparametric Contextual Bandits ↗](https://doi.org/10.52202/075280-0272)**Joe Suk, Samory Kpotufe
3484. **[Trading-off price for data quality to achieve fair online allocation ↗](https://doi.org/10.52202/075280-1744)**Mathieu Molina, Nicolas Gast, Patrick Loiseau et al.
3485. **[Train 'n Trade: Foundations of Parameter Markets ↗](https://doi.org/10.52202/075280-1237)**Tzu-Heng Huang, Harit Vishwakarma, Frédéric Sala
3486. **[Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models ↗](https://doi.org/10.52202/075280-1118)**Yubin Shi, Yixuan Chen, Mingzhi Dong et al.
3487. **[Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks ↗](https://doi.org/10.52202/075280-1533)**Jun Yin, Chaozhuo Li, Hao Yan et al.
3488. **[Training Private Models That Know What They Don’t Know ↗](https://doi.org/10.52202/075280-2337)**Stephan Rabanser, Anvith Thudi, Abhradeep Thakurta et al.
3489. **[Training Transitive and Commutative Multimodal Transformers with LoReTTa ↗](https://doi.org/10.52202/075280-1859)**Manuel Tran, Yashin Dicente Cid, Amal Lahiani et al.
3490. **[Training Your Image Restoration Network Better with Random Weight Network as Optimization Function ↗](https://doi.org/10.52202/075280-0061)**Man Zhou, Naishan Zheng, Yuan Xu et al.
3491. **[Training on Foveated Images Improves Robustness to Adversarial Attacks ↗](https://doi.org/10.52202/075280-3110)**Muhammad Shah, Aqsa Kashaf, Bhiksha Raj
3492. **[Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? ↗](https://doi.org/10.52202/075280-1527)**Erin George, Michael Murray, William Swartworth et al.
3493. **[Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory ↗](https://doi.org/10.52202/075280-3137)**Minhak Song, Chulhee Yun
3494. **[Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars ↗](https://doi.org/10.52202/075280-1681)**Kaiyue Wen, Yuchen Li, Bingbin Liu et al.
3495. **[Transportability for Bandits with Data from Different Environments ↗](https://doi.org/10.52202/075280-1920)**Alexis Bellot, Alan Malek, Silvia Chiappa
3496. **[Tree Variational Autoencoders ↗](https://doi.org/10.52202/075280-2398)**Laura Manduchi, Moritz Vandenhirtz, Alain Ryser et al.
3497. **[TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion ↗](https://doi.org/10.52202/075280-3226)**Preetha Vijayan, Prashant Bhat, Bahram Zonooz et al.
3498. **[Trial matching: capturing variability with data-constrained spiking neural networks ↗](https://doi.org/10.52202/075280-3269)**Christos Sourmpis, Carl Petersen, Wulfram Gerstner et al.
3499. **[Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach ↗](https://doi.org/10.52202/075280-0532)**Riccardo Poiani, Nicole Nobili, Alberto Maria Metelli et al.
3500. **[Trust Your : Gradient-based Intervention Targeting for Causal Discovery ↗](https://doi.org/10.52202/075280-2202)**Mateusz Olko, Michal Zajac, Aleksandra Nowak et al.

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