Matthew S. Nokleby

74 papers A* 2B 13Misc 6Journal 33Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Ontology-Guided Knowledge Graph Retrieval for Multi-Hop and Cross-Granularity Store Fulfillment Queries. SIGIR Mengyue Zhao, Matthew S. Nokleby, Bo Shen, Wenbo Dong, Deepti Pachauri, Andrew Yang
2021	J	`jnl`	Information-Theoretic Bayes Risk Lower Bounds for Realizable Models. CoRR Matthew S. Nokleby, Ahmad Beirami
2020	J	`jnl`	Anytime MiniBatch: Exploiting Stragglers in Online Distributed Optimization. CoRR Nuwan S. Ferdinand, Haider Al-Lawati, Stark C. Draper, Matthew S. Nokleby
2020	—	`conf`	Learning Furniture Compatibility with Graph Neural Networks. CVPR Workshops Luisa F. Polanía, Mauricio Flores, Matthew S. Nokleby, Yiran Li
2020	J	`jnl`	Learning Furniture Compatibility with Graph Neural Networks. CoRR Luisa F. Polanía, Mauricio Flores, Yiran Li, Matthew S. Nokleby
2020	J	`jnl`	Scaling-Up Distributed Processing of Data Streams for Machine Learning. Proc. IEEE Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa
2020	J	`jnl`	Scaling-up Distributed Processing of Data Streams for Machine Learning. CoRR Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa
2019	J	`jnl`	"Stream loss": ConvNet learning for face verification using unlabeled videos in the wild. Neurocomputing Elaheh Rashedi, Elaheh Barati, Matthew S. Nokleby, Xue-wen Chen
2019	—	`conf`	A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels. CVPR Workshops Ishan Jindal, Matthew S. Nokleby, Daniel Pressel
2019	J	`jnl`	A Robotic Recording and Playback Platform for Training Surgeons and Learning Autonomous Behaviors Using the da Vinci Surgical System. Robotics Abhilash K. Pandya, Shahab Eslamian, Hao Ying, Matthew S. Nokleby, Luke A. Reisner
2019	—	`conf`	An Effective Label Noise Model for DNN Text Classification. NAACL-HLT (1) Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby
2019	J	`jnl`	An Effective Label Noise Model for DNN Text Classification. CoRR Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby
2019	—	`conf`	Anytime Minibatch: Exploiting Stragglers in Online Distributed Optimization. ICLR (Poster) Nuwan S. Ferdinand, Haider Al-Lawati, Stark C. Draper, Matthew S. Nokleby
2019	J	`jnl`	Multi-Scale Spectrum Sensing in Dense Multi-Cell Cognitive Networks. IEEE Trans. Commun. Nicolò Michelusi, Matthew S. Nokleby, Urbashi Mitra, A. Robert Calderbank
2019	J	`jnl`	Stochastic Optimization From Distributed Streaming Data in Rate-Limited Networks. IEEE Trans. Signal Inf. Process. over Networks Matthew S. Nokleby, Waheed U. Bajwa
2019	Misc	`conf`	Tensor Matched Kronecker-structured Subspace Detection for Missing Information. ICASSP Ishan Jindal, Matthew S. Nokleby
2018	J	`jnl`	Classification and Representation via Separable Subspaces: Performance Limits and Algorithms. IEEE J. Sel. Top. Signal Process. Ishan Jindal, Matthew S. Nokleby
2018	—	`conf`	Information Bottleneck Methods for Distributed Learning. Allerton Parinaz Farajiparvar, Ahmad Beirami, Matthew S. Nokleby
2018	J	`jnl`	Information Bottleneck Methods for Distributed Learning. CoRR Parinaz Farajiparvar, Ahmad Beirami, Matthew S. Nokleby
2018	J	`jnl`	Multi-scale Spectrum Sensing in 5G Cognitive Networks. CoRR Nicolò Michelusi, Matthew S. Nokleby, Urbashi Mitra, A. Robert Calderbank
2018	—	`conf`	Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. IEEE BigData Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2018	J	`jnl`	Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. CoRR Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2018	J	`jnl`	Tensor Matched Kronecker-Structured Subspace Detection for Missing Information. CoRR Ishan Jindal, Matthew S. Nokleby
2017	J	`jnl`	A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip. CoRR Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2017	—	`conf`	Distributed mirror descent for stochastic learning over rate-limited networks. CAMSAP Matthew S. Nokleby, Waheed U. Bajwa
2017	Misc	`conf`	Fast and compact Kronecker-structured dictionary learning for classification and representation. ACSSC Ishan Jindal, Matthew S. Nokleby
2017	J	`jnl`	Learning Deep Networks from Noisy Labels with Dropout Regularization. CoRR Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen
2017	J	`jnl`	Multi-scale Spectrum Sensing in Small-Cell mm-Wave Cognitive Wireless Networks. CoRR Nicolò Michelusi, Matthew S. Nokleby, Urbashi Mitra, A. Robert Calderbank
2017	Misc	`conf`	Multi-scale spectrum sensing in millimeter wave cognitive networks. ACSSC Nicolò Michelusi, Matthew S. Nokleby, Urbashi Mitra, A. Robert Calderbank
2017	—	`conf`	Multi-scale spectrum sensing in small-cell mm-wave cognitive wireless networks. ICC Nicolò Michelusi, Matthew S. Nokleby, Urbashi Mitra, A. Robert Calderbank
2017	J	`jnl`	Performance Limits on the Classification of Kronecker-structured Models. CoRR Ishan Jindal, Matthew S. Nokleby
2017	B	`conf`	Performance limits on the classification of Kronecker-structured models. ISIT Ishan Jindal, Matthew S. Nokleby
2017	J	`jnl`	Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks. CoRR Matthew S. Nokleby, Waheed U. Bajwa
2016	J	`jnl`	Cooperative Compute-and-Forward. IEEE Trans. Wirel. Commun. Matthew S. Nokleby, Behnaam Aazhang
2016	A*	`conf`	Learning Deep Networks from Noisy Labels with Dropout Regularization. ICDM Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen
2016	J	`jnl`	Low-Dimensional Shaping for High-Dimensional Lattice Codes. CoRR Nuwan S. Ferdinand, Brian M. Kurkoski, Matthew S. Nokleby, Behnaam Aazhang
2016	J	`jnl`	Low-Dimensional Shaping for High-Dimensional Lattice Codes. IEEE Trans. Wirel. Commun. Nuwan S. Ferdinand, Brian M. Kurkoski, Matthew S. Nokleby, Behnaam Aazhang
2016	J	`jnl`	Rate-Distortion Bounds on Bayes Risk in Supervised Learning. CoRR Matthew S. Nokleby, Ahmad Beirami, A. Robert Calderbank
2016	B	`conf`	Rate-distortion bounds on Bayes risk in supervised learning. ISIT Matthew S. Nokleby, Ahmad Beirami, A. Robert Calderbank
2016	B	`conf`	Voronoi constellations for high-dimensional lattice codes. ISIT Nuwan S. Ferdinand, Matthew S. Nokleby, Behnaam Aazhang
2015	—	`conf`	A rate-distortion framework for supervised learning. MLSP Matthew S. Nokleby, Ahmad Beirami, A. Robert Calderbank
2015	J	`jnl`	Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers. IEEE Trans. Inf. Theory Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank
2015	B	`conf`	Dynamic Spectrum Estimation with Minimal Overhead via Multiscale Information Exchange. GLOBECOM Nicolò Michelusi, Matthew S. Nokleby, Urbashi Mitra, A. Robert Calderbank
2015	J	`jnl`	Low-Density Lattice Codes for Full-Duplex Relay Channels. IEEE Trans. Wirel. Commun. Nuwan S. Ferdinand, Matthew S. Nokleby, Behnaam Aazhang
2014	J	`jnl`	Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers. CoRR Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank
2014	B	`conf`	Discrimination on the grassmann manifold: Fundamental limits of subspace classifiers. ISIT Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank
2014	Misc	`conf`	Information-theoretic criteria for the design of compressive subspace classifiers. ICASSP Matthew S. Nokleby, Miguel R. D. Rodrigues, A. Robert Calderbank
2014	Misc	`conf`	MMSE scaling enhances performance in practical lattice codes. ACSSC Nuwan S. Ferdinand, Matthew S. Nokleby, Brian M. Kurkoski, Behnaam Aazhang
2013	B	`conf`	Amplify-and-compute: Function computation over layered networks. ISIT Matthew S. Nokleby, Bobak Nazer
2013	B	`conf`	Information-theoretic limits on the classification of Gaussian mixtures: Classification on the Grassmann manifold. ITW Matthew S. Nokleby, A. Robert Calderbank, Miguel R. D. Rodrigues
2013	—	`conf`	Low density lattice codes for the relay channel. ICC Nuwan S. Ferdinand, Matthew S. Nokleby, Behnaam Aazhang
2013	—	`conf`	Resource tradeoffs in distributed subspace tracking over the wireless medium. GlobalSIP Matthew S. Nokleby, Waheed U. Bajwa
2013	J	`jnl`	Toward Resource-Optimal Consensus Over the Wireless Medium. IEEE J. Sel. Top. Signal Process. Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2012	J	`jnl`	Cooperative Compute-and-Forward CoRR Matthew S. Nokleby, Behnaam Aazhang
2012	Misc	`conf`	Hierarchical averaging over wireless sensor networks. ICASSP Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2012	—	`conf`	Relay computation: Managing interference with structure and cooperation. Allerton Conference Matthew S. Nokleby, Bobak Nazer, Behnaam Aazhang
2012	—	`conf`	Relays that cooperate to compute. ISWCS Matthew S. Nokleby, Bobak Nazer, Behnaam Aazhang, Natasha Devroye
2012	J	`jnl`	Toward Resource-Optimal Consensus over the Wireless Medium CoRR Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2012	—	`conf`	Toward resource-optimal averaging consensus over the wireless medium. ACSCC Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2011	B	`conf`	Cooperative computation in wireless networks. ISIT Matthew S. Nokleby, Behnaam Aazhang
2011	—	`conf`	Gossiping in groups: Distributed averaging over the wireless medium. Allerton Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2011	—	`conf`	Lattice Coding over the Relay Channel. ICC Matthew S. Nokleby, Behnaam Aazhang
2011	B	`conf`	Unchaining from the channel: Cooperative computation over multiple-access channels. ITW Matthew S. Nokleby, Behnaam Aazhang
2010	—	`conf`	User Cooperation for Energy-Efficient Cellular Communications. ICC Matthew S. Nokleby, Behnaam Aazhang
2009	J	`jnl`	Attitude Adaptation in Satisficing Games. IEEE Trans. Syst. Man Cybern. Part B Matthew S. Nokleby, Wynn C. Stirling
2009	J	`jnl`	Bargaining and the MISO Interference Channel. EURASIP J. Adv. Signal Process. Matthew S. Nokleby, A. Lee Swindlehurst
2009	J	`jnl`	Satisficing Coordination and Social Welfare for Robotic Societies. Int. J. Soc. Robotics Wynn C. Stirling, Matthew S. Nokleby
2008	B	`conf`	Bargaining and Multi-User Detection in MIMO Interference Networks. ICCCN Matthew S. Nokleby, A. Lee Swindlehurst
2008	—	`conf`	Rational coordination under risk: Coherence and the Nash bargain. CASE Wynn C. Stirling, Matthew S. Nokleby
2007	—	`conf`	Attitude Adaptation in Satisficing Games. FOCI Matthew S. Nokleby, Wynn C. Stirling
2007	B	`conf`	Cooperative Power Scheduling for Wireless MIMO Networks. GLOBECOM Matthew S. Nokleby, A. Lee Swindlehurst, Yue Rong, Yingbo Hua
2007	—	`conf`	Multicriterion Decision Making with Depen ent Preferences. MCDM Wynn C. Stirling, Richard L. Frost, Matthew S. Nokleby, Yabing Luo
2006	B	`conf`	The Stag Hunt: A Vehicle for Evolutionary Cooperation. IEEE Congress on Evolutionary Computation Matthew S. Nokleby, Wynn C. Stirling
2005	B	`conf`	Cooperative graph search by a system of autonomous agents. SMC Jared C. Hill, Matthew S. Nokleby, James K. Archibald, Richard L. Frost, Wynn C. Stirling