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title: "NeurIPS 2023 — all accepted papers, page 30 — Elamur Research"
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# NeurIPS 2023: all accepted papers

3,540 papers · page 30 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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2901. **[BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization ↗](https://doi.org/10.52202/075280-2181)**Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt et al.
2902. **[Bias in Evaluation Processes: An Optimization-Based Model ↗](https://doi.org/10.52202/075280-3161)**L. Elisa Celis, Amit Kumar, Anay Mehrotra et al.
2903. **[Bicriteria Approximation Algorithms for the Submodular Cover Problem ↗](https://doi.org/10.52202/075280-3178)**Wenjing Chen, Victoria G. Crawford
2904. **[Bicriteria Multidimensional Mechanism Design with Side Information ↗](https://doi.org/10.52202/075280-1779)**Siddharth Prasad, Maria-Florina Balcan, Tüomas Sandholm
2905. **[Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training ↗](https://doi.org/10.52202/075280-1717)**Hanyang Peng, Shuang Qin, Yue Yu et al.
2906. **[Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization ↗](https://doi.org/10.52202/075280-0764)**Jui-Nan Yen, Sai Surya Duvvuri, Inderjit S. Dhillon et al.
2907. **[Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints ↗](https://doi.org/10.52202/075280-1100)**Soumyabrata Pal, Arun Suggala, Karthikeyan Shanmugam et al.
2908. **[Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning ↗](https://doi.org/10.52202/075280-3172)**Fangchen Yu, Runze Zhao, Zhan Shi et al.
2909. **[Boosting with Tempered Exponential Measures ↗](https://doi.org/10.52202/075280-1813)**Richard Nock, Ehsan Amid, Manfred K. Warmuth
2910. **[Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment ↗](https://doi.org/10.52202/075280-2491)**Tahereh Toosi, Elias B. Issa
2911. **[Bridging RL Theory and Practice with the Effective Horizon ↗](https://doi.org/10.52202/075280-2573)**Cassidy Laidlaw, Stuart Russell, Anca Dragan
2912. **[Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes ↗](https://doi.org/10.52202/075280-3391)**Yizi Zhang, Tianxi He, Julien Boussard et al.
2913. **[Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits ↗](https://doi.org/10.52202/075280-2269)**Haolin Liu, Chen-Yu Wei, Julian Zimmert
2914. **[Byzantine-Tolerant Methods for Distributed Variational Inequalities ↗](https://doi.org/10.52202/075280-1235)**Nazarii Tupitsa, Abdulla Jasem Almansoori, Yanlin Wu et al.
2915. **[CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation ↗](https://doi.org/10.52202/075280-2026)**Pengyun Zhu, Long Wen, Jinfei Liu et al.
2916. **[CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation ↗](https://doi.org/10.52202/075280-0176)**Xiao Luo, Haixin Wang, Zijie Huang et al.
2917. **[CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence ↗](https://doi.org/10.52202/075280-2117)**Bong Gyun Kang, Hyungi Kim, Dahuin Jung et al.
2918. **[CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation ↗](https://doi.org/10.52202/075280-2552)**Yexiong Lin, Yu Yao, Xiaolong Shi et al.
2919. **[Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs ↗](https://doi.org/10.52202/075280-2912)**Dingmin Wang, Yeyuan Chen
2920. **[Calibrating “Cheap Signals” in Peer Review without a Prior ↗](https://doi.org/10.52202/075280-0906)**Yuxuan Lu, Yuqing Kong
2921. **[Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization ↗](https://doi.org/10.52202/075280-2746)**Swarnadeep Saha, Peter Hase, Mohit Bansal
2922. **[Can semi-supervised learning use all the data effectively? A lower bound perspective ↗](https://doi.org/10.52202/075280-0963)**Alexandru Ţifrea, Gizem Yüce, Amartya Sanyal et al.
2923. **[Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations ↗](https://doi.org/10.52202/075280-0916)**Abhinav Kumar, Amit Deshpande, Amit Raj Sharma
2924. **[Causal Imitability Under Context-Specific Independence Relations ↗](https://doi.org/10.52202/075280-1165)**Fateme Jamshidi, Sina Akbari, Negar Kiyavash
2925. **[Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing ↗](https://doi.org/10.52202/075280-0239)**Xiangyu Sun, Oliver Schulte
2926. **[Certification of Distributional Individual Fairness ↗](https://doi.org/10.52202/075280-1203)**Matthew Wicker, Vihari Piratla, Adrian Weller
2927. **[Characteristic Circuits ↗](https://doi.org/10.52202/075280-1476)**Zhongjie Yu, Martin Trapp, Kristian Kersting
2928. **[Characterization of Overfitting in Robust Multiclass Classification ↗](https://doi.org/10.52202/075280-3345)**Jingyuan Xu, Weiwei Liu
2929. **[Characterizing the Impacts of Semi-supervised Learning for Weak Supervision ↗](https://doi.org/10.52202/075280-0191)**Jeffrey Li, Jieyu Zhang, Ludwig Schmidt et al.
2930. **[Characterizing the Optimal 0-1 Loss for Multi-class Classification with a Test-time Attacker ↗](https://doi.org/10.52202/075280-2153)**Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji et al.
2931. **[Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models ↗](https://doi.org/10.52202/075280-2904)**Deepak Narayanan, Keshav Santhanam, Peter B. Henderson et al.
2932. **[CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection ↗](https://doi.org/10.52202/075280-1758)**Yingjie Wang, Jiajun Deng, Yuenan Hou et al.
2933. **[Clustering the Sketch: Dynamic Compression for Embedding Tables ↗](https://doi.org/10.52202/075280-3159)**Henry Ling-Hei Tsang, Thomas D. Ahle
2934. **[CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning ↗](https://doi.org/10.52202/075280-2759)**Dadallage A R Silva, Spencer Whitehead, Christopher T. Lengerich et al.
2935. **[Coherent Soft Imitation Learning ↗](https://doi.org/10.52202/075280-0640)**Joe Watson, Sandy Huang, Nicolas Heess
2936. **[Collaborative Alignment of NLP Models ↗](https://doi.org/10.52202/075280-1692)**Fereshte Khani, Marco Túlio Ribeiro
2937. **[Combinatorial Group Testing with Selfish Agents ↗](https://doi.org/10.52202/075280-1449)**Georgios Chionas, Dariusz Kowalski, Piotr Krysta
2938. **[Common Ground in Cooperative Communication ↗](https://doi.org/10.52202/075280-0230)**Xiaoran Hao, Yash Jhaveri, Patrick Shafto
2939. **[Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems ↗](https://doi.org/10.52202/075280-0065)**Junyi Li, Feihu Huang, Heng Huang
2940. **[Compact Neural Volumetric Video Representations with Dynamic Codebooks ↗](https://doi.org/10.52202/075280-3314)**Haoyu Guo, Sida Peng, Yunzhi Yan et al.
2941. **[Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions ↗](https://doi.org/10.52202/075280-1215)**Leonidas Tsepenekas, Ivan Brugere, Freddy Lécué et al.
2942. **[Composable Coresets for Determinant Maximization: Greedy is Almost Optimal ↗](https://doi.org/10.52202/075280-1798)**Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar
2943. **[Compositional Sculpting of Iterative Generative Processes ↗](https://doi.org/10.52202/075280-0556)**Timur Garipov, Sebastiaan De Peuter, Ge Yang et al.
2944. **[Computational Guarantees for Doubly Entropic Wasserstein Barycenters ↗](https://doi.org/10.52202/075280-0543)**Tomas Vaškevičius, Lénaïc Chizat
2945. **[Computing Approximate p Sensitivities ↗](https://doi.org/10.52202/075280-1602)**Swati Padmanabhan, David P. Woodruff, Richard Zhang
2946. **[Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games ↗](https://doi.org/10.52202/075280-0120)**Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides et al.
2947. **[Connecting Pre-trained Language Model and Downstream Task via Properties of Representation ↗](https://doi.org/10.52202/075280-2044)**Chenwei Wu, Holden Lee, Rong Ge
2948. **[Conservative Offline Policy Adaptation in Multi-Agent Games ↗](https://doi.org/10.52202/075280-2260)**Chengjie Wu, Pingzhong Tang, Jun Yang et al.
2949. **[Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards ↗](https://doi.org/10.52202/075280-0128)**Silviu Pitis
2950. **[Constant Approximation for Individual Preference Stable Clustering ↗](https://doi.org/10.52202/075280-1892)**Anders Aamand, Justin Y. Chen, Allen Liu et al.
2951. **[Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing ↗](https://doi.org/10.52202/075280-3357)**Xi Yu, Xiang Gu, Haozhi Liu et al.
2952. **[Context-lumpable stochastic bandits ↗](https://doi.org/10.52202/075280-3404)**Chung-Wei Lee, Qinghua Liu, Yasin Abbasi Yadkori et al.
2953. **[ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion ↗](https://doi.org/10.52202/075280-2048)**Wei Xing, Yuxin Wang, Zheng Xing
2954. **[Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time ↗](https://doi.org/10.52202/075280-3171)**Xinyuan Cao, Santosh Vempala
2955. **[Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL ↗](https://doi.org/10.52202/075280-1356)**Chen Sun, Wannan Yang, Thomas Jiralerspong et al.
2956. **[Contrastive Sampling Chains in Diffusion Models ↗](https://doi.org/10.52202/075280-3216)**Junyu Zhang, Daochang Liu, Shichao Zhang et al.
2957. **[Contrastive Training of Complex-Valued Autoencoders for Object Discovery ↗](https://doi.org/10.52202/075280-0489)**Aleksandar Stanić, Anand Gopalakrishnan, Kazuki Irie et al.
2958. **[Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels ↗](https://doi.org/10.52202/075280-2751)**Jungbin Kim, Insoon Yang
2959. **[Convergence of Actor-Critic with Multi-Layer Neural Networks ↗](https://doi.org/10.52202/075280-0408)**Haoxing Tian, Alex Olshevsky, Yannis Paschalidis
2960. **[Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction ↗](https://doi.org/10.52202/075280-0684)**Taiji Suzuki, Denny Wu, Atsushi Nitanda
2961. **[Convex-Concave Zero-Sum Markov Stackelberg Games ↗](https://doi.org/10.52202/075280-2917)**Denizalp Goktas, Arjun Prakash, Amy Greenwald
2962. **[Cookie Consent Has Disparate Impact on Estimation Accuracy ↗](https://doi.org/10.52202/075280-1488)**Erik Miehling, Rahul Nair, Elizabeth M. Daly et al.
2963. **[Coop: Memory is not a Commodity ↗](https://doi.org/10.52202/075280-2171)**Jianhao Zhang, Shihan Ma, Peihong Liu et al.
2964. **[Correlation Aware Sparsified Mean Estimation Using Random Projection ↗](https://doi.org/10.52202/075280-2345)**Shuli Jiang, Pranay Sharma, Gauri Joshi
2965. **[Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry ↗](https://doi.org/10.52202/075280-1518)**Bariscan Bozkurt, Cengiz Pehlevan, Alper Tunga Erdogan
2966. **[Counterfactual Evaluation of Peer-Review Assignment Policies ↗](https://doi.org/10.52202/075280-2563)**Martin Saveski, Steven Jecmen, Nihar B. Shah et al.
2967. **[Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation ↗](https://doi.org/10.52202/075280-0504)**Shengpu Tang, Jenna Wiens
2968. **[Counterfactually Comparing Abstaining Classifiers ↗](https://doi.org/10.52202/075280-1229)**Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas
2969. **[Counting Distinct Elements Under Person-Level Differential Privacy ↗](https://doi.org/10.52202/075280-1521)**Thomas Steinke, Alexander Knop
2970. **[Covariance-adaptive best arm identification ↗](https://doi.org/10.52202/075280-3204)**El Mehdi Saad, Gilles Blanchard, Nicolas Verzélen
2971. **[Creating a Public Repository for Joining Private Data ↗](https://doi.org/10.52202/075280-3122)**James Cook, Milind Shyani, Nina Mishra
2972. **[Credal Marginal MAP ↗](https://doi.org/10.52202/075280-2072)**Radu Marinescu, Debarun Bhattacharjya, Junkyu Lee et al.
2973. **[DISCOVER: Making Vision Networks Interpretable via Competition and Dissection ↗](https://doi.org/10.52202/075280-1177)**Konstantinos Panousis, Sotirios Chatzis
2974. **[DISCS: A Benchmark for Discrete Sampling ↗](https://doi.org/10.52202/075280-3457)**Katayoon Goshvadi, Haoran Sun, Xingchao Liu et al.
2975. **[DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework ↗](https://doi.org/10.52202/075280-1934)**Siran Dai, Qianqian Xu, Zhiyong Yang et al.
2976. **[Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness ↗](https://doi.org/10.52202/075280-2742)**Tsai Chung-En, Y. Lin, Yen-Huan Li
2977. **[Data-Informed Geometric Space Selection ↗](https://doi.org/10.52202/075280-1007)**Shuai Zhang, Wenqi Jiang
2978. **[Debiased and Denoised Entity Recognition from Distant Supervision ↗](https://doi.org/10.52202/075280-0728)**Haobo Wang, Yiwen Dong, Ruixuan Xiao et al.
2979. **[Debiasing Conditional Stochastic Optimization ↗](https://doi.org/10.52202/075280-3449)**Lie He, Shiva Prasad Kasiviswanathan
2980. **[Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes ↗](https://doi.org/10.52202/075280-1954)**Walter Gerych, Kevin Hickey, Luke Buquicchio et al.
2981. **[Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence ↗](https://doi.org/10.52202/075280-1746)**Marie Maros, Gesualdo Scutari
2982. **[Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models ↗](https://doi.org/10.52202/075280-3520)**Siyan Zhao, Aditya Grover
2983. **[Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees ↗](https://doi.org/10.52202/075280-2902)**Sharan Vaswani, Amirreza Kazemi, Reza Babanezhad et al.
2984. **[Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems ↗](https://doi.org/10.52202/075280-3333)**Fiona Lippert, Bart Kranstauber, E. Emiel van Loon et al.
2985. **[Deep Recurrent Optimal Stopping ↗](https://doi.org/10.52202/075280-0536)**Niranjan Damera Venkata, Chiranjib Bhattacharyya
2986. **[Deep Stochastic Processes via Functional Markov Transition Operators ↗](https://doi.org/10.52202/075280-1653)**Jin Xu, Emilien Dupont, Kaspar Märtens et al.
2987. **[DeepPCR: Parallelizing Sequential Operations in Neural Networks ↗](https://doi.org/10.52202/075280-2062)**Federico Danieli, Miguel Sarabia, Xavier Suau Cuadros et al.
2988. **[Degraded Polygons Raise Fundamental Questions of Neural Network Perception ↗](https://doi.org/10.52202/075280-0425)**Leonard Tang, Dan Ley
2989. **[Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization ↗](https://doi.org/10.52202/075280-0987)**Wenzhi Gao, Qi Deng
2990. **[Delegated Classification ↗](https://doi.org/10.52202/075280-0579)**Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld
2991. **[Demographic Parity Constrained Minimax Optimal Regression under Linear Model ↗](https://doi.org/10.52202/075280-0378)**Kazuto Fukuchi, Jun Sakuma
2992. **[Demystifying the Optimal Performance of Multi-Class Classification ↗](https://doi.org/10.52202/075280-1374)**Minoh Jeong, Martina Cardone, Alex Dytso
2993. **[Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel ↗](https://doi.org/10.52202/075280-0046)**Valerii Likhosherstov, Krzysztof Choromański, Kumar Avinava Dubey et al.
2994. **[Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization ↗](https://doi.org/10.52202/075280-0669)**Jinxin Liu, Hongyin Zhang, Zifeng Zhuang et al.
2995. **[DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics ↗](https://doi.org/10.52202/075280-1301)**Zhiao Huang, Feng Chen, Yewen Pu et al.
2996. **[Differentiable Random Partition Models ↗](https://doi.org/10.52202/075280-2043)**Thomas M. Sutter, Alain Ryser, Joram Liebeskind et al.
2997. **[Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick ↗](https://doi.org/10.52202/075280-1325)**Lennert De Smet, Emanuele Sansone, Pedro Zuidberg Dos Martires
2998. **[Differentially Private Image Classification by Learning Priors from Random Processes ↗](https://doi.org/10.52202/075280-1557)**Xinyu Tang, Ashwinee Panda, Vikash Sehwag et al.
2999. **[Differentially Private Statistical Inference through β-Divergence One Posterior Sampling ↗](https://doi.org/10.52202/075280-3365)**Jack Jewson, Sahra Ghalebikesabi, Chris C Holmes
3000. **[Diffused Task-Agnostic Milestone Planner ↗](https://doi.org/10.52202/075280-0019)**Mineui Hong, Minjae Kang, Songhwai Oh

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