Elamur Research⌕
☰
home / venues / NeurIPS / 2022 / papers / page 28

NeurIPS 2022: all accepted papers

2,834 papers · page 28 of 29 · the most cited first · ← NeurIPS 2022

1 … 20 … 27 28 29

  1. Proppo: A Message Passing Framework for Customizable and Composable Learning Algorithms ↗Paavo Parmas, Takuma Seno
  2. Provable General Function Class Representation Learning in Multitask Bandits and MDP ↗Rui Lu, Andrew Zhao, Rui Lu et al.
  3. Provable Subspace Identification Under Post-Nonlinear Mixtures ↗Qi Lyu, Xiao Fu
  4. Provably Adversarially Robust Detection of Out-Of-Distribution Data (Almost) for Free ↗Alexander Meinke, Julian Bitterwolf, Matthias Hein
  5. Provably Efficient Offline Multi-Agent Reinforcement Learning Via Strategy-Wise Bonus ↗Qiwen Cui, Simon S. Du
  6. Provably Sample-Efficient RL with Side Information About Latent Dynamics ↗Yao Liu, Dipendra Kumar Misra, Miroslav Dudı́k et al.
  7. Proximal Point Imitation Learning ↗Luca Viano, Angeliki Kamoutsi, Gergely Neu et al.
  8. Pyramid Attention for Source Code Summarization ↗Lei Chai, Ming Li
  9. Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants ↗Andrew M. Childs, Tongyang Li, Jin-Peng Liu et al.
  10. Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits ↗Ilai Bistritz, Nicholas Bambos
  11. Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means ↗Rong Yin, Yong Liu, Weiping Wang et al.
  12. Rate-Optimal Online Convex Optimization in Adaptive Linear Control ↗Asaf Cassel, Alon Cohen, Tomer Koren
  13. Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks ↗Zhi-Hao Tan, Yi Xie, Yuan Jiang et al.
  14. Recruitment Strategies that Take a Chance ↗Gregory Kehne, Ariel Procaccia, Jingyan Wang
  15. Recursive Reinforcement Learning ↗Ernst Moritz Hahn, Mateo Perez, Sven Schewe et al.
  16. Redundancy-Free Message Passing for Graph Neural Networks ↗Rongqin Chen, Shenghui Zhang, Leong Hou U et al.
  17. Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model ↗Xuan-Phi Nguyen, Shafiq Joty, Kui Wu et al.
  18. Regret Bounds for Multilabel Classification in Sparse Label Regimes ↗Róbert Busa‐Fekete, Heejin Choi, Krzysztof Dembczyński et al.
  19. Regularized Molecular Conformation Fields ↗Lihao Wang, Yi Zhou, Yiqun Wang et al.
  20. Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space ↗Jonatha Anselmi, Bruno Gaujal, Louis-Sébastien Rebuffi
  21. Reinforcement Learning with Logarithmic Regret and Policy Switches ↗Grigoris Velegkas, Zhuoran Yang, Amin Karbasi
  22. Reinforcement Learning with Non-Exponential Discounting ↗Matthias Schultheis, Constantin A. Rothkopf, Heinz Koeppl
  23. Reinforcement Learning with a Terminator ↗Guy Tennenholtz, Nadav Merlis, Lior Shani et al.
  24. Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning ↗Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang et al.
  25. Retaining Knowledge for Learning with Dynamic Definition ↗Zichang Liu, Benjamin Coleman, Tianyi Zhang et al.
  26. Revisit Last-Iterate Convergence of mSGD Under Milder Requirement on Step Size ↗Ruinan Jin, Xingkang He, Lang Chen et al.
  27. Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching ↗Kelvin Cheng, Tianfu Wu, Christopher G. Healey
  28. Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime ↗Difan Zou, Jingfeng Wu, Vladimir Braverman et al.
  29. Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge ↗Hongjing Niu, Hanting Li, Feng zhao et al.
  30. Robust Bayesian Regression Via Hard Thresholding ↗Zheyi Fan, Zhaohui Li, Qingpei Hu
  31. Robust Binary Models by Pruning Randomly-Initialized Networks ↗Chen Liu, Ziqi Zhao, Sabine E. Susstrunk et al.
  32. Robust Generalized Method of Moments: A Finite Sample Viewpoint ↗Dhruv Rohatgi, Vasilis Syrgkanis
  33. Robust Model Selection and Nearly-Proper Learning for GMMs ↗Allen Liu, Jerry Li, Ankur Moitra
  34. Robust Models Are Less Over-Confident ↗Julia Grabinski, Paul Gavrikov, Jansi Keuper et al.
  35. Robust Rent Division ↗Dominik Peters, Ariel D. Procaccia, David Zhu
  36. Robust Streaming PCA ↗Daniel Bienstock, Minchan Jeong, Apurv Shukla et al.
  37. Robustness to Label Noise Depends on the Shape of the Noise Distribution ↗Diane Oyen, Michal Kucer, Nicolas Hengartner et al.
  38. Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior ↗James Gardner, Bernhard Egger, William Smith
  39. RényiCL: Contrastive Representation Learning with Skew Rényi Divergence ↗Kyungmin Lee, Jinwoo Shin
  40. SGAM: Building a Virtual 3D World Through Simultaneous Generation and Mapping ↗Yuan Shen, Wei-Chiu Ma, Shenlong Wang
  41. SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion ↗Sheng Yu Huang, Hao-Yu Hsu, Frank Wang
  42. SQ Lower Bounds for Learning Single Neurons with Massart Noise ↗Ilias Diakonikolas, Daniel M. Kane, Lisheng Ren et al.
  43. Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search ↗Shinsaku Sakaue, Taihei Oki
  44. Sampling Without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization ↗Aniket Das, Bernhard Schölkopf, Michael Muehlebach
  45. Sampling from Log-Concave Distributions with Infinity-Distance Guarantees ↗Oren Mangoubi, Nisheeth K. Vishnoi
  46. Scalable Design of Error-Correcting Output Codes Using Discrete Optimization with Graph Coloring ↗Samarth Gupta, Saurabh Amin
  47. Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees ↗Avinandan Bose, Arunesh Sinha, Tien Mai
  48. Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions ↗Andrew Jesson, Alyson Douglas, Peter Manshausen et al.
  49. Scalable and Efficient Non-Adaptive Deterministic Group Testing ↗Dariusz Kowalski, Dominik Pająk
  50. Searching for Better Spatio-Temporal Alignment in Few-Shot Action Recognition ↗Yichao Cao, Xiu Su, Qingfei Tang et al.
  51. Seeing the Forest and the Tree: Building Representations of Both Individual and Collective Dynamics with Transformers ↗Ran Liu, Mehdi Azabou, Max Dabagia et al.
  52. Self-Explaining Deviations for Coordination ↗Hengyuan Hu, Samuel Sokota, David Wu et al.
  53. Self-Supervised Pretraining for Large-Scale Point Clouds ↗Zaiwei Zhang, Min Bai, Erran Li Li
  54. Semi-Infinitely Constrained Markov Decision Processes ↗Liangyu Zhang, Yang Peng, Wenhao Yang et al.
  55. Semi-Supervised Active Linear Regression ↗Nived Rajaraman, Fnu Devvrit, Pranjal Awasthi
  56. Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization ↗Arman Serikuly Zharmagambetov, Miguel Á. Carreira-Perpiñán
  57. Shape and Structure Preserving Differential Privacy ↗Carlos J. Soto, Karthik Bharath, Matthew L. Reimherr et al.
  58. Sharing Knowledge for Meta-Learning with Feature Descriptions ↗Tomoharu Iwata, Atsutoshi Kumagai
  59. Signal Recovery with Non-Expansive Generative Network Priors ↗Jorio Cocola
  60. Simple and Optimal Greedy Online Contention Resolution Schemes ↗Vasilis Livanos
  61. Single-Pass Streaming Lower Bounds for Multi-Armed Bandits Exploration with Instance-Sensitive Sample Complexity ↗Sepehr Assadi, Chen Wang
  62. Sketching Based Representations for Robust Image Classification with Provable Guarantees ↗Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka et al.
  63. Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions ↗Lucas Baudin, Rida Laraki
  64. Smoothed Embeddings for Certified Few-Shot Learning ↗Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek et al.
  65. Society of Agents: Regret Bounds of Concurrent Thompson Sampling ↗Yan Chen, Perry Dong, Qinxun Bai et al.
  66. Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge ↗Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou
  67. Sparse Fourier Backpropagation in Cryo-EM Reconstruction ↗Dari Kimanius, Kiarash Jamali, Sjors H. W. Scheres
  68. Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model ↗Erchuan Zhang, David Suter, Giang Truong et al.
  69. Sparse Structure Search for Delta Tuning ↗Shengding Hu, Zhen Zhang, Ning Ding et al.
  70. Spherization Layer: Representation Using Only Angles ↗Hoyong Kim, Hoyong Kim
  71. Split-Kl and PAC-Bayes-Split-Kl Inequalities for Ternary Random Variables ↗Yi-Shan Wu, Yevgeny Seldin
  72. Stability and Generalization of Kernel Clustering: From Single Kernel to Multiple Kernel ↗Weixuan Liang, Xinwang Liu, Yong Liu et al.
  73. Star Temporal Classification: Sequence Modeling with Partially Labeled Data ↗Vineel Pratap, Awni Hannun, Gabriel Synnaeve et al.
  74. Statistical Learning and Inverse Problems: A Stochastic Gradient Approach ↗Yuri Fonseca, Yuri F. Saporito
  75. Stochastic Adaptive Activation Function ↗Kyungsu Lee, Jaeseung Yang, Haeyun Lee et al.
  76. Structured Energy Network as a Loss ↗Jay Yoon Lee, Dhruvesh Patel, Purujit Goyal et al.
  77. Structuring Representations Using Group Invariants ↗Mehran Shakerinava, Arnab Kumar Mondal, Siamak Ravanbakhsh
  78. Sub-Exponential Time Sum-Of-Squares Lower Bounds for Principal Components Analysis ↗Aaron Henry Potechin, Goutham Rajendran
  79. Subgame Solving in Adversarial Team Games ↗Brian Hu Zhang, Luca Carminati, Federico Cacciamani et al.
  80. Support Recovery in Sparse PCA with Incomplete Data ↗Hanbyul Lee, Qifan Song, Jean Honorio
  81. SurDis: A Surface Discontinuity Dataset for Wearable Technology to Assist Blind Navigation in Urban Environments ↗Kuan Yew Leong, Siew Mooi Lim
  82. Surprise Minimizing Multi-Agent Learning with Energy-Based Models ↗Karush Suri, Xiao Qi Shi, Konstantinos N. Plataniotis et al.
  83. Symmetry-Induced Disentanglement on Graphs ↗Giangiacomo Mercatali, André Freitas, Vikas Garg
  84. Systematic Improvement of Neural Network Quantum States Using Lanczos ↗Hongwei Chen, Douglas Hendry, Phillip Weinberg et al.
  85. TA-GATES: An Encoding Scheme for Neural Network Architectures ↗Xuefei Ning, Zixuan Zhou, Junbo Zhao et al.
  86. TREC: Transient Redundancy Elimination-Based Convolution ↗Jiawei Guan, Feng Zhang, Jiesong Liu et al.
  87. Target Alignment in Truncated Kernel Ridge Regression ↗Arash Amini, Richard Baumgartner, Dai Feng
  88. Task-Level Differentially Private Meta Learning ↗Xinyu Zhou, Raef Bassily
  89. Temporally-Consistent Survival Analysis ↗Lucas Maystre, Daniel Russo
  90. Text Classification with Born's Rule ↗Emanuele Guidotti, Alfio Ferrara
  91. The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization ↗Dmitry Kovalev, Alexander Gasnikov
  92. The Hessian Screening Rule ↗Johan Larsson, Jonas Wallin
  93. The Pitfalls of Regularization in Off-Policy TD Learning ↗Gaurav Manek, J. Zico Kolter
  94. The Price of Unfairness in Linear Bandits with Biased Feedback ↗Solenne Gaucher, Alexandra Carpentier, Christophe Giraud
  95. Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization ↗Idan Amir, Roi Livni, Nathan Srebro
  96. Thinned Random Measures for Sparse Graphs with Overlapping Communities ↗Federica Zoe Ricci, Michele Guindani, Erik B. Sudderth
  97. Thompson Sampling Efficiently Learns to Control Diffusion Processes ↗Mohamad Sadegh Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati
  98. Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret ↗Jiawei Huang, Li Zhao, Tao Qin et al.
  99. To Update Or Not to Update? Neurons at Equilibrium in Deep Models ↗Andrea Bragagnolo, Enzo Tartaglione, Marco Grangetto
  100. TotalSelfScan: Learning Full-Body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies ↗Junting Dong, Qi Fang, Yudong Guo et al.

1 … 20 … 27 28 29

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/papers/page/28/