Search results for "PAC"

Hits ?▲	Authors	Title	Venue	Year	Link
14	Jaron Skovsted Gundersen, Bulut Kuskonmaz, Rafael Wisniewski	Secure PAC Bayesian Regression via Real Shamir Secret Sharing.	CoRR	2021	DBLP BibTeX RDF
14	Renjue Li, Pengfei Yang, Cheng-Chao Huang, Bai Xue 0001, Lijun Zhang 0001	Probabilistic Robustness Analysis for DNNs based on PAC Learning.	CoRR	2021	DBLP BibTeX RDF
14	Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj	Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound.	CoRR	2021	DBLP BibTeX RDF
14	Guillaume Vidot, Paul Viallard, Amaury Habrard, Emilie Morvant	A PAC-Bayes Analysis of Adversarial Robustness.	CoRR	2021	DBLP BibTeX RDF
14	Alessandro Ronca, Giuseppe De Giacomo	Efficient PAC Reinforcement Learning in Regular Decision Processes.	CoRR	2021	DBLP BibTeX RDF
14	Yi-Shan Wu 0003, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin	Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote.	CoRR	2021	DBLP BibTeX RDF
14	Mohammad Rowshan, Emanuele Viterbo	On Convolutional Precoding in PAC Codes.	CoRR	2021	DBLP BibTeX RDF
14	He Sun 0008, Emanuele Viterbo, Rongke Liu	Optimized Rate-Profiling for PAC Codes.	CoRR	2021	DBLP BibTeX RDF
14	Christer Holmberg, Justin Uberti	Interactive Connectivity Establishment Patiently Awaiting Connectivity (ICE PAC).	RFC	2021	DBLP DOI BibTeX RDF
14	Hanwen Yao, Arman Fazeli, Alexander Vardy	List Decoding of Arıkan's PAC Codes.	Entropy	2021	DBLP DOI BibTeX RDF
14	Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor	PAC-Bayes Unleashed: Generalisation Bounds with Unbounded Losses.	Entropy	2021	DBLP DOI BibTeX RDF
14	Benjamin Guedj, Louis Pujol	Still No Free Lunches: The Price to Pay for Tighter PAC-Bayes Bounds.	Entropy	2021	DBLP DOI BibTeX RDF
14	Imon Banerjee, Vinayak A. Rao, Harsha Honnappa	PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models.	Entropy	2021	DBLP DOI BibTeX RDF
14	Felix Biggs, Benjamin Guedj	Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks.	Entropy	2021	DBLP DOI BibTeX RDF
14	Yu Wu, Li Pan	SG-PAC: A stochastic game approach to generate personal privacy paradox access-control policies in social networks.	Comput. Secur.	2021	DBLP DOI BibTeX RDF
14	Mohsen Moradi	On Sequential Decoding Metric Function of Polarization-Adjusted Convolutional (PAC) Codes.	IEEE Trans. Commun.	2021	DBLP DOI BibTeX RDF
14	Cheng-Yan Guo, Kuan-Jen Wang, Tung-Li Hsieh	Piezoelectric Sensor for the Monitoring of Arterial Pulse Wave: Detection of Arrhythmia Occurring in PAC/PVC Patients.	Sensors	2021	DBLP DOI BibTeX RDF
14	Anirudha Majumdar, Alec Farid, Anoopkumar Sonar	PAC-Bayes control: learning policies that provably generalize to novel environments.	Int. J. Robotics Res.	2021	DBLP DOI BibTeX RDF
14	Thibaud Tonnellier, Warren J. Gross	On Systematic Polarization-Adjusted Convolutional (PAC) Codes.	IEEE Commun. Lett.	2021	DBLP DOI BibTeX RDF
14	Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant	Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound.	ECML/PKDD (2)	2021	DBLP DOI BibTeX RDF
14	Lamine Noureddine, Annelie Heuser, Cassius Puodzius, Olivier Zendra	SE-PAC: A Self-Evolving PAcker Classifier against rapid packers evolution.	CODASPY	2021	DBLP DOI BibTeX RDF
14	Kai-Min Chung, Han-Hsuan Lin	Sample Efficient Algorithms for Learning Quantum Channels in PAC Model and the Approximate State Discrimination Problem.	TQC	2021	DBLP DOI BibTeX RDF
14	Sharu Theresa Jose, Osvaldo Simeone	A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization.	MLSP	2021	DBLP DOI BibTeX RDF
14	Luca Asunis, Vittoria Frau, Riccardo Macis, Chiara Pireddu, Lucio Davide Spano	PAC-Bot: Writing Text Messages for Developing Point-and-Click Games.	IS-EUD	2021	DBLP DOI BibTeX RDF
14	Noga Alon, Steve Hanneke, Ron Holzman, Shay Moran	A Theory of PAC Learnability of Partial Concept Classes.	FOCS	2021	DBLP DOI BibTeX RDF
14	Alex Devonport, Adnane Saoud, Murat Arcak	Symbolic Abstractions From Data: A PAC Learning Approach.	CDC	2021	DBLP DOI BibTeX RDF
14	Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky	PAC-Bayesian theory for stochastic LTI systems.	CDC	2021	DBLP DOI BibTeX RDF
14	Qingping Yu, Zhiping Shi 0001	Threshold-Based List Decoding for PAC Codes.	ICCT	2021	DBLP DOI BibTeX RDF
14	Mohammad Rowshan, Emanuele Viterbo	On Convolutional Precoding in PAC Codes.	GLOBECOM (Workshops)	2021	DBLP DOI BibTeX RDF
14	He Sun 0008, Emanuele Viterbo, Rongke Liu	Analysis of Polarization-adjusted Convolutional Codes (PAC): A Source-Channel Coding Method.	GLOBECOM (Workshops)	2021	DBLP DOI BibTeX RDF
14	Hanrui Zhang, Vincent Conitzer	Incentive-Aware PAC Learning.	AAAI	2021	DBLP DOI BibTeX RDF
14	Prasad Tadepalli, Stuart J. Russell	PAC Learning of Causal Trees with Latent Variables.	AAAI	2021	DBLP DOI BibTeX RDF
14	Wook-Hee Kim, Madhava Krishnan Ramanathan, Xinwei Fu, Sanidhya Kashyap, Changwoo Min	PACTree: A High Performance Persistent Range Index Using PAC Guidelines.	SOSP	2021	DBLP DOI BibTeX RDF
14	Naghmeh Zamani, Ashkan Pourkand, Heather Culbertson, David Grow	Plate-and-Cable (PAC) Haptic Device for Orthopaedic Training.	ISMR	2021	DBLP DOI BibTeX RDF
14	Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang	PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging.	MICCAI (3)	2021	DBLP DOI BibTeX RDF
14	Joseph Tassarotti, Koundinya Vajjha, Anindya Banerjee 0001, Jean-Baptiste Tristan	A formal proof of PAC learnability for decision stumps.	CPP	2021	DBLP DOI BibTeX RDF
14	Nan Ding 0002, Xi Chen 0071, Tomer Levinboim, Sebastian Goodman, Radu Soricut	Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning.	NeurIPS	2021	DBLP BibTeX RDF
14	Satchit Sivakumar, Mark Bun, Marco Gaboardi	Multiclass versus Binary Differentially Private PAC Learning.	NeurIPS	2021	DBLP BibTeX RDF
14	Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner	How Tight Can PAC-Bayes be in the Small Data Regime?	NeurIPS	2021	DBLP BibTeX RDF
14	Paul Viallard, Guillaume Vidot, Amaury Habrard, Emilie Morvant	A PAC-Bayes Analysis of Adversarial Robustness.	NeurIPS	2021	DBLP BibTeX RDF
14	Jiafan He, Dongruo Zhou, Quanquan Gu	Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation.	NeurIPS	2021	DBLP BibTeX RDF
14	Emmanuel Abbe, Pritish Kamath, Eran Malach, Colin Sandon, Nathan Srebro	On the Power of Differentiable Learning versus PAC and SQ Learning.	NeurIPS	2021	DBLP BibTeX RDF
14	Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj	Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound.	NeurIPS	2021	DBLP BibTeX RDF
14	Yi-Shan Wu 0003, Andrés R. Masegosa, Stephan Sloth Lorenzen, Christian Igel, Yevgeny Seldin	Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote.	NeurIPS	2021	DBLP BibTeX RDF
14	Alec Farid, Anirudha Majumdar	Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability.	NeurIPS	2021	DBLP BibTeX RDF
14	Peter Grünwald, Thomas Steinke 0002, Lydia Zakynthinou	PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes.	COLT	2021	DBLP BibTeX RDF
14	Badih Ghazi, Noah Golowich, Ravi Kumar 0001, Pasin Manurangsi	Sample-efficient proper PAC learning with approximate differential privacy.	STOC	2021	DBLP DOI BibTeX RDF
14	Renjie Liao, Raquel Urtasun, Richard S. Zemel	A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks.	ICLR	2021	DBLP BibTeX RDF
14	Sangdon Park 0001, Shuo Li, Insup Lee 0001, Osbert Bastani	PAC Confidence Predictions for Deep Neural Network Classifiers.	ICLR	2021	DBLP BibTeX RDF
14	Jonas Rothfuss, Vincent Fortuin, Martin Josifoski, Andreas Krause 0001	PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees.	ICML	2021	DBLP BibTeX RDF
14	Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao	PAC-Learning for Strategic Classification.	ICML	2021	DBLP BibTeX RDF
14	Jie Shen 0005	Sample-Optimal PAC Learning of Halfspaces with Malicious Noise.	ICML	2021	DBLP BibTeX RDF
14	Guy N. Rothblum, Gal Yona	Multi-group Agnostic PAC Learnability.	ICML	2021	DBLP BibTeX RDF
14	Alessandro Ronca, Giuseppe De Giacomo	Efficient PAC Reinforcement Learning in Regular Decision Processes.	IJCAI	2021	DBLP DOI BibTeX RDF
14	Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter	Provably Safe PAC-MDP Exploration Using Analogies.	AISTATS	2021	DBLP BibTeX RDF
14	Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Gabriel Arpino, Daniel M. Roy 0001	On the role of data in PAC-Bayes.	AISTATS	2021	DBLP BibTeX RDF
14	Manuel Haußmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir	Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes.	AISTATS	2021	DBLP BibTeX RDF
14	Yuki Ohnishi, Jean Honorio	Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation.	AISTATS	2021	DBLP BibTeX RDF
14	Michael A. Tope, Joel M. Morris	A PAC-bound on the Channel Capacity of an Observed Discrete Memoryless Channel.	CISS	2021	DBLP DOI BibTeX RDF
14	Michael A. Tope, Joel M. Morris	Improvements to Sanov and PAC Sublevel-set Bounds for Discrete Random Variables.	CISS	2021	DBLP DOI BibTeX RDF
14	M. Brenda, L. FranklinTelfer, E. Preethi, Uddandam Vijay Kumar, Chinnappannagari Hithasree	Circular Planar Pac-man Antenna Toward Multiband Operations.	SN Comput. Sci.	2020	DBLP DOI BibTeX RDF
14	Jan Dobrowolski, Daniel Max Hoffmann, Junguk Lee	Elementary Equivalence Theorem for PAC Structures.	J. Symb. Log.	2020	DBLP DOI BibTeX RDF
14	Qinghe Zheng, Xinyu Tian, Mingqiang Yang, Yulin Wu, Huake Su	PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning.	Multidimens. Syst. Signal Process.	2020	DBLP DOI BibTeX RDF
14	Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Matthew A. Garratt, Edwin Lughofer	PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles.	Inf. Sci.	2020	DBLP DOI BibTeX RDF
14	Beilun Wang, Rui Ma, Jingyu Kuang, Yan Zhang 0100	How Decisions Are Made in Brains: Unpack "Black Box" of CNN With Ms. Pac-Man Video Game.	IEEE Access	2020	DBLP DOI BibTeX RDF
14	Ramil Yarullin, Sergei Obiedkov	From equivalence queries to PAC learning: The case of implication theories.	Int. J. Approx. Reason.	2020	DBLP DOI BibTeX RDF
14	Bashir O. Betar, Mohammed Abdulhakim AlSaadi, Zaira Zaman Chowdhury, Mohamed Kheireddine Aroua, Farouq Sabri Mjalli, Kaharudin Dimyati, M. H. D. Nour Hindia, Fawzi M. Elfghi, Yehya M. Ahmed, Hazim F. Abbas	Bimetallic Mo-Fe Co-Catalyst-Based Nano-Carbon Impregnated on PAC for Optimum Super-Hydrophobicity.	Symmetry	2020	DBLP DOI BibTeX RDF
14	Junnan Liu, Xiaoyu Zhang	Parameter-Adaptive Compensation (PAC) for Processing Underwater Selective Absorption.	IEEE Signal Process. Lett.	2020	DBLP DOI BibTeX RDF
14	Bai Xue 0001, Miaomiao Zhang, Arvind Easwaran, Qin Li 0002	PAC Model Checking of Black-Box Continuous-Time Dynamical Systems.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2020	DBLP DOI BibTeX RDF
14	Luca Oneto, Michele Donini, Massimiliano Pontil, John Shawe-Taylor	Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy.	Neurocomputing	2020	DBLP DOI BibTeX RDF
14	Pascal Germain, Amaury Habrard, François Laviolette, Emilie Morvant	PAC-Bayes and domain adaptation.	Neurocomputing	2020	DBLP DOI BibTeX RDF
14	Chengyuan Zhang 0001, Lei Zhu 0005, Shichao Zhang 0001, Weiren Yu	PAC-GAN: An effective pose augmentation scheme for unsupervised cross-view person re-identification.	Neurocomputing	2020	DBLP DOI BibTeX RDF
14	John J. Cherian, Andrew G. Taube, Robert T. McGibbon, Panagiotis Angelikopoulos, Guy Blanc, Michael Snarski, Daniel D. Richman, John L. Klepeis, David E. Shaw	Efficient hyperparameter optimization by way of PAC-Bayes bound minimization.	CoRR	2020	DBLP BibTeX RDF
14	Malik Younsi, Alexandre Lacasse	A combinatorial conjecture from PAC-Bayesian machine learning.	CoRR	2020	DBLP BibTeX RDF
14	Felix Biggs, Benjamin Guedj	Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks.	CoRR	2020	DBLP BibTeX RDF
14	Xinjie Lan, Xin Guo 0007, Kenneth E. Barner	PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons.	CoRR	2020	DBLP BibTeX RDF
14	Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor	PAC-Bayes unleashed: generalisation bounds with unbounded losses.	CoRR	2020	DBLP BibTeX RDF
14	Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvári, John Shawe-Taylor	PAC-Bayes Analysis Beyond the Usual Bounds.	CoRR	2020	DBLP BibTeX RDF
14	Sangdon Park 0001, Osbert Bastani, Nikolai Matni, Insup Lee 0001	PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction.	CoRR	2020	DBLP BibTeX RDF
14	Mohammad Rowshan, Andreas Burg, Emanuele Viterbo	Polarization-adjusted Convolutional (PAC) Codes: Fano Decoding vs List Decoding.	CoRR	2020	DBLP BibTeX RDF
14	Badih Ghazi, Noah Golowich, Ravi Kumar 0001, Pasin Manurangsi	Sample-efficient proper PAC learning with approximate differential privacy.	CoRR	2020	DBLP BibTeX RDF
14	Melrose Roderick, Vaishnavh Nagarajan, J. Zico Kolter	Provably Safe PAC-MDP Exploration Using Analogies.	CoRR	2020	DBLP BibTeX RDF
14	Renjie Liao, Raquel Urtasun, Richard S. Zemel	A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks.	CoRR	2020	DBLP BibTeX RDF
14	Cuong Nguyen 0006, Thanh-Toan Do, Gustavo Carneiro 0001	PAC-Bayesian Meta-learning with Implicit Prior.	CoRR	2020	DBLP BibTeX RDF
14	Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu	Private Reinforcement Learning with PAC and Regret Guarantees.	CoRR	2020	DBLP BibTeX RDF
14	Zakaria Mhammedi, Benjamin Guedj, Robert C. Williamson	PAC-Bayesian Bound for the Conditional Value at Risk.	CoRR	2020	DBLP BibTeX RDF
14	Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz 0001, John Shawe-Taylor	A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings.	CoRR	2020	DBLP BibTeX RDF
14	Sangdon Park 0001, Shuo Li, Osbert Bastani, Insup Lee 0001	PAC Confidence Predictions for Deep Neural Network Classifiers.	CoRR	2020	DBLP BibTeX RDF
14	Arindam Banerjee 0001, Tiancong Chen, Yingxue Zhou	De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors.	CoRR	2020	DBLP BibTeX RDF
14	Thibaud Tonnellier, Warren J. Gross	On Systematic Polarization-Adjusted Convolutional (PAC) Codes.	CoRR	2020	DBLP BibTeX RDF
14	Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert	On the Sample Complexity of Adversarial Multi-Source PAC Learning.	CoRR	2020	DBLP BibTeX RDF
14	Yash Nair, Finale Doshi-Velez	PAC Bounds for Imitation and Model-based Batch Learning of Contextual Markov Decision Processes.	CoRR	2020	DBLP BibTeX RDF
14	Ravi Sundaram, Anil Vullikanti, Haifeng Xu, Fan Yao	PAC-Learning for Strategic Classification.	CoRR	2020	DBLP BibTeX RDF
14	Puja Sahu, Nandyala Hemachandra	Optimal Posteriors for Chi-squared Divergence based PAC-Bayesian Bounds and Comparison with KL-divergence based Optimal Posteriors and Cross-Validation Procedure.	CoRR	2020	DBLP BibTeX RDF
14	Mohsen Moradi	On the Metric and Computation of PAC Codes.	CoRR	2020	DBLP BibTeX RDF
14	Amir Mozammel	Hardware Implementation of Fano Decoder for PAC Codes.	CoRR	2020	DBLP BibTeX RDF
14	Mohammad Rowshan, Emanuele Viterbo	List Viterbi Decoding of PAC Codes.	CoRR	2020	DBLP BibTeX RDF
14	Ashkan Zehfroosh, Herbert G. Tanner	A Hybrid PAC Reinforcement Learning Algorithm.	CoRR	2020	DBLP BibTeX RDF
14	Manuel Haußmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir	Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes.	CoRR	2020	DBLP BibTeX RDF
14	Ilias Diakonikolas, Daniel M. Kane, Vasilis Kontonis, Nikos Zarifis	Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks.	CoRR	2020	DBLP BibTeX RDF