Search results for "pessimism"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
78	Gilles Chabert, Luc Jaulin	Computing the Pessimism of Inclusion Functions.	Reliab. Comput.	2007	DBLP DOI BibTeX RDF
78	Jindrich Zejda, Paul Frain	General framework for removal of clock network pessimism.	ICCAD	2002	DBLP DOI BibTeX RDF	clock network reconvergence, voltage and temperature delay variation, process, static timing analysis, deep sub-micron
64	Debasish Das, Kip Killpack, Chandramouli V. Kashyap, Abhijit Jas, Hai Zhou 0001	Pessimism reduction in coupling-aware static timing analysis using timing and logic filtering.	ASP-DAC	2008	DBLP DOI BibTeX RDF
64	Alexey Glebov, Sergey Gavrilov, R. Soloviev, Vladimir Zolotov, Murat R. Becer, Chanhee Oh, Rajendran Panda	Delay noise pessimism reduction by logic correlations.	ICCAD	2004	DBLP DOI BibTeX RDF
50	Genichi Tanaka, Koichi Nakashiro	Crosstalk pessimism reduction with path base analysis.	ISQED	2009	DBLP DOI BibTeX RDF
50	José Luis Díaz, José María López, Manuel García Vazquez, Antonio M. Campos, Kanghee Kim, Lucia Lo Bello	Pessimism in the Stochastic Analysis of Real-Time Systems: Concept and Applications.	RTSS	2004	DBLP DOI BibTeX RDF
50	Gautam H. Thaker, Patrick J. Lardieri, Donald K. Krecker, Michael Price 0003	Empirical Quantification of Pessimism in State-of-the-Art Scheduling Theory Techniques for Periodic and Sporadic DRE Tasks.	IEEE Real-Time and Embedded Technology and Applications Symposium	2004	DBLP DOI BibTeX RDF	scheduability analysis, distributed task scheduling, end-to-end task scheduling, real-time scheduling, periodic tasks
42	Ruiming Chen, Lizheng Zhang, Vladimir Zolotov, Chandu Visweswariah, Jinjun Xiong	Static timing: Back to our roots.	ASP-DAC	2008	DBLP DOI BibTeX RDF
36	Emre Salman, Eby G. Friedman, Ali Dasdan, Feroze Taraporevala, Kayhan Küçükçakar	Pessimism Reduction In Static Timing Analysis Using Interdependent Setup and Hold Times.	ISQED	2006	DBLP DOI BibTeX RDF
36	Konstantinos Bletsas, Neil C. Audsley	Extended Analysis with Reduced Pessimism for Systems with Limited Parallelism.	RTCSA	2005	DBLP DOI BibTeX RDF
36	Iain Bate, Alan Burns 0001	Investigation of the pessimism in distributed systems timing analysis.	ECRTS	1998	DBLP DOI BibTeX RDF
31	Khaled S. Refaat, Pierre-Emmanuel Hladik	Efficient Stochastic Analysis of Real-Time Systems via Random Sampling.	ECRTS	2010	DBLP DOI BibTeX RDF	pessimism, real time systems, efficient, random sampling, stochastic analysis
31	Lionel Bening	A Two-State Methodology for RTL Logic Simulation.	DAC	1999	DBLP DOI BibTeX RDF	2-state, X-state, pessimism, simulation, optimism, random, initialization, RTL
31	Alain Sandoz, André Schiper	Weak Consistency and Pessimistic Replica Control.	WDAG	1990	DBLP DOI BibTeX RDF	pessimism, distributed systems, replication, serializability, weak consistency
28	Selmer Bringsjord	Ethical robots: the future can heed us.	AI Soc.	2008	DBLP DOI BibTeX RDF
28	Jaskirat Singh, Zhi-Quan Luo, Sachin S. Sapatnekar	A Geometric Programming-Based Worst Case Gate Sizing Method Incorporating Spatial Correlation.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2008	DBLP DOI BibTeX RDF
28	Soheil Samii, Sergiu Rafiliu, Petru Eles, Zebo Peng	A Simulation Methodology for Worst-Case Response Time Estimation of Distributed Real-Time Systems.	DATE	2008	DBLP DOI BibTeX RDF
28	Ruiming Li, An-Jui Shey, Michel Laudes	Incorporating logic exclusivity (LE) constraints in noise analysis using gain guided backtracking method.	ICCAD	2008	DBLP DOI BibTeX RDF
28	Chunjie Duan, Sunil P. Khatri	Computing during supply voltage switching in DVS enabled real-time processors.	ISCAS	2006	DBLP DOI BibTeX RDF
28	Ken Tseng, Mark Horowitz	False coupling exploration in timing analysis.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2005	DBLP DOI BibTeX RDF
28	Jukka Mäki-Turja, Mikael Nolin	Fast and Tight Response-Times for Tasks with Offsets.	ECRTS	2005	DBLP DOI BibTeX RDF
28	N. V. Arvind, K. A. Rajagopal, H. S. Ajith, Das Suparna	Path Based Approach for Crosstalk Delay Analysis.	VLSI Design	2004	DBLP DOI BibTeX RDF
22		The Virtues of Pessimism in Inverse Reinforcement Learning.	CoRR	2024	DBLP DOI BibTeX RDF
22	Sven Helmer, Peter T. Wood, Manuel Stuefer	Optimism and Pessimism in Database Query Optimisation.	ICSC	2024	DBLP DOI BibTeX RDF
22	Lequn Wang, Akshay Krishnamurthy, Alex Slivkins	Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits.	AISTATS	2024	DBLP BibTeX RDF
22	Yuling Yan, Gen Li 0005, Yuxin Chen 0002, Jianqing Fan	The Efficacy of Pessimism in Asynchronous Q-Learning.	IEEE Trans. Inf. Theory	2023	DBLP DOI BibTeX RDF
22	Jose H. Blanchet, Miao Lu, Tong Zhang 0001, Han Zhong	Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage.	CoRR	2023	DBLP DOI BibTeX RDF
22	Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou 0001, Bo Li 0064, Peng Cui 0001	Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications.	CoRR	2023	DBLP DOI BibTeX RDF
22	Zihao Li, Zhuoran Yang, Mengdi Wang	Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism.	CoRR	2023	DBLP DOI BibTeX RDF
22	Lequn Wang, Akshay Krishnamurthy, Aleksandrs Slivkins	Oracle-Efficient Pessimism: Offline Policy Optimization in Contextual Bandits.	CoRR	2023	DBLP DOI BibTeX RDF
22	Emerson Rodrigues Sabino, Leandro Chaves Rêgo	Optimism pessimism stability in the graph model for conflict resolution for multilateral conflicts.	Eur. J. Oper. Res.	2023	DBLP DOI BibTeX RDF
22	Ran Li, Bin Fu, Guoqi Xie, Fei Peng, Renfa Li	Efficient holistic timing analysis with low pessimism for rate-constrained traffic in TTEthernet.	J. Syst. Archit.	2023	DBLP DOI BibTeX RDF
22	Kushal Anjaria	Z-Delphi: A Z-Number-Based Delphi Technique for Technological Forecasting to Reduce Optimism/Pessimism Bias in Experts' Convergent Opinions.	Int. J. Comput. Intell. Syst.	2023	DBLP DOI BibTeX RDF
22	Edoardo Cetin, Oya Çeliktutan	Learning Pessimism for Reinforcement Learning.	AAAI	2023	DBLP DOI BibTeX RDF
22	Mengshi Gong, Jie Ma, Wenxin Yu	An Efficient and Robust Algorithm for Common Path Pessimism Removal In Static Timing Analysis.	ACM Great Lakes Symposium on VLSI	2023	DBLP DOI BibTeX RDF
22	Jose H. Blanchet, Miao Lu, Tong Zhang, Han Zhong	Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage.	NeurIPS	2023	DBLP BibTeX RDF
22	Miao Lu, Yifei Min, Zhaoran Wang 0001, Zhuoran Yang	Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes.	ICLR	2023	DBLP BibTeX RDF
22	Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li	Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach.	AISTATS	2023	DBLP BibTeX RDF
22	Guillermo Blanco, Anália Lourenço	Optimism and pessimism analysis using deep learning on COVID-19 related twitter conversations.	Inf. Process. Manag.	2022	DBLP DOI BibTeX RDF
22	Zizheng Guo, Mingwei Yang 0002, Tsung-Wei Huang, Yibo Lin	A Provably Good and Practically Efficient Algorithm for Common Path Pessimism Removal in Large Designs.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2022	DBLP DOI BibTeX RDF
22	Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell 0001	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism.	IEEE Trans. Inf. Theory	2022	DBLP DOI BibTeX RDF
22	Jiawei Huang, Li Zhao 0007, Tao Qin 0001, Wei Chen 0034, Nan Jiang 0008, Tie-Yan Liu	Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret.	CoRR	2022	DBLP DOI BibTeX RDF
22	Ming Yin 0003, Yaqi Duan, Mengdi Wang, Yu-Xiang Wang 0003	Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism.	CoRR	2022	DBLP DOI BibTeX RDF
22	Yuling Yan, Gen Li 0005, Yuxin Chen 0002, Jianqing Fan	The Efficacy of Pessimism in Asynchronous Q-Learning.	CoRR	2022	DBLP DOI BibTeX RDF
22	Boxiang Lyu, Zhaoran Wang 0001, Mladen Kolar, Zhuoran Yang	Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning.	CoRR	2022	DBLP DOI BibTeX RDF
22	Yunzhe Zhou, Zhengling Qi, Chengchun Shi, Lexin Li	Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach.	CoRR	2022	DBLP DOI BibTeX RDF
22	Miao Lu, Yifei Min, Zhaoran Wang 0001, Zhuoran Yang	Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes.	CoRR	2022	DBLP DOI BibTeX RDF
22	Kaiyang Guo, Yunfeng Shao 0001, Yanhui Geng	Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief.	CoRR	2022	DBLP DOI BibTeX RDF
22	Gene Li, Cong Ma, Nathan Srebro	Pessimism for Offline Linear Contextual Bandits using p Confidence Sets.	CoRR	2022	DBLP DOI BibTeX RDF
22	Ying Jin, Zhimei Ren, Zhuoran Yang, Zhaoran Wang 0001	Policy learning "without" overlap: Pessimism and generalized empirical Bernstein's inequality.	CoRR	2022	DBLP DOI BibTeX RDF
22	Georgy Antonov, Christopher Gagne, Eran Eldar, Peter Dayan	Optimism and pessimism in optimised replay.	PLoS Comput. Biol.	2022	DBLP DOI BibTeX RDF
22	Pierfrancesco Guarino, Gabriel Ziegler	Optimism and pessimism in strategic interactions under ignorance.	Games Econ. Behav.	2022	DBLP DOI BibTeX RDF
22	Vidya A. Chhabria, Ben Keller, Yanqing Zhang 0002, Sandeep Vollala, Sreedhar Pratty, Haoxing Ren, Brucek Khailany	XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning.	MLCAD	2022	DBLP DOI BibTeX RDF
22	Jiawei Huang, Li Zhao 0007, Tao Qin 0001, Wei Chen 0034, Nan Jiang 0008, Tie-Yan Liu	Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret.	NeurIPS	2022	DBLP BibTeX RDF
22	Kaiyang Guo, Yunfeng Shao 0001, Yanhui Geng	Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief.	NeurIPS	2022	DBLP BibTeX RDF
22	Gene Li, Cong Ma, Nati Srebro	Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets.	NeurIPS	2022	DBLP BibTeX RDF
22	Thanh Nguyen-Tang, Sunil Gupta 0001, A. Tuan Nguyen, Svetha Venkatesh	Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization.	ICLR	2022	DBLP BibTeX RDF
22	Ming Yin 0003, Yaqi Duan, Mengdi Wang, Yu-Xiang Wang 0003	Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism.	ICLR	2022	DBLP BibTeX RDF
22	Boxiang Lyu, Zhaoran Wang 0001, Mladen Kolar, Zhuoran Yang	Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning.	ICML	2022	DBLP BibTeX RDF
22	Sebastian Curi, Ilija Bogunovic, Andreas Krause 0001	Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning.	CoRR	2021	DBLP BibTeX RDF
22	Edoardo Cetin, Oya Çeliktutan	Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning.	CoRR	2021	DBLP BibTeX RDF
22	Thanh Nguyen-Tang, Sunil Gupta 0001, A. Tuan Nguyen, Svetha Venkatesh	Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization.	CoRR	2021	DBLP BibTeX RDF
22	Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell 0001	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism.	CoRR	2021	DBLP BibTeX RDF
22	Tengyang Xie, Ching-An Cheng, Nan Jiang 0008, Paul Mineiro, Alekh Agarwal	Bellman-consistent Pessimism for Offline Reinforcement Learning.	CoRR	2021	DBLP BibTeX RDF
22	Ming Yin 0003, Yu-Xiang Wang 0003	Towards Instance-Optimal Offline Reinforcement Learning with Pessimism.	CoRR	2021	DBLP BibTeX RDF
22	Nathan E. Wheeler, William Cunningham	Deciding to be wrong: Optimism and pessimism in motivated information search.	CogSci	2021	DBLP BibTeX RDF
22	Zizheng Guo, Tsung-Wei Huang, Yibo Lin	HeteroCPPR: Accelerating Common Path Pessimism Removal with Heterogeneous CPU-GPU Parallelism.	ICCAD	2021	DBLP DOI BibTeX RDF
22	Ted Moskovitz, Jack Parker-Holder, Aldo Pacchiano, Michael Arbel, Michael I. Jordan	Tactical Optimism and Pessimism for Deep Reinforcement Learning.	NeurIPS	2021	DBLP BibTeX RDF
22	Tengyang Xie, Ching-An Cheng, Nan Jiang 0008, Paul Mineiro, Alekh Agarwal	Bellman-consistent Pessimism for Offline Reinforcement Learning.	NeurIPS	2021	DBLP BibTeX RDF
22	Paria Rashidinejad, Banghua Zhu, Cong Ma, Jiantao Jiao, Stuart Russell 0001	Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism.	NeurIPS	2021	DBLP BibTeX RDF
22	Ming Yin 0003, Yu-Xiang Wang 0003	Towards Instance-Optimal Offline Reinforcement Learning with Pessimism.	NeurIPS	2021	DBLP BibTeX RDF
22	Minshuo Chen, Yan Li 0074, Ethan Wang, Zhuoran Yang, Zhaoran Wang 0001, Tuo Zhao	Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL.	NeurIPS	2021	DBLP BibTeX RDF
22	Ali Alshahrani, Meysam Ghaffari, Kobra Amirizirtol, Xiuwen Liu	Optimism/Pessimism Prediction of Twitter Messages and Users Using BERT with Soft Label Assignment.	IJCNN	2021	DBLP DOI BibTeX RDF
22	Jacob Buckman, Carles Gelada, Marc G. Bellemare	The Importance of Pessimism in Fixed-Dataset Policy Optimization.	ICLR	2021	DBLP BibTeX RDF
22	Sebastian Curi, Ilija Bogunovic, Andreas Krause 0001	Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning.	ICML	2021	DBLP BibTeX RDF
22	Ying Jin, Zhuoran Yang, Zhaoran Wang 0001	Is Pessimism Provably Efficient for Offline RL?	ICML	2021	DBLP BibTeX RDF
22	Zizheng Guo, Tsung-Wei Huang, Yibo Lin	A Provably Good and Practically Efficient Algorithm for Common Path Pessimism Removal in Large Designs.	DAC	2021	DBLP DOI BibTeX RDF
22	Ying Jin, Zhuoran Yang, Zhaoran Wang 0001	Is Pessimism Provably Efficient for Offline RL?	CoRR	2020	DBLP BibTeX RDF
22	Kwang-Sung Jun, Chicheng Zhang	Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality.	CoRR	2020	DBLP BibTeX RDF
22	Michael K. Cohen, Marcus Hutter	Pessimism About Unknown Unknowns Inspires Conservatism.	CoRR	2020	DBLP BibTeX RDF
22	Jacob Buckman, Carles Gelada, Marc G. Bellemare	The Importance of Pessimism in Fixed-Dataset Policy Optimization.	CoRR	2020	DBLP BibTeX RDF
22	Justin Dzuche, Christian Deffo Tassak, Jules Sadefo Kamdem, Louis Aimé Fono	The First Moments and Semi-Moments of Fuzzy Variables Based on an Optimism-Pessimism Measure with Application for Portfolio Selection.	New Math. Nat. Comput.	2020	DBLP DOI BibTeX RDF
22	Angel F. Garcia Contreras, Martine Ceberio, Vladik Kreinovich	Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread.	Decision Making under Constraints	2020	DBLP DOI BibTeX RDF
22	Kwang-Sung Jun, Chicheng Zhang	Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality.	NeurIPS	2020	DBLP BibTeX RDF
22	Michael K. Cohen, Marcus Hutter	Pessimism About Unknown Unknowns Inspires Conservatism.	COLT	2020	DBLP BibTeX RDF
22	Ali Alshahrani, Meysam Ghaffari, Kobra Amirizirtol, Xiuwen Liu	Identifying Optimism and Pessimism in Twitter Messages Using XLNet and Deep Consensus.	IJCNN	2020	DBLP DOI BibTeX RDF
22	Simon Vydra, Bram Klievink	Techno-optimism and policy-pessimism in the public sector big data debate.	Gov. Inf. Q.	2019	DBLP DOI BibTeX RDF
22	Youcheng Sun, Marco Di Natale	Pessimism in multicore global schedulability analysis.	J. Syst. Archit.	2019	DBLP DOI BibTeX RDF
22	Lena Clever, Lena Frischlich, Heike Trautmann, Christian Grimme	Automated Detection of Nostalgic Text in the Context of Societal Pessimism.	MISDOOM	2019	DBLP DOI BibTeX RDF
22	Tran Anh Tuan, Vladik Kreinovich, Thach Ngoc Nguyen	Decision Making Under Interval Uncertainty: Beyond Hurwicz Pessimism-Optimism Criterion.	ECONVN	2019	DBLP DOI BibTeX RDF
22	Erick Carvajal Barboza, Nishchal Shukla, Yiran Chen 0001, Jiang Hu	Machine Learning-Based Pre-Routing Timing Prediction with Reduced Pessimism.	DAC	2019	DBLP DOI BibTeX RDF
22	Youcheng Sun, Marco Di Natale	Assessing the pessimism of current multicore global fixed-priority schedulability analysis.	SAC	2018	DBLP DOI BibTeX RDF
22	Cornelia Caragea, Liviu P. Dinu, Bogdan Dumitru	Exploring Optimism and Pessimism in Twitter Using Deep Learning.	EMNLP	2018	DBLP DOI BibTeX RDF
22	Dalin Guo, Angela J. Yu	Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task.	NeurIPS	2018	DBLP BibTeX RDF
22	Fulin Peng, Changhao Yan, Chunyang Feng, Jianquan Zheng, Sheng-Guo Wang, Dian Zhou, Xuan Zeng 0001	A general graph based pessimism reduction framework for design optimization of timing closure.	DAC	2018	DBLP DOI BibTeX RDF
22	Raphaël Giraud, Lionel Thomas	Ambiguity, optimism, and pessimism in adverse selection models.	J. Econ. Theory	2017	DBLP DOI BibTeX RDF
22	Wei Zhou 0002, Zeshui Xu	Extreme intuitionistic fuzzy weighted aggregation operators and their applications in optimism and pessimism decision-making processes.	J. Intell. Fuzzy Syst.	2017	DBLP DOI BibTeX RDF
22	Steffen Bondorf	Better bounds by worse assumptions - Improving network calculus accuracy by adding pessimism to the network model.	ICC	2017	DBLP DOI BibTeX RDF
22	Aakash Soni 0001, Xiaoting Li 0002, Jean-Luc Scharbarg, Christian Fraboul	Work in progress paper: pessimism analysis of network calculus approach on AFDX networks.	SIES	2017	DBLP DOI BibTeX RDF
22	Matthew P. McAllister	Optimism and pessimism about the democratic potential of media.	New Media Soc.	2016	DBLP DOI BibTeX RDF