Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models (English)
- New search for: Minervini, Pasquale
- New search for: Franceschi, Luca
- New search for: Niepert, Mathias
- New search for: Minervini, Pasquale
- New search for: Franceschi, Luca
- New search for: Niepert, Mathias
In:
37th AAAI Conference on Artificial Intelligence (AAAI-23) ; Volume 8, part 1 of 2
; 9200-9208
;
2023
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ISBN:
- Conference paper / Print
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Title:Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
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Contributors:
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Conference:AAAI Conference on Artificial Intelligence ; 37. ; 2023 ; Washington, DC; Online
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Published in:
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Publisher:
- New search for: Curran Associates, Inc.
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Place of publication:Red Hook, NY
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Publication date:2023
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ISBN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
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Source:
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Tight Performance Guarantees of Imitator Policies with Continuous ActionsMaran, Davide / Metelli, Alberto Maria / Restelli, Marcello et al. | 2023
- 9081
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Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical DataMargeloiu, Andrei / Simidjievski, Nikola / Lio, Pietro / Jamnik, Mateja et al. | 2023
- 9090
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Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient BuyersMashiah, Eitan-Hai / Attias, Idan / Mansour, Yishay et al. | 2023
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Boundary Graph Neural Networks for 3D SimulationsMayr, Andreas / Lehner, Sebastian / Mayrhofer, Arno / Kloss, Christoph / Hochreiter, Sepp / Brandstetter, Johannes et al. | 2023
- 9108
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Diffusion Models Beat GANs on Topology OptimizationMazé, Francgois / Ahmed, Faez et al. | 2023
- 9117
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VIDM: Video Implicit Diffusion ModelsMei, Kangfu / Patel, Vishal et al. | 2023
- 9126
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Towards Interpreting and Utilizing Symmetry Property in Adversarial ExamplesMei, Shibin / Zhao, Chenglong / Ni, Bingbing / Yuan, Shengchao et al. | 2023
- 9134
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The Unreasonable Effectiveness of Deep Evidential RegressionMeinert, Nis / Gawlikowski, Jakob / Lavin, Alexander et al. | 2023
- 9143
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HyperJump: Accelerating HyperBand via Risk ModellingMendes, Pedro / Casimiro, Maria / Romano, Paolo / Garlan, David et al. | 2023
- 9153
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MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time SeriesMeng, Qianwen / Qian, Hangwei / Liu, Yong / Cui, Lizhen / Xu, Yonghui / Shen, Zhiqi et al. | 2023
- 9162
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Off-Policy Proximal Policy OptimizationMeng, Wenjia / Zheng, Qian / Pan, Gang / Yin, Yilong et al. | 2023
- 9171
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Information-Theoretic Causal Discovery and Intervention Detection over Multiple EnvironmentsMian, Osman / Kamp, Michael / Vreeken, Jilles et al. | 2023
- 9180
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AIO-P: Expanding Neural Performance Predictors beyond Image ClassificationMills, Keith G. / Niu, Di / Salameh, Mohammad / Qiu, Weichen / Han, Fred X. / Liu, Puyuan / Zhang, Jialin / Lu, Wei / Jui, Shangling et al. | 2023
- 9190
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GENNAPE: Towards Generalized Neural Architecture Performance EstimatorsMills, Keith G. / Han, Fred X. / Zhang, Jialin / Chudak, Fabian / Mamaghani, Ali Safari / Salameh, Mohammad / Lu, Wei / Jui, Shangling / Niu, Di et al. | 2023
- 9200
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Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable ModelsMinervini, Pasquale / Franceschi, Luca / Niepert, Mathias et al. | 2023
- 9209
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Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree AssumptionMitterreiter, Matthias / Koch, Marcel / Giesen, Joachim / Laue, Soren et al. | 2023
- 9217
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Multiplex Graph Representation Learning via Common and Private Information MiningMo, Yujie / Wu, Zongqian / Chen, Yuhuan / Shi, Xiaoshuang / Shen, Heng Tao / Zhu, Xiaofeng et al. | 2023
- 9226
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Fundamentals of Task-Agnostic Data ValuationAmiri, Mohammad Mohammadi / Berdoz, Frederic / Raskar, Ramesh et al. | 2023
- 9235
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Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified PerspectiveMrabah, Nairouz / Amar, Mohamed Mahmoud / Bouguessa, Mohamed / Diallo, Abdoulaye Banire et al. | 2023
- 9243
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Corruption-Tolerant Algorithms for Generalized Linear ModelsMukhoty, Bhaskar / Dey, Debojyoti / Kar, Purushottam et al. | 2023
- 9251
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Provably Efficient Causal Model-Based Reinforcement Learning for Systematic GeneralizationMutti, Mirco / Santi, Riccardo De / Rossi, Emanuele / Calderon, Juan Felipe / Bronstein, Michael / Restelli, Marcello et al. | 2023
- 9260
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Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based ApproachNagarajan, Sai Ganesh / Palaiopanos, Gerasimos / Panageas, loannis / Vaidya, Tushar / Yu, Samson et al. | 2023
- 9268
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An Operator Theoretic Approach for Analyzing Sequence Neural NetworksNaiman, Ilan / Azencot, Omri et al. | 2023
- 9277
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Do Invariances in Deep Neural Networks Align with Human Perception?Nanda, Vedant / Majumdar, Ayan / Kolling, Camila / Dickerson, John P. / Gummadi, Krishna P. / Love, Bradley C. / Weller, Adrian et al. | 2023
- 9286
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Counterfactual Learning with General Data-Generating PoliciesNarita, Yusuke / Okumura, Kyohei / Shimizu, Akihiro / Yata, Kohei et al. | 2023
- 9294
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Efficient and Accurate Learning of Mixtures of Plackett-Luce ModelsNguyen, Duc / Zhang, Anderson Y. et al. | 2023
- 9302
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Behavioral Learning in Security Games: Threat of Multi-Step Manipulative AttacksNguyen, Thanh H. / Sinha, Arunesh et al. | 2023
- 9310
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On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function ApproximationNguyen-Tang, Thanh / Yin, Ming / Gupta, Sunil / Venkatesh, Svetha / Arora, Raman et al. | 2023
- 9319
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Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural NetworksOhno, Kentaro / Kanai, Sekitoshi / lda, Yasutoshi et al. | 2023
- 9327
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Backpropagation-Free Deep Learning with Recursive Local Representation AlignmentOrorbia, Alexander G. / Mali, Ankur / Kifer, Daniel / Giles, C. Lee et al. | 2023
- 9336
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Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & PlanningOuhamma, Reda / Basu, Debabrota / Maillard, Odalric et al. | 2023
- 9345
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H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman ProblemPan, Xuanhao / Jin, Yan / Ding, Yuandong / Feng, Mingxiao / Zhao, Li / Song, Lei / Bian, Jiang et al. | 2023
- 9354
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Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under UncertaintyPan, Zhenyu / Sharma, Anshujit / Hu, Jerry Yao-Chieh / Liu, Zhuo / Li, Ang / Liu, Han / Huang, Michael / Geng, Tony et al. | 2023
- 9364
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FedMDFG: Federated Learning with Multi-Gradient Descent and Fair GuidancePan, Zibin / Wang, Shuyi / Li, Chi / Wang, Haijin / Tang, Xiaoying / Zhao, Junhua et al. | 2023
- 9372
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Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled RepresentationsPan, Ziqi / Niu, Li / Zhang, Liqing et al. | 2023
- 9381
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Isometric Manifold Learning Using Hierarchical FlowPan, Ziqi / Zhang, Jianfu / Niu, Li / Zhang, Liging et al. | 2023
- 9389
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Evidential Conditional Neural ProcessesPandey, Deep Shankar / Yu, Qi et al. | 2023
- 9398
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- 9408
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Dynamic Structure Pruning for Compressing CNNsPark, Jun-Hyung / Kim, Yeachan / Kim, Junho / Choi, Joon-Young / Lee, SangKeun et al. | 2023
- 9417
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Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State AbstractionPavse, Brahma S. / Hanna, Josiah P. et al. | 2023
- 9426
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Conceptual Reinforcement Learning for Language-Conditioned TasksPeng, Shaohui / Hu, Xing / Zhang, Rui / Guo, Jiaming / Yi, Qi / Chen, Ruizhi / Du, Zidong / Li, Ling / Guo, Qi / Chen, Yunji et al. | 2023
- 9435
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Weighted Policy Constraints for Offline Reinforcement LearningPeng, Zhiyong / Han, Changlin / Liu, Yadong / Zhou, Zongtan et al. | 2023
- 9444
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Latent Autoregressive Source SeparationPostolache, Emilian / Mariani, Giorgio / Mancusi, Michele / Santilli, Andrea / Cosmo, Luca / Rodola, Emanuele et al. | 2023
- 9453
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Explaining Random Forests Using Bipolar Argumentation and Markov NetworksPotyka, Nico / Yin, Xiang / Toni, Francesca et al. | 2023
- 9461
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A Model-Agnostic Heuristics for Selective ClassificationPugnana, Andrea / Ruggieri, Salvatore et al. | 2023
- 9470
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Experimental Observations of the Topology of Convolutional Neural Network ActivationsPurvine, Emilie / Brown, Davis / Jefferson, Brett / Joslyn, Cliff / Praggastis, Brenda / Rathore, Archit / Shapiro, Madelyn / Wang, Bei / Zhou, Youjia et al. | 2023
- 9480
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CMVAE: Causal Meta VAE for Unsupervised Meta-LearningQi, Guodong / Yu, Huimin et al. | 2023
- 9489
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Rethinking Data-Free Quantization as a Zero-Sum GameQian, Biao / Wang, Yang / Hong, Richang / Wang, Meng et al. | 2023
- 9498
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Mixture Uniform Distribution Modeling and Asymmetric Mix Distillation for Class Incremental LearningQiang, Sunyuan / Hou, Jiayi / Wan, Jun / Liang, Yanyan / Lei, Zhen / Zhang, Du et al. | 2023
- 9507
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Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm DetectionQiao, Yang / Jing, Liqiang / Song, Xuemeng / Chen, Xiaolin / Zhu, Lei / Nie, Ligiang et al. | 2023
- 9516
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Training Meta-Surrogate Model for Transferable Adversarial AttackQin, Yunxiao / Xiong, Yuanhao / Yi, Jinfeng / Hsieh, Cho-Jui et al. | 2023
- 9525
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Stochastic Contextual Bandits with Long Horizon RewardsQin, Yuzhen / Li, Yingcong / Pasqualetti, Fabio / Fazel, Maryam / Oymak, Samet et al. | 2023
- 9534
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- 9543
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Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point ProcessesQu, Chao / Tan, Xiaoyu / Xue, Sigiao / Shi, Xiaoming / Zhang, James / Mei, Hongyuan et al. | 2023
- 9552
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GLUECons: A Generic Benchmark for Learning under ConstraintsFaghihi, Hossein Rajaby / Nafar, Aliakbar / Zheng, Chen / Mirzaee, Roshanak / Zhang, Yue / Uszok, Andrzej / Wan, Alexander / Premsri, Tanawan / Roth, Dan / Kordjamshidi, Parisa et al. | 2023
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Provable Detection of Propagating Sampling Bias in Prediction ModelsRavishankar, Pavan / Mo, Qingyu / McFowland, Edward / Neill, Daniel B. et al. | 2023
- 9570
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Diffusing Gaussian Mixtures for Generating Categorical DataRegol, Florence / Coates, Mark et al. | 2023
- 9579
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Hypernetworks for Zero-Shot Transfer in Reinforcement LearningRezaei-Shoshtari, Sahand / Morissette, Charlotte / Hogan, Francois R. / Dudek, Gregory / Meger, David et al. | 2023
- 9588
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Automata Cascades: Expressivity and Sample ComplexityRonca, Alessandro / Knorozova, Nadezda Alexandrovna / Giacomo, Giuseppe De et al. | 2023
- 9596
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ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot LearningRong, Yi / Lu, Xiongbo / Sun, Zhaoyang / Chen, Yaxiong / Xiong, Shengwu et al. | 2023
- 9606
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Planning and Learning with Adaptive LookaheadRosenberg, Aviv / Hallak, Assaf / Mannor, Shie / Chechik, Gal / Dalal, Gal et al. | 2023
- 9614
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DisGUIDE: Disagreement-Guided Data-Free Model EXtractionRosenthal, Jonathan / Enouen, Eric / Pham, Hung Viet / Tan, Lin et al. | 2023
- 9623
-
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal DistributionsRostami, Mohammad / Galstyan, Aram et al. | 2023
- 9632
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Inferring Patient Zero on Temporal Networks via Graph Neural NetworksRu, Xiaolei / Moore, Jack Murdoch / Zhang, Xin-Ya / Zeng, Yeting / Yan, Gang et al. | 2023
- 9641
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Accommodating Audio Modality in CLIP for Multimodal ProcessingRuan, Ludan / Hu, Anwen / Song, Yuqing / Zhang, Liang / Zheng, Sipeng / Jin, Qin et al. | 2023
- 9650
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Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood GlucoseRubin-Falcone, Harry / Lee, Joyce / Wiens, Jenna et al. | 2023
- 9658
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On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local StructureRusso, Alessio / Proutiere, Alexandre et al. | 2023
- 9668
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Simultaneously Updating All Persistence Values in Reinforcement LearningSabbioni, Luca / Daire, Luca Al / Bisi, Lorenzo / Metelli, Alberto Maria / Restelli, Marcello et al. | 2023