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# NeurIPS 2022: all accepted papers

2,834 papers · page 26 of 29 · the most cited first · [← NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/)

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2501. **[Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning ↗](https://doi.org/10.52202/068431-2273)**Niclas Boehmer, Robert Bredereck, Edith Elkind et al.
2502. **[Expected Improvement for Contextual Bandits ↗](https://doi.org/10.52202/068431-1651)**Hung Tran-The, Sunil Gupta, Santu Rana et al.
2503. **[Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces ↗](https://doi.org/10.52202/068431-1467)**Mojmír Mutný, Andreas Krause
2504. **[Explicable Policy Search ↗](https://doi.org/10.52202/068431-2816)**Ze Gong, Yu Tony Zhang
2505. **[Exploiting Semantic Relations for Glass Surface Detection ↗](https://doi.org/10.52202/068431-1634)**Jiaying Lin, Yuen Hei Yeung, Rynson W. H. Lau
2506. **[Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection ↗](https://doi.org/10.52202/068431-1496)**Fan Wang, Adams Wai Kin Kong
2507. **[Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training ↗](https://doi.org/10.52202/068431-2778)**Peng Jiang, Lihan Hu, Shihui Song
2508. **[Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods ↗](https://doi.org/10.52202/068431-2165)**Kimon Antonakopoulos, Ali Kavis, Volkan Cevher
2509. **[Extrapolative Continuous-Time Bayesian Neural Network for Fast Training-Free Test-Time Adaptation ↗](https://doi.org/10.52202/068431-2609)**Hengguan Huang, Xiangming Gu, Hao Wang et al.
2510. **[FETA: Towards Specializing Foundational Models for Expert Task Applications ↗](https://doi.org/10.52202/068431-2166)**Amit Alfassy, Assaf Arbelle, Oshri Halimi et al.
2511. **[FIRE: Semantic Field of Words Represented as Non-Linear Functions ↗](https://doi.org/10.52202/068431-2688)**Xin Du, Kumiko Tanaka‐Ishii
2512. **[Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits ↗](https://doi.org/10.52202/068431-0605)**Tong Mu, Yash Chandak, Tatsunori Hashimoto et al.
2513. **[Fair and Optimal Decision Trees: A Dynamic Programming Approach ↗](https://doi.org/10.52202/068431-2819)**Jacobus G. M. van der Linden, Mathijs M. De Weerdt, Emir Demirović
2514. **[Fast Algorithms for Packing Proportional Fairness and Its Dual ↗](https://doi.org/10.52202/068431-1867)**F. Criado, David Martínez-Rubio, Sebastian Pokutta
2515. **[Fast Distance Oracles for Any Symmetric Norm ↗](https://doi.org/10.52202/068431-0530)**Yichuan Deng, Zhao Song, Omri Weinstein et al.
2516. **[Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm Under Parallelization ↗](https://doi.org/10.52202/068431-2429)**Benjamin Dubois-Taine, Francis Bach, Quentin Berthet et al.
2517. **[Few-Shot Task-Agnostic Neural Architecture Search for Distilling Large Language Models ↗](https://doi.org/10.52202/068431-2076)**Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu et al.
2518. **[Finding Optimal Arms in Non-Stochastic Combinatorial Bandits with Semi-Bandit Feedback and Finite Budget ↗](https://doi.org/10.52202/068431-1499)**Jasmin Brandt, Viktor Bengs, Björn Haddenhorst et al.
2519. **[Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms ↗](https://doi.org/10.52202/068431-1343)**Jiechao Guan, Yong Liu, Lu Zhiwu
2520. **[Finite Sample Analysis of Dynamic Regression Parameter Learning ↗](https://doi.org/10.52202/068431-1770)**Mark Kozdoba, Edward Moroshko, Shie Mannor et al.
2521. **[Fixed-Distance Hamiltonian Monte Carlo ↗](https://doi.org/10.52202/068431-1541)**Hadi Mohasel Afshar, Sally Cripps
2522. **[FlowHMM: Flow-Based Continuous Hidden Markov Models ↗](https://doi.org/10.52202/068431-0638)**Paweł Lorek, Rafał Nowak, T. P. Trzcinski et al.
2523. **[Formalizing Consistency and Coherence of Representation Learning ↗](https://doi.org/10.52202/068431-0498)**Harald Strömfelt, Luke Dickens, Artur d’Avila Garcez et al.
2524. **[Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains ↗](https://doi.org/10.52202/068431-0599)**Nicolai Engelmann, Heinz Koeppl
2525. **[Foundation Posteriors for Approximate Probabilistic Inference ↗](https://doi.org/10.52202/068431-0385)**Mike Wu, Noah D. Goodman
2526. **[Functional Ensemble Distillation ↗](https://doi.org/10.52202/068431-0128)**Coby Penso, Idan Achituve, Ethan Fetaya
2527. **[Functional Indirection Neural Estimator for Better Out-Of-Distribution Generalization ↗](https://doi.org/10.52202/068431-0216)**Kha Pham, Thai Hung Le, Man Ngo et al.
2528. **[Fused Orthogonal Alternating Least Squares for Tensor Clustering ↗](https://doi.org/10.52202/068431-0578)**Jiacheng Wang, Dan Nicolae
2529. **[GAPX: Generalized Autoregressive Paraphrase-Identification X ↗](https://doi.org/10.52202/068431-0161)**Yifei Zhou, Renyu Li, Hayden Housen et al.
2530. **[GBA: A Tuning-Free Approach to Switch Between Synchronous and Asynchronous Training for Recommendation Models ↗](https://doi.org/10.52202/068431-2141)**Wenbo Su, Yuanxing Zhang, Yufeng Cai et al.
2531. **[GRASP: Navigating Retrosynthetic Planning with Goal-Driven Policy ↗](https://doi.org/10.52202/068431-0745)**Yemin Yu, Ying Wei, Kun Kuang et al.
2532. **[Gaussian Copula Embeddings ↗](https://doi.org/10.52202/068431-1604)**Chien Lu, Jaakko Peltonen
2533. **[Generalization Analysis on Learning with a Concurrent Verifier ↗](https://doi.org/10.52202/068431-0302)**Masaaki Nishino, Kengo Nakamura, Norihito Yasuda
2534. **[Generalization Bounds for Gradient Methods Via Discrete and Continuous Prior ↗](https://doi.org/10.52202/068431-0770)**Xuanyuan Luo, Luo Bei, Jian Li
2535. **[Generalization Bounds with Minimal Dependency on Hypothesis Class Via Distributionally Robust Optimization ↗](https://doi.org/10.52202/068431-2000)**Yibo Zeng, Henry Lam
2536. **[Generalization Properties of NAS Under Activation and Skip Connection Search ↗](https://doi.org/10.52202/068431-1711)**Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos et al.
2537. **[Generalizing Consistent Multi-Class Classification with Rejection to Be Compatible with Arbitrary Losses ↗](https://doi.org/10.52202/068431-0038)**Yuzhou Cao, Tianchi Cai, Lei Feng et al.
2538. **[Generative Status Estimation and Information Decoupling for Image Rain Removal ↗](https://doi.org/10.52202/068431-0333)**Di Lin, Xin Eric Wang, Jia Shen et al.
2539. **[Geodesic Self-Attention for 3D Point Clouds ↗](https://doi.org/10.52202/068431-0448)**Zhengyu Li, Xuan Tang, Zihao Xu et al.
2540. **[Global Convergence of Federated Learning for Mixed Regression ↗](https://doi.org/10.52202/068431-2167)**Lili Su, Jiaming Xu, Pengkun Yang
2541. **[Global Optimal K-Medoids Clustering of One Million Samples ↗](https://doi.org/10.52202/068431-0072)**Jiayang Ren, Kaixun Hua, Yankai Cao
2542. **[Graph Convolution Network Based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy ↗](https://doi.org/10.52202/068431-0282)**Leyan Deng, Defu Lian, Chenwang Wu et al.
2543. **[Graph Learning Assisted Multi-Objective Integer Programming ↗](https://doi.org/10.52202/068431-1292)**Yaoxin Wu, Wen Song, Zhiguang Cao et al.
2544. **[Grounded Reinforcement Learning: Learning to Win the Game Under Human Commands ↗](https://doi.org/10.52202/068431-0545)**Shusheng Xu, Huaijie Wang, Yi Wu
2545. **[HAPI: A Large-Scale Longitudinal Dataset of Commercial ML API Predictions ↗](https://doi.org/10.52202/068431-1784)**Lingjiao Chen, Zhihua Jin, Evan Sabri Eyuboglu et al.
2546. **[Hardness in Markov Decision Processes: Theory and Practice ↗](https://doi.org/10.52202/068431-1078)**Michelangelo Conserva, Paulo Rauber
2547. **[Hedging as Reward Augmentation in Probabilistic Graphical Models ↗](https://doi.org/10.52202/068431-2018)**Debarun Bhattacharjya, Radu Marinescu
2548. **[Hierarchical Lattice Layer for Partially Monotone Neural Networks ↗](https://doi.org/10.52202/068431-0806)**Hiroki Yanagisawa, Kohei Miyaguchi, Takayuki Katsuki
2549. **[Homomorphic Matrix Completion ↗](https://doi.org/10.52202/068431-0886)**Xiao-Yang Liu, Zechu Steven Li, Xiaodong Wang
2550. **[How Well Do Unsupervised Learning Algorithms Model Human Real-Time and Life-Long Learning? ↗](https://doi.org/10.52202/068431-1644)**Chengxu Zhuang, Ziyu Xiang, Yoon Bai et al.
2551. **[Human-AI Collaborative Bayesian Optimisation ↗](https://doi.org/10.52202/068431-1181)**Arun Kumar A V, Santu Rana, Alistair P. Shilton et al.
2552. **[HumanLiker: A Human-Like Object Detector to Model the Manual Labeling Process ↗](https://doi.org/10.52202/068431-0167)**Haoran Wei, Ping Guo, Yangguang Zhu et al.
2553. **[Identifiability and Generalizability from Multiple Experts in Inverse Reinforcement Learning ↗](https://doi.org/10.52202/068431-0040)**Paul Rolland, Luca Viano, Norman Schürhoff et al.
2554. **[Implications of Model Indeterminacy for Explanations of Automated Decisions ↗](https://doi.org/10.52202/068431-0567)**Marc-Etienne Brunet, Ashton Anderson, Richard Zemel
2555. **[Implicit Regularization Or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions ↗](https://doi.org/10.52202/068431-2608)**Courtney Paquette, Elliot Paquette, Ben Adlam et al.
2556. **[Improving Task-Specific Generalization in Few-Shot Learning Via Adaptive Vicinal Risk Minimization ↗](https://doi.org/10.52202/068431-0241)**Long-Kai Huang, Ying Wei
2557. **[In Differential Privacy, There is Truth: On Vote-Histogram Leakage in Ensemble Private Learning ↗](https://doi.org/10.52202/068431-2104)**Jiaqi Wang, Roei Schuster, I Shumailov et al.
2558. **[Incrementality Bidding Via Reinforcement Learning Under Mixed and Delayed Rewards ↗](https://doi.org/10.52202/068431-0156)**Ashwinkumar Badanidiyuru, Zhe Feng, Tianxi Li et al.
2559. **[Independence Testing for Bounded Degree Bayesian Networks ↗](https://doi.org/10.52202/068431-1093)**Arnab Bhattacharyya, Clément L. Canonne, Qiping Yang
2560. **[Infinite-Fidelity Coregionalization for Physical Simulation ↗](https://doi.org/10.52202/068431-1883)**Shibo Li, Zheng Wang, Robert Kirby et al.
2561. **[Interpolation and Regularization for Causal Learning ↗](https://doi.org/10.52202/068431-2654)**Leena Chennuru Vankadara, Luca Rendsburg, Ulrike Von Luxburg A et al.
2562. **[Invariance Learning Based on Label Hierarchy ↗](https://doi.org/10.52202/068431-2181)**Shoji Toyota, Kenji Fukumizu
2563. **[Invariance-Aware Randomized Smoothing Certificates ↗](https://doi.org/10.52202/068431-2486)**Jan Schuchardt, Stephan Günnemann
2564. **[Is This the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations ↗](https://doi.org/10.52202/068431-0690)**Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Karthikeyan Shanmugam
2565. **[KSD Aggregated Goodness-Of-Fit Test ↗](https://doi.org/10.52202/068431-2364)**Antonin Schrab, Benjamin Guedj, Arthur Gretton
2566. **[Kernel Multimodal Continuous Attention ↗](https://doi.org/10.52202/068431-1312)**Alexander Moreno, Zhenke Wu, Supriya Nagesh et al.
2567. **[LOG: Active Model Adaptation for Label-Efficient OOD Generalization ↗](https://doi.org/10.52202/068431-0801)**Jie-Jing Shao, Lan-Zhe Guo, Xiao-Wen Yang et al.
2568. **[Langevin Autoencoders for Learning Deep Latent Variable Models ↗](https://doi.org/10.52202/068431-0965)**Shohei Taniguchi, Yusuke Iwasawa, Wataru Kumagai et al.
2569. **[Latent Planning Via Expansive Tree Search ↗](https://doi.org/10.52202/068431-1224)**Robert Gieselmann, Florian T. Pokorny
2570. **[Learning (Very) Simple Generative Models is Hard ↗](https://doi.org/10.52202/068431-2547)**Sitan Chen, Jerry Li, Yuanzhi Li
2571. **[Learning Bipartite Graphs: Heavy Tails and Multiple Components ↗](https://doi.org/10.52202/068431-1021)**José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel P. Palomar
2572. **[Learning Concept Credible Models for Mitigating Shortcuts ↗](https://doi.org/10.52202/068431-2416)**Jiaxuan Wang, Sarah Jabbour, Maggie Makar et al.
2573. **[Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers ↗](https://doi.org/10.52202/068431-0796)**Saikiran Bulusu, Geethu Joseph, M. Cenk Gursoy et al.
2574. **[Learning Dynamics of Deep Linear Networks with Multiple Pathways ↗](https://doi.org/10.52202/068431-2469)**Jianghong Shi, Eric Shea‐Brown, Michael A. Buice
2575. **[Learning Enhanced Representation for Tabular Data Via Neighborhood Propagation ↗](https://doi.org/10.52202/068431-1191)**Kounianhua Du, Weinan Zhang, Ruiwen Zhou et al.
2576. **[Learning Expressive Meta-Representations with Mixture of Expert Neural Processes ↗](https://doi.org/10.52202/068431-1903)**Qi Wang, Herke van Hoof
2577. **[Learning Fractional White Noises in Neural Stochastic Differential Equations ↗](https://doi.org/10.52202/068431-2730)**Anh Tong, Thanh Nguyen-Tang, Toan Bao Tran et al.
2578. **[Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems ↗](https://doi.org/10.52202/068431-2220)**Rushang Karia, Rashmeet Kaur Nayyar, Siddharth Srivastava
2579. **[Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion ↗](https://doi.org/10.52202/068431-1161)**Haixu Ma, Donglin Zeng, Yufeng Liu
2580. **[Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs ↗](https://doi.org/10.52202/068431-0668)**Çağatay Yıldız, Melih Kandemir, Barbara Rakitsch
2581. **[Learning Recourse on Instance Environment to Enhance Prediction Accuracy ↗](https://doi.org/10.52202/068431-1849)**Lokesh N, Guntakanti Sai Koushik, Abir De et al.
2582. **[Learning Robust Dynamics Through Variational Sparse Gating ↗](https://doi.org/10.52202/068431-0118)**Arnav Jain, Shivakanth Sujit, Shruti Joshi et al.
2583. **[Learning Robust Rule Representations for Abstract Reasoning Via Internal Inferences ↗](https://doi.org/10.52202/068431-2431)**Wenbo Zhang, Likai Tang, Site Mo et al.
2584. **[Learning Structure from the Ground up - Hierarchical Representation Learning by Chunking ↗](https://doi.org/10.52202/068431-2660)**Shuchen Wu, Noémi Éltető, Ishita Dasgupta et al.
2585. **[Learning Tractable Probabilistic Models from Inconsistent Local Estimates ↗](https://doi.org/10.52202/068431-0753)**Shasha Jin, Vasundhara Komaragiri, Tahrima Rahman et al.
2586. **[Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium ↗](https://doi.org/10.52202/068431-2410)**Chris Junchi Li, Dongruo Zhou, Quanquan Gu et al.
2587. **[Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning ↗](https://doi.org/10.52202/068431-2248)**Yixuan Pei, Zhiwu Qing, Jun Cen et al.
2588. **[Learning and Covering Sums of Independent Random Variables with Unbounded Support ↗](https://doi.org/10.52202/068431-1826)**Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis
2589. **[Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context ↗](https://doi.org/10.52202/068431-0803)**Osama A. Hanna, Lin Yang, Christina Fragouli
2590. **[Learning from a Sample in Online Algorithms ↗](https://doi.org/10.52202/068431-1007)**C. J. Argue, ALAN M. FRIEZE, Anupam Gupta et al.
2591. **[Learning on Arbitrary Graph Topologies Via Predictive Coding ↗](https://doi.org/10.52202/068431-2770)**Tommaso Salvatori, Luca Pinchetti, Beren Millidge et al.
2592. **[Learning on the Edge: Online Learning with Stochastic Feedback Graphs ↗](https://doi.org/10.52202/068431-2520)**Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven et al.
2593. **[Learning to Constrain Policy Optimization with Virtual Trust Region ↗](https://doi.org/10.52202/068431-0928)**Thai Hung Le, Thommen K. George, Majid Abdolshah et al.
2594. **[Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs ↗](https://doi.org/10.52202/068431-0701)**Djordje Miladinovic, Kumar Shridhar, Kushal Jain et al.
2595. **[Learning versus Refutation in Noninteractive Local Differential Privacy ↗](https://doi.org/10.52202/068431-1327)**Alexander Edmonds, Aleksandar Nikolov, Toniann Pitassi
2596. **[Learning with Little Mixing ↗](https://doi.org/10.52202/068431-0334)**Ingvar Ziemann, Stephen Tu
2597. **[Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-Based Best-First Search for Sokoban Planning ↗](https://doi.org/10.52202/068431-2630)**Dieqiao Feng, Carla P. Gomes, Bart Selman
2598. **[Less-Forgetting Multi-Lingual Fine-Tuning ↗](https://doi.org/10.52202/068431-1085)**Yuren Mao, Yaobo Liang, Nan Duan et al.
2599. **[Linear Label Ranking with Bounded Noise ↗](https://doi.org/10.52202/068431-1138)**Dimitris A. Fotakis, Alkis Kalavasis, Vasilis Kontonis et al.
2600. **[List-Decodable Sparse Mean Estimation ↗](https://doi.org/10.52202/068431-1745)**Shiwei Zeng, Jie Shen

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