Search results for "PAC"

Hits ?▲	Authors	Title	Venue	Year	Link
14	Apoorva Sharma, Sushant Veer, Asher Hancock, Heng Yang, Marco Pavone, Anirudha Majumdar	PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction.	NeurIPS	2023	DBLP BibTeX RDF
14	Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain	Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory.	NeurIPS	2023	DBLP BibTeX RDF
14	Jiancong Xiao, Ruoyu Sun 0001, Zhi-Quan Luo	PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization.	NeurIPS	2023	DBLP BibTeX RDF
14	Sijia Zhou, Yunwen Lei, Ata Kabán	Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms.	NeurIPS	2023	DBLP BibTeX RDF
14	Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer	PAC Learning Linear Thresholds from Label Proportions.	NeurIPS	2023	DBLP BibTeX RDF
14	Saachi Mutreja, Jonathan Shafer	PAC Verification of Statistical Algorithms.	COLT	2023	DBLP BibTeX RDF
14	Kasper Green Larsen	Bagging is an Optimal PAC Learner.	COLT	2023	DBLP BibTeX RDF
14	Valentino Delle Rose, Alexander Kozachinskiy, Cristóbal Rojas, Tomasz Steifer	Find a witness or shatter: the landscape of computable PAC learning.	COLT	2023	DBLP BibTeX RDF
14	Kyoungseok Jang, Kwang-Sung Jun, Ilja Kuzborskij, Francesco Orabona	Tighter PAC-Bayes Bounds Through Coin-Betting.	COLT	2023	DBLP BibTeX RDF
14	Aymen Al Marjani, Andrea Tirinzoni, Emilie Kaufmann	Active Coverage for PAC Reinforcement Learning.	COLT	2023	DBLP BibTeX RDF
14	Balder ten Cate, Maurice Funk, Jean Christoph Jung, Carsten Lutz	SAT-based PAC Learning of Description Logic Concepts (Extended Abstract).	Description Logics	2023	DBLP BibTeX RDF
14	Hanshen Xiao, Srinivas Devadas	PAC Privacy: Automatic Privacy Measurement and Control of Data Processing.	CRYPTO (2)	2023	DBLP DOI BibTeX RDF
14	Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan	PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification.	ICLR	2023	DBLP BibTeX RDF
14	Wenhao Zhan, Masatoshi Uehara, Wen Sun 0002, Jason D. Lee	PAC Reinforcement Learning for Predictive State Representations.	ICLR	2023	DBLP BibTeX RDF
14	Adam Khakhar, Stephen Mell, Osbert Bastani	PAC Prediction Sets for Large Language Models of Code.	ICML	2023	DBLP BibTeX RDF
14	Idan Attias, Steve Hanneke	Adversarially Robust PAC Learnability of Real-Valued Functions.	ICML	2023	DBLP BibTeX RDF
14	Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola	Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances.	ICML	2023	DBLP BibTeX RDF
14	Masatoshi Uehara, Ayush Sekhari, Jason D. Lee, Nathan Kallus, Wen Sun 0002	Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings.	ICML	2023	DBLP BibTeX RDF
14	Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain	PAC-Bayesian Generalization Bounds for Adversarial Generative Models.	ICML	2023	DBLP BibTeX RDF
14	Advait U. Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai	PAC Generalization via Invariant Representations.	ICML	2023	DBLP BibTeX RDF
14	Otmane Sakhi, Pierre Alquier, Nicolas Chopin	PAC-Bayesian Offline Contextual Bandits With Guarantees.	ICML	2023	DBLP BibTeX RDF
14	Shiwei Zeng, Jie Shen 0005	Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise.	ICML	2023	DBLP BibTeX RDF
14	Balder ten Cate, Maurice Funk, Jean Christoph Jung, Carsten Lutz	SAT-Based PAC Learning of Description Logic Concepts.	IJCAI	2023	DBLP DOI BibTeX RDF
14	Michael Sucker, Peter Ochs	PAC-Bayesian Learning of Optimization Algorithms.	AISTATS	2023	DBLP BibTeX RDF
14	Felix Biggs, Benjamin Guedj	Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty.	AISTATS	2023	DBLP BibTeX RDF
14	Haotian Ju, Dongyue Li, Aneesh Sharma, Hongyang R. Zhang	Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion.	AISTATS	2023	DBLP BibTeX RDF
14	Mohsen Heidari, Wojciech Szpankowski	Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression.	AISTATS	2023	DBLP BibTeX RDF
14	Shiwei Zeng, Jie Shen 0005	Semi-Verified PAC Learning from the Crowd.	AISTATS	2023	DBLP BibTeX RDF
14	Jie Shen	PAC Learning of Halfspaces with Malicious Noise in Nearly Linear Time.	AISTATS	2023	DBLP BibTeX RDF
14	Cyrus Cousins	Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare.	AISTATS	2023	DBLP BibTeX RDF
14	Ionela Georgiana Mocanu, Vaishak Belle, Brendan Juba	Learnability with PAC Semantics for Multi-agent Beliefs.	AAMAS	2023	DBLP BibTeX RDF
14	Hamish Flynn	PAC-Bayesian Bandit Algorithms With Guarantees (PDF / PS)		2023	RDF
14	Si Liu, Risheek Garrepalli, Dan Hendrycks, Alan Fern, Debashis Mondal, Thomas G. Dietterich	PAC Guarantees and Effective Algorithms for Detecting Novel Categories.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
14	Nikola Konstantinov, Christoph H. Lampert	Fairness-Aware PAC Learning from Corrupted Data.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
14	Payal Chaudhari, Manik Lal Das	PAC: Privacy preserving proxy re-encryption for access control in public cloud.	Inf. Secur. J. A Glob. Perspect.	2022	DBLP DOI BibTeX RDF
14	Ashkan Zehfroosh, Herbert G. Tanner	A Hybrid PAC Reinforcement Learning Algorithm for Human-Robot Interaction.	Frontiers Robotics AI	2022	DBLP DOI BibTeX RDF
14	Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters 0001	PAC-Bayesian lifelong learning for multi-armed bandits.	Data Min. Knowl. Discov.	2022	DBLP DOI BibTeX RDF
14	Umaporn Padungkiatwattana, Saranya Maneeroj	PAC-MAN: Multi-Relation Network in Social Community for Personalized Hashtag Recommendation.	IEEE Access	2022	DBLP DOI BibTeX RDF
14	Luonan Chang, Xiao Pan, Zhenzhou Fu, Dong Li, Shengtong Liu, Guangjun Zhang	Robust Online Dynamic Detection Method for PAC Operational Status of High-Speed Trains Based on Key Point Positioning.	IEEE Trans. Instrum. Meas.	2022	DBLP DOI BibTeX RDF
14	Amir Mozammel	Hardware Implementation of Fano Decoder for Polarization-Adjusted Convolutional (PAC) Codes.	IEEE Trans. Circuits Syst. II Express Briefs	2022	DBLP DOI BibTeX RDF
14	Jie Zhang 0029, Guangjie Han, Jianfa Sha, Yujie Qian, Jun Liu 0006	AUV-Assisted Subsea Exploration Method in 6G Enabled Deep Ocean Based on a Cooperative Pac-Men Mechanism.	IEEE Trans. Intell. Transp. Syst.	2022	DBLP DOI BibTeX RDF
14	Marie Billaud Friess, Arthur Macherey, Anthony Nouy, Clémentine Prieur	A PAC algorithm in relative precision for bandit problem with costly sampling.	Math. Methods Oper. Res.	2022	DBLP DOI BibTeX RDF
14	Sadra Seyedmasoumian, Tolga M. Duman	Approximate Weight Distribution of Polarization-Adjusted Convolutional (PAC) Codes.	CoRR	2022	DBLP BibTeX RDF
14	Adam Polevoy, Marin Kobilarov, Joseph L. Moore	Probably Approximately Correct Nonlinear Model Predictive Control (PAC-NMPC).	CoRR	2022	DBLP DOI BibTeX RDF
14	Konstantinos Pitas, Julyan Arbel	Cold Posteriors through PAC-Bayes.	CoRR	2022	DBLP DOI BibTeX RDF
14	Otmane Sakhi, Nicolas Chopin, Pierre Alquier	PAC-Bayesian Offline Contextual Bandits With Guarantees.	CoRR	2022	DBLP DOI BibTeX RDF
14	Balder ten Cate, Maurice Funk, Jean Christoph Jung, Carsten Lutz	On the non-efficient PAC learnability of acyclic conjunctive queries.	CoRR	2022	DBLP DOI BibTeX RDF
14	Itai Gat, Yossi Adi, Alexander G. Schwing, Tamir Hazan	On the Importance of Gradient Norm in PAC-Bayesian Bounds.	CoRR	2022	DBLP DOI BibTeX RDF
14	Tianyu Liu, Jie Lu 0001, Zheng Yan 0001, Guangquan Zhang 0001	Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making.	CoRR	2022	DBLP DOI BibTeX RDF
14	Zhaoqi Li, Lillian J. Ratliff, Houssam Nassif, Kevin G. Jamieson, Lalit Jain	Instance-optimal PAC Algorithms for Contextual Bandits.	CoRR	2022	DBLP DOI BibTeX RDF
14	Advait Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai	PAC Generalization via Invariant Representations.	CoRR	2022	DBLP DOI BibTeX RDF
14	Sanae Lotfi, Marc Finzi, Sanyam Kapoor, Andres Potapczynski, Micah Goldblum, Andrew Gordon Wilson	PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization.	CoRR	2022	DBLP DOI BibTeX RDF
14	Maxime Haddouche, Benjamin Guedj	Online PAC-Bayes Learning.	CoRR	2022	DBLP DOI BibTeX RDF
14	Daniel Liang	Clifford Circuits can be Properly PAC Learned if and only if RP=NP.	CoRR	2022	DBLP DOI BibTeX RDF
14	Xinyi Gu, Mohammad Rowshan, Jinhong Yuan	Selective Reverse PAC Coding for Sphere Decoding.	CoRR	2022	DBLP DOI BibTeX RDF
14	Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters 0001	PAC-Bayesian Lifelong Learning For Multi-Armed Bandits.	CoRR	2022	DBLP DOI BibTeX RDF
14	Nan Ding 0002, Xi Chen 0071, Tomer Levinboim, Beer Changpinyo, Radu Soricut	PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks.	CoRR	2022	DBLP DOI BibTeX RDF
14	Mohsen Moradi, Amir Mozammel	A Tree Pruning Technique for Decoding Complexity Reduction of Polar Codes and PAC Codes.	CoRR	2022	DBLP DOI BibTeX RDF
14	Alessandro Ronca, Gabriel Paludo Licks, Giuseppe De Giacomo	Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes.	CoRR	2022	DBLP DOI BibTeX RDF
14	Hanshen Xiao, Srinivas Devadas	PAC Security: Automatic Privacy Measurement and Control of Data Processing.	CoRR	2022	DBLP DOI BibTeX RDF
14	Laxman Dhulipala, Guy E. Blelloch, Yan Gu 0001, Yihan Sun 0001	PaC-trees: Supporting Parallel and Compressed Purely-Functional Collections.	CoRR	2022	DBLP DOI BibTeX RDF
14	Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann	Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs.	CoRR	2022	DBLP DOI BibTeX RDF
14	Wei Huang 0034, Chunrui Liu, Yilan Chen 0002, Tianyu Liu, Richard Yi Da Xu	Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning.	CoRR	2022	DBLP BibTeX RDF
14	Badr-Eddine Chérief-Abdellatif, Yuyang Shi 0002, Arnaud Doucet, Benjamin Guedj	On PAC-Bayesian reconstruction guarantees for VAEs.	CoRR	2022	DBLP BibTeX RDF
14	Maxime Haddouche, Benjamin Guedj	PAC-Bayes with Unbounded Losses through Supermartingales.	CoRR	2022	DBLP DOI BibTeX RDF
14	Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky	PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models.	CoRR	2022	DBLP DOI BibTeX RDF
14	Jinyan Su, Jinhui Xu 0001, Di Wang 0015	On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data.	CoRR	2022	DBLP DOI BibTeX RDF
14	Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters 0001	PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison.	CoRR	2022	DBLP DOI BibTeX RDF
14	Shuo Li, Sangdon Park 0001, Xiayan Ji, Insup Lee 0001, Osbert Bastani	Towards PAC Multi-Object Detection and Tracking.	CoRR	2022	DBLP DOI BibTeX RDF
14	Fan Chen 0006, Song Mei, Yu Bai 0017	Unified Algorithms for RL with Decision-Estimation Coefficients: No-Regret, PAC, and Reward-Free Learning.	CoRR	2022	DBLP DOI BibTeX RDF
14	Arash Behboodi, Gabriele Cesa, Taco Cohen	A PAC-Bayesian Generalization Bound for Equivariant Networks.	CoRR	2022	DBLP DOI BibTeX RDF
14	Felix Biggs	A Note on the Efficient Evaluation of PAC-Bayes Bounds.	CoRR	2022	DBLP DOI BibTeX RDF
14	Jacob Zietek, Nicholas Wade, Cole Roberts, Aref Malek, Manish Pylla, Will Xu, Sagar Patil	Pac-Man Pete: An extensible framework for building AI in VEX Robotics.	CoRR	2022	DBLP DOI BibTeX RDF
14	Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola	Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances.	CoRR	2022	DBLP DOI BibTeX RDF
14	Michael Sucker, Peter Ochs	PAC-Bayesian Learning of Optimization Algorithms.	CoRR	2022	DBLP DOI BibTeX RDF
14	Vinod Raman, Unique Subedi, Ambuj Tewari	Probabilistically Robust PAC Learning.	CoRR	2022	DBLP DOI BibTeX RDF
14	Mohsen Moradi	Application of Guessing to Sequential Decoding of Polarization-Adjusted Convolutional (PAC) Codes.	CoRR	2022	DBLP DOI BibTeX RDF
14	Chaitanya Agarwal, Shibashis Guha, Jan Kretínský, M. Pazhamalai	PAC Statistical Model Checking of Mean Payoff in Discrete- and Continuous-Time MDP.	CoRR	2022	DBLP DOI BibTeX RDF
14	Masatoshi Uehara, Ayush Sekhari, Jason D. Lee, Nathan Kallus, Wen Sun 0002	Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings.	CoRR	2022	DBLP DOI BibTeX RDF
14	Sanghoon Myung, In Huh, Wonik Jang, Jae Myung Choe, Jisu Ryu, Daesin Kim, Kee-Eung Kim, Changwook Jeong	PAC-Net: A Model Pruning Approach to Inductive Transfer Learning.	CoRR	2022	DBLP DOI BibTeX RDF
14	Jonas Rothfuss, Martin Josifoski, Vincent Fortuin, Andreas Krause 0001	PAC-Bayesian Meta-Learning: From Theory to Practice.	CoRR	2022	DBLP DOI BibTeX RDF
14	Hanhan Zhou, Tian Lan, Vaneet Aggarwal	PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning.	CoRR	2022	DBLP DOI BibTeX RDF
14	Sangdon Park 0001, Edgar Dobriban, Insup Lee 0001, Osbert Bastani	PAC Prediction Sets for Meta-Learning.	CoRR	2022	DBLP DOI BibTeX RDF
14	Keitaro Sakamoto, Issei Sato	Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective.	CoRR	2022	DBLP DOI BibTeX RDF
14	Arezou Rezazadeh 0001	A General framework for PAC-Bayes Bounds for Meta-Learning.	CoRR	2022	DBLP DOI BibTeX RDF
14	Kasper Green Larsen	Bagging is an Optimal PAC Learner.	CoRR	2022	DBLP DOI BibTeX RDF
14	Idan Attias, Steve Hanneke, Yishay Mansour	A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability.	CoRR	2022	DBLP BibTeX RDF
14	Wenhao Zhan, Masatoshi Uehara, Wen Sun 0002, Jason D. Lee	PAC Reinforcement Learning for Predictive State Representations.	CoRR	2022	DBLP DOI BibTeX RDF
14	Han Shao, Omar Montasser, Avrim Blum	A Theory of PAC Learnability under Transformation Invariances.	CoRR	2022	DBLP BibTeX RDF
14	Yi-Shan Wu 0003, Yevgeny Seldin	Split-kl and PAC-Bayes-split-kl Inequalities.	CoRR	2022	DBLP DOI BibTeX RDF
14	Ron Amit, Baruch Epstein, Shay Moran, Ron Meir	Integral Probability Metrics PAC-Bayes Bounds.	CoRR	2022	DBLP DOI BibTeX RDF
14	Zifan Wang, Nan Ding 0002, Tomer Levinboim, Xi Chen 0071, Radu Soricut	Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization.	CoRR	2022	DBLP DOI BibTeX RDF
14	Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang	PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners.	CoRR	2022	DBLP DOI BibTeX RDF
14	Andrea Tirinzoni, Aymen Al Marjani, Emilie Kaufmann	Optimistic PAC Reinforcement Learning: the Instance-Dependent View.	CoRR	2022	DBLP DOI BibTeX RDF
14	Felix Biggs, Benjamin Guedj	Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty.	CoRR	2022	DBLP DOI BibTeX RDF
14	Jonathan Warrell, Mark Gerstein	Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives.	CoRR	2022	DBLP DOI BibTeX RDF
14	Eugenio Clerico, George Deligiannidis, Benjamin Guedj, Arnaud Doucet	A PAC-Bayes bound for deterministic classifiers.	CoRR	2022	DBLP DOI BibTeX RDF
14	Saachi Mutreja, Jonathan Shafer	PAC Verification of Statistical Algorithms.	CoRR	2022	DBLP DOI BibTeX RDF
14	Alkis Kalavasis, Grigoris Velegkas, Amin Karbasi	Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes.	CoRR	2022	DBLP DOI BibTeX RDF
14	Aravind Gollakota, Daniel Liang	On the Hardness of PAC-learning Stabilizer States with Noise.	Quantum	2022	DBLP DOI BibTeX RDF