Search results for "COLT"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
172	Karl Schnaitter, Serge Abiteboul, Tova Milo, Neoklis Polyzotis	COLT: continuous on-line tuning.	SIGMOD Conference	2006	DBLP DOI BibTeX RDF	COLT, selection, index, on-line, demonstration, self-tuning
92	Praveen Bhojwani, Rabi N. Mahapatra	A Robust Protocol for Concurrent On-Line Test (COLT) of NoC-based Systems-on-a-Chip.	DAC	2007	DBLP DOI BibTeX RDF
89	Karl Schnaitter, Serge Abiteboul, Tova Milo, Neoklis Polyzotis	On-Line Index Selection for Shifting Workloads.	ICDE Workshops	2007	DBLP DOI BibTeX RDF
66	Praveen Bhojwani, Rabi N. Mahapatra	Robust Concurrent Online Testing of Network-on-Chip-Based SoCs.	IEEE Trans. Very Large Scale Integr. Syst.	2008	DBLP DOI BibTeX RDF
66	Jason D. Lee, Nikhil Gupta 0004, Praveen Bhojwani, Rabi N. Mahapatra	An On-Demand Test Triggering Mechanism for NoC-Based Safety-Critical Systems.	ISQED	2008	DBLP DOI BibTeX RDF	test triggering, network on chip, on-line test
66	Salvatore Orlando 0001, Raffaele Perego 0001	An MPI-based Run-Time Support to Coordinate HPF Tasks.	PVM/MPI	1998	DBLP DOI BibTeX RDF
63	Satyen Kale, Ohad Shamir	Preface: Conference on Learning Theory (COLT), 2017.	COLT	2017	DBLP BibTeX RDF
60	Michael Collins 0001	Tutorial: Machine Learning Methods in Natural Language Processing.	COLT	2003	DBLP DOI BibTeX RDF
44	Salvatore Orlando 0001, Raffaele Perego 0001	A Coordination Layer for Exploiting Task Parallelism with HPF.	LCR	1998	DBLP DOI BibTeX RDF
38	Timothy R. N. Holder, Colt Nichols, Emily Summers, David L. Roberts 0001, Alper Bozkurt	Towards a Multimodal Synchronized System for Quantifying Psychophysiological States in Canine Assisted Interactions.	ACI	2023	DBLP DOI BibTeX RDF
38	Yifan Wu, Colt Nichols, Marc Foster, Devon Martin, James Dieffenderfer, Masataka Enomoto, B. Duncan X. Lascelles, Jane Russenberger, Gerald Brenninkmeyer, Alper Bozkurt, David L. Roberts 0001	An Exploration of Machine Learning Methods for Gait Analysis of Potential Guide Dogs.	ACI	2023	DBLP DOI BibTeX RDF
38	Andrew Colt Deckert, Erich Kummerfeld	Investigating the effect of binning on causal discovery.	CoRR	2022	DBLP BibTeX RDF
38	Devon Martin, Timothy Holder, Colt Nichols, Jeremy Park, David L. Roberts 0001, Alper Bozkurt	Comparing Accelerometry and Depth Sensing-Based Computer Vision for Canine Tail Wagging Interpretation.	ACI	2022	DBLP DOI BibTeX RDF
38	Robert-George Colt, Csongor-Huba Várady, Riccardo Volpi, Luigi Malagò	Automatic Feature Extraction for Heartbeat Anomaly Detection.	CoRR	2021	DBLP BibTeX RDF
38	Andrew Colt Deckert, Erich Kummerfeld	Investigating the effect of binning on causal discovery.	BIBM	2019	DBLP DOI BibTeX RDF
38	Lok K. Yan, Benjamin Price, Michael Zhivich, Brian Caswell, Christopher Eagle, Michael Frantzen, Holt Sorenson, Michael Thompson, Timothy Vidas, Jason Wright, Vernon Rivet, Samuel Colt VanWinkle, Clark Wood	BP: DECREE: A Platform for Repeatable and Reproducible Security Experiments.	SecDev	2018	DBLP DOI BibTeX RDF
38	James Braman, Alfreda Dudley, Kidd Colt, Giovanni Vincenti, Yuanqiong Wang	Gaining Insight into the Application of Second Life in a Computing Course: Students' Perspectives.	HCI (18)	2011	DBLP DOI BibTeX RDF
38	Colt R. Correa, Selim Saad Awad	Embedded controller software and algorithm development tool.	IEEE Trans. Instrum. Meas.	2003	DBLP DOI BibTeX RDF
38	Colt G. Courtright, Raymond S. Crawford, David M. Klubert	Criteria for Developing Clinical Decision Support Systems.	CBMS	2001	DBLP DOI BibTeX RDF
38	Ramesh Subramanian, Stephen Colt	Environmental information systems modeling: current practices and emerging approaches.	IRMA Conference	2000	DBLP BibTeX RDF
37	Gergely Neu, Lorenzo Rosasco (eds.)	The Thirty Sixth Annual Conference on Learning Theory, COLT 2023, 12-15 July 2023, Bangalore, India.	COLT	2023	DBLP BibTeX RDF
37	Yiyun He, Roman Vershynin, Yizhe Zhu	Algorithmically Effective Differentially Private Synthetic Data.	COLT	2023	DBLP BibTeX RDF
37	Patrik R. Gerber, Yanjun Han, Yury Polyanskiy	Minimax optimal testing by classification.	COLT	2023	DBLP BibTeX RDF
37	Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh	Online Reinforcement Learning in Stochastic Continuous-Time Systems.	COLT	2023	DBLP BibTeX RDF
37	Dean Foster, Dylan J. Foster, Noah Golowich, Alexander Rakhlin	On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring.	COLT	2023	DBLP BibTeX RDF
37	Julia Gaudio, Nirmit Joshi	Community Detection in the Hypergraph SBM: Optimal Recovery Given the Similarity Matrix.	COLT	2023	DBLP BibTeX RDF
37	Manfred K. Warmuth, Ehsan Amid	Open Problem: Learning sparse linear concepts by priming the features.	COLT	2023	DBLP BibTeX RDF
37	Doudou Zhou, Hao Chen	A new ranking scheme for modern data and its application to two-sample hypothesis testing.	COLT	2023	DBLP BibTeX RDF
37	Zhiyuan Fan, Jian Li	Efficient Algorithms for Sparse Moment Problems without Separation.	COLT	2023	DBLP BibTeX RDF
37	Jaouad Mourtada, Tomas Vaskevicius, Nikita Zhivotovskiy	Local Risk Bounds for Statistical Aggregation.	COLT	2023	DBLP BibTeX RDF
37	Yunwen Lei	Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems.	COLT	2023	DBLP BibTeX RDF
37	Ziwei Guan, Yi Zhou 0017, Yingbin Liang	Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback.	COLT	2023	DBLP BibTeX RDF
37		Preface.	COLT	2023	DBLP BibTeX RDF
37	Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara	Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness.	COLT	2023	DBLP BibTeX RDF
37	Alekh Agarwal, Yuda Song 0001, Wen Sun 0002, Kaiwen Wang, Mengdi Wang, Xuezhou Zhang	Provable Benefits of Representational Transfer in Reinforcement Learning.	COLT	2023	DBLP BibTeX RDF
37	Yuanyu Wan, Lijun Zhang 0005, Mingli Song	Improved Dynamic Regret for Online Frank-Wolfe.	COLT	2023	DBLP BibTeX RDF
37	Navid Ardeshir, Daniel J. Hsu, Clayton Hendrick Sanford	Intrinsic dimensionality and generalization properties of the R-norm inductive bias.	COLT	2023	DBLP BibTeX RDF
37	Wai Ming Tai, Bryon Aragam	Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures.	COLT	2023	DBLP BibTeX RDF
37	Yi Li, Honghao Lin, David P. Woodruff	ℓp-Regression in the Arbitrary Partition Model of Communication.	COLT	2023	DBLP BibTeX RDF
37	Naman Agarwal, Satyen Kale, Karan Singh, Abhradeep Thakurta	Differentially Private and Lazy Online Convex Optimization.	COLT	2023	DBLP BibTeX RDF
37	Saachi Mutreja, Jonathan Shafer	PAC Verification of Statistical Algorithms.	COLT	2023	DBLP BibTeX RDF
37	Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian	Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler.	COLT	2023	DBLP BibTeX RDF
37	Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar	Private Online Prediction from Experts: Separations and Faster Rates.	COLT	2023	DBLP BibTeX RDF
37	Kasper Green Larsen	Bagging is an Optimal PAC Learner.	COLT	2023	DBLP BibTeX RDF
37	Yuzhou Gu, Yury Polyanskiy	Weak Recovery Threshold for the Hypergraph Stochastic Block Model.	COLT	2023	DBLP BibTeX RDF
37	Antonio Blanca, Zongchen Chen, Daniel Stefankovic, Eric Vigoda	Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling.	COLT	2023	DBLP BibTeX RDF
37	Gabriel Arpino, Ramji Venkataramanan	Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression.	COLT	2023	DBLP BibTeX RDF
37	Guy Bresler, Tianze Jiang	Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique.	COLT	2023	DBLP BibTeX RDF
37	Shivam Gupta 0002, Jasper C. H. Lee, Eric Price 0001	Finite-Sample Symmetric Mean Estimation with Fisher Information Rate.	COLT	2023	DBLP BibTeX RDF
37	Aleksandrs Slivkins, Karthik Abinav Sankararaman, Dylan J. Foster	Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression.	COLT	2023	DBLP BibTeX RDF
37	Luca Arnaboldi 0002, Ludovic Stephan, Florent Krzakala, Bruno Loureiro	From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks.	COLT	2023	DBLP BibTeX RDF
37	Jason M. Altschuler, Kunal Talwar	Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling.	COLT	2023	DBLP BibTeX RDF
37	Sholom Schechtman, Daniil Tiapkin, Michael Muehlebach, Éric Moulines	Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold.	COLT	2023	DBLP BibTeX RDF
37	Ilias Diakonikolas, Daniel M. Kane, Thanasis Pittas, Nikos Zarifis	SQ Lower Bounds for Learning Mixtures of Separated and Bounded Covariance Gaussians.	COLT	2023	DBLP BibTeX RDF
37	Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, Ilya O. Tolstikhin	Fine-Grained Distribution-Dependent Learning Curves.	COLT	2023	DBLP BibTeX RDF
37	Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro	Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization.	COLT	2023	DBLP BibTeX RDF
37	Angeliki Giannou, Shashank Rajput, Dimitris Papailiopoulos	The Expressive Power of Tuning Only the Normalization Layers.	COLT	2023	DBLP BibTeX RDF
37	Sarah Sachs, Tim van Erven, Liam Hodgkinson, Rajiv Khanna, Umut Simsekli	Generalization Guarantees via Algorithm-dependent Rademacher Complexity.	COLT	2023	DBLP BibTeX RDF
37	Steve Hanneke, Liu Yang 0001	Bandit Learnability can be Undecidable.	COLT	2023	DBLP BibTeX RDF
37	Stefan Tiegel	Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems.	COLT	2023	DBLP BibTeX RDF
37	Badih Ghazi, Pritish Kamath, Ravi Kumar 0001, Pasin Manurangsi, Ayush Sekhari, Chiyuan Zhang	Ticketed Learning-Unlearning Schemes.	COLT	2023	DBLP BibTeX RDF
37	Mahdi Soltanolkotabi, Dominik Stöger, Changzhi Xie	Implicit Balancing and Regularization: Generalization and Convergence Guarantees for Overparameterized Asymmetric Matrix Sensing.	COLT	2023	DBLP BibTeX RDF
37	Han Bao 0002	Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds.	COLT	2023	DBLP BibTeX RDF
37	Qiwen Cui, Kaiqing Zhang, Simon S. Du	Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation.	COLT	2023	DBLP BibTeX RDF
37	Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dennis Shen	Causal Matrix Completion.	COLT	2023	DBLP BibTeX RDF
37	Kefan Dong, Tengyu Ma 0001	Toward L_∞Recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields.	COLT	2023	DBLP BibTeX RDF
37	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
37	Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari	Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence.	COLT	2023	DBLP BibTeX RDF
37	Sihan Liu, Gaurav Mahajan, Daniel Kane 0001, Shachar Lovett, Gellért Weisz, Csaba Szepesvári	Exponential Hardness of Reinforcement Learning with Linear Function Approximation.	COLT	2023	DBLP BibTeX RDF
37	Moïse Blanchard, Junhui Zhang, Patrick Jaillet	Quadratic Memory is Necessary for Optimal Query Complexity in Convex Optimization: Center-of-Mass is Pareto-Optimal.	COLT	2023	DBLP BibTeX RDF
37	Pranjal Awasthi, Nika Haghtalab, Eric Zhao 0003	Open Problem: The Sample Complexity of Multi-Distribution Learning for VC Classes.	COLT	2023	DBLP BibTeX RDF
37	Yuval Filmus, Steve Hanneke, Idan Mehalel, Shay Moran	Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension.	COLT	2023	DBLP BibTeX RDF
37	Sourav Chakraborty 0001, Eldar Fischer, Arijit Ghosh, Gopinath Mishra, Sayantan Sen	Testing of Index-Invariant Properties in the Huge Object Model.	COLT	2023	DBLP BibTeX RDF
37	Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh	Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints.	COLT	2023	DBLP BibTeX RDF
37	Christoph Dann, Chen-Yu Wei, Julian Zimmert	A Blackbox Approach to Best of Both Worlds in Bandits and Beyond.	COLT	2023	DBLP BibTeX RDF
37	Naren Sarayu Manoj, Nathan Srebro	Shortest Program Interpolation Learning.	COLT	2023	DBLP BibTeX RDF
37	Zeyu Jia, Yury Polyanskiy, Yihong Wu 0001	Entropic characterization of optimal rates for learning Gaussian mixtures.	COLT	2023	DBLP BibTeX RDF
37	Omar Fawzi, Nicolas Flammarion, Aurélien Garivier, Aadil Oufkir	Quantum Channel Certification with Incoherent Measurements.	COLT	2023	DBLP BibTeX RDF
37	Shinji Ito, Kei Takemura	Best-of-Three-Worlds Linear Bandit Algorithm with Variance-Adaptive Regret Bounds.	COLT	2023	DBLP BibTeX RDF
37	Tor Lattimore, András György 0001	A Second-Order Method for Stochastic Bandit Convex Optimisation.	COLT	2023	DBLP BibTeX RDF
37	Wenhao Li, Ningyuan Chen	Allocating Divisible Resources on Arms with Unknown and Random Rewards.	COLT	2023	DBLP BibTeX RDF
37	Yuzhou Gu, Yury Polyanskiy	Uniqueness of BP fixed point for the Potts model and applications to community detection.	COLT	2023	DBLP BibTeX RDF
37	Ilias Diakonikolas, Daniel M. Kane, Yuetian Luo, Anru Zhang	Statistical and Computational Limits for Tensor-on-Tensor Association Detection.	COLT	2023	DBLP BibTeX RDF
37	Changlong Wu, Ananth Grama, Wojciech Szpankowski	Online Learning in Dynamically Changing Environments.	COLT	2023	DBLP BibTeX RDF
37	Alekh Agarwal, Yujia Jin, Tong Zhang 0001	VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation.	COLT	2023	DBLP BibTeX RDF
37	Osama A. Hanna, Lin Yang 0011, Christina Fragouli	Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms.	COLT	2023	DBLP BibTeX RDF
37	Maria-Luiza Vladarean, Nikita Doikov, Martin Jaggi, Nicolas Flammarion	Linearization Algorithms for Fully Composite Optimization.	COLT	2023	DBLP BibTeX RDF
37	Xuyang Zhao, Huiyuan Wang, Wei Lin	The Aggregation-Heterogeneity Trade-off in Federated Learning.	COLT	2023	DBLP BibTeX RDF
37	Ibrahim Issa, Amedeo Roberto Esposito, Michael Gastpar	Asymptotically Optimal Generalization Error Bounds for Noisy, Iterative Algorithms.	COLT	2023	DBLP BibTeX RDF
37	Cheng Mao, Alexander S. Wein, Shenduo Zhang	Detection-Recovery Gap for Planted Dense Cycles.	COLT	2023	DBLP BibTeX RDF
37	Gleb Novikov	Sparse PCA Beyond Covariance Thresholding.	COLT	2023	DBLP BibTeX RDF
37	Matthew Shunshi Zhang, Sinho Chewi, Mufan (Bill) Li, Krishna Balasubramanian, Murat A. Erdogdu	Improved Discretization Analysis for Underdamped Langevin Monte Carlo.	COLT	2023	DBLP BibTeX RDF
37	Kevin H. Huang, Xing Liu, Andrew B. Duncan, Axel Gandy	A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing.	COLT	2023	DBLP BibTeX RDF
37	Fang Kong, Canzhe Zhao, Shuai Li 0010	Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm.	COLT	2023	DBLP BibTeX RDF
37	Giannis Fikioris, Éva Tardos	Approximately Stationary Bandits with Knapsacks.	COLT	2023	DBLP BibTeX RDF
37	Elchanan Mossel, Jonathan Niles-Weed, Youngtak Sohn, Nike Sun, Ilias Zadik	Sharp thresholds in inference of planted subgraphs.	COLT	2023	DBLP BibTeX RDF
37	Bo Yuan, Jiaojiao Fan, Jiaming Liang, Andre Wibisono, Yongxin Chen	On a Class of Gibbs Sampling over Networks.	COLT	2023	DBLP BibTeX RDF
37	Dirk van der Hoeven, Lukas Zierahn, Tal Lancewicki, Aviv Rosenberg 0002, Nicolò Cesa-Bianchi	A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs.	COLT	2023	DBLP BibTeX RDF
37	Soham Jana, Yury Polyanskiy, Anzo Z. Teh, Yihong Wu 0001	Empirical Bayes via ERM and Rademacher complexities: the Poisson model.	COLT	2023	DBLP BibTeX RDF
37	Jiseok Chae, Kyuwon Kim, Donghwan Kim	Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima?	COLT	2023	DBLP BibTeX RDF