Cooperative graph search by a system of autonomous agents. - Jared C. Hill; Matthew S. Nokleby; James K. Archibald; Richard L. Frost; Wynn C. Stirling (SMC, 2005)

The Stag Hunt: A Vehicle for Evolutionary Cooperation. - Matthew S. Nokleby; Wynn C. Stirling (IEEE Congress on Evolutionary Computation, 2006)

Multicriterion Decision Making with Depen ent Preferences. - Wynn C. Stirling; Richard L. Frost; Matthew S. Nokleby; Yabing Luo (MCDM, 2007)

Cooperative Power Scheduling for Wireless MIMO Networks. - Matthew S. Nokleby; A. Lee Swindlehurst; Yue Rong; Yingbo Hua (GLOBECOM, 2007)

Rational coordination under risk: Coherence and the Nash bargain. - Wynn C. Stirling; Matthew S. Nokleby (CASE, 2008)

Bargaining and Multi-User Detection in MIMO Interference Networks. - Matthew S. Nokleby; A. Lee Swindlehurst (ICCCN, 2008)

Bargaining and the MISO Interference Channel. - Matthew S. Nokleby; A. Lee Swindlehurst (EURASIP J. Adv. Signal Process., 2009)

Satisficing Coordination and Social Welfare for Robotic Societies. - Wynn C. Stirling; Matthew S. Nokleby (Int. J. Soc. Robotics, 2009)

Attitude Adaptation in Satisficing Games. - Matthew S. Nokleby; Wynn C. Stirling (IEEE Trans. Syst. Man Cybern. Part B, 2009)

User Cooperation for Energy-Efficient Cellular Communications. - Matthew S. Nokleby; Behnaam Aazhang (ICC, 2010)

Gossiping in groups: Distributed averaging over the wireless medium. - Matthew S. Nokleby; Waheed U. Bajwa; A. Robert Calderbank; Behnaam Aazhang (Allerton, 2011)

Lattice Coding over the Relay Channel. - Matthew S. Nokleby; Behnaam Aazhang (ICC, 2011)

Cooperative computation in wireless networks. - Matthew S. Nokleby; Behnaam Aazhang (ISIT, 2011)

Unchaining from the channel: Cooperative computation over multiple-access channels. - Matthew S. Nokleby; Behnaam Aazhang (ITW, 2011)

Toward resource-optimal averaging consensus over the wireless medium. - Matthew S. Nokleby; Waheed U. Bajwa; A. Robert Calderbank; Behnaam Aazhang (ACSCC, 2012)

Relay computation: Managing interference with structure and cooperation. - Matthew S. Nokleby; Bobak Nazer; Behnaam Aazhang (Allerton Conference, 2012)

Hierarchical averaging over wireless sensor networks. - Matthew S. Nokleby; Waheed U. Bajwa; A. Robert Calderbank; Behnaam Aazhang (ICASSP, 2012)

Relays that cooperate to compute. - Matthew S. Nokleby; Bobak Nazer; Behnaam Aazhang; Natasha Devroye (ISWCS, 2012)

Resource tradeoffs in distributed subspace tracking over the wireless medium. - Matthew S. Nokleby; Waheed U. Bajwa (GlobalSIP, 2013)

Low density lattice codes for the relay channel. - Nuwan S. Ferdinand; Matthew S. Nokleby; Behnaam Aazhang (ICC, 2013)

Amplify-and-compute: Function computation over layered networks. - Matthew S. Nokleby; Bobak Nazer (ISIT, 2013)

Information-theoretic limits on the classification of Gaussian mixtures: Classification on the Grassmann manifold. - Matthew S. Nokleby; A. Robert Calderbank; Miguel R. D. Rodrigues (ITW, 2013)

Toward Resource-Optimal Consensus Over the Wireless Medium. - Matthew S. Nokleby; Waheed U. Bajwa; A. Robert Calderbank; Behnaam Aazhang (IEEE J. Sel. Top. Signal Process., 2013)

MMSE scaling enhances performance in practical lattice codes. - Nuwan S. Ferdinand; Matthew S. Nokleby; Brian M. Kurkoski; Behnaam Aazhang (ACSSC, 2014)

Information-theoretic criteria for the design of compressive subspace classifiers. - Matthew S. Nokleby; Miguel R. D. Rodrigues; A. Robert Calderbank (ICASSP, 2014)

Dynamic Spectrum Estimation with Minimal Overhead via Multiscale Information Exchange. - Nicolò Michelusi; Matthew S. Nokleby; Urbashi Mitra; A. Robert Calderbank (GLOBECOM, 2015)

A rate-distortion framework for supervised learning. - Matthew S. Nokleby; Ahmad Beirami; A. Robert Calderbank (MLSP, 2015)

Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers. - Matthew S. Nokleby; Miguel R. D. Rodrigues; A. Robert Calderbank (IEEE Trans. Inf. Theory, 2015)

Low-Density Lattice Codes for Full-Duplex Relay Channels. - Nuwan S. Ferdinand; Matthew S. Nokleby; Behnaam Aazhang (IEEE Trans. Wirel. Commun., 2015)

Learning Deep Networks from Noisy Labels with Dropout Regularization. - Ishan Jindal; Matthew S. Nokleby; Xue-wen Chen 001 (ICDM, 2016)

Voronoi constellations for high-dimensional lattice codes. - Nuwan S. Ferdinand; Matthew S. Nokleby; Behnaam Aazhang (ISIT, 2016)

Rate-distortion bounds on Bayes risk in supervised learning. - Matthew S. Nokleby; Ahmad Beirami; A. Robert Calderbank (ISIT, 2016)

Low-Dimensional Shaping for High-Dimensional Lattice Codes. - Nuwan S. Ferdinand; Brian M. Kurkoski; Matthew S. Nokleby; Behnaam Aazhang (IEEE Trans. Wirel. Commun., 2016)

Cooperative Compute-and-Forward. - Matthew S. Nokleby; Behnaam Aazhang (IEEE Trans. Wirel. Commun., 2016)

Fast and compact Kronecker-structured dictionary learning for classification and representation. - Ishan Jindal; Matthew S. Nokleby (ACSSC, 2017)

Multi-scale spectrum sensing in millimeter wave cognitive networks. - Nicolò Michelusi; Matthew S. Nokleby; Urbashi Mitra; A. Robert Calderbank (ACSSC, 2017)

Distributed mirror descent for stochastic learning over rate-limited networks. - Matthew S. Nokleby; Waheed U. Bajwa (CAMSAP, 2017)

Multi-scale spectrum sensing in small-cell mm-wave cognitive wireless networks. - Nicolò Michelusi; Matthew S. Nokleby; Urbashi Mitra; A. Robert Calderbank (ICC, 2017)

Performance limits on the classification of Kronecker-structured models. - Ishan Jindal; Matthew S. Nokleby (ISIT, 2017)

A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip. - Ishan Jindal; Zhiwei (Tony) Qin; Xue-wen Chen 001; Matthew S. Nokleby; Jieping Ye (CoRR, 2017)

Information Bottleneck Methods for Distributed Learning. - Parinaz Farajiparvar; Ahmad Beirami; Matthew S. Nokleby (Allerton, 2018)

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. - Ishan Jindal; Zhiwei (Tony) Qin; Xue-wen Chen 001; Matthew S. Nokleby; Jieping Ye (IEEE BigData, 2018)

Multi-scale Spectrum Sensing in 5G Cognitive Networks. - Nicolò Michelusi; Matthew S. Nokleby; Urbashi Mitra; A. Robert Calderbank (CoRR, 2018)

Classification and Representation via Separable Subspaces: Performance Limits and Algorithms. - Ishan Jindal; Matthew S. Nokleby (IEEE J. Sel. Top. Signal Process., 2018)

A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels. - Ishan Jindal; Matthew S. Nokleby; Daniel Pressel (CVPR Workshops, 2019)

Tensor Matched Kronecker-structured Subspace Detection for Missing Information. - Ishan Jindal; Matthew S. Nokleby (ICASSP, 2019)

Anytime Minibatch: Exploiting Stragglers in Online Distributed Optimization. - Nuwan S. Ferdinand; Haider Al-Lawati; Stark C. Draper; Matthew S. Nokleby (ICLR (Poster), 2019)

An Effective Label Noise Model for DNN Text Classification. - Ishan Jindal; Daniel Pressel; Brian Lester; Matthew S. Nokleby (NAACL-HLT (1), 2019)

"Stream loss": ConvNet learning for face verification using unlabeled videos in the wild. - Elaheh Rashedi; Elaheh Barati; Matthew S. Nokleby; Xue-wen Chen 001 (Neurocomputing, 2019)

A Robotic Recording and Playback Platform for Training Surgeons and Learning Autonomous Behaviors Using the da Vinci Surgical System. - Abhilash K. Pandya; Shahab Eslamian; Hao Ying 001; Matthew S. Nokleby; Luke A. Reisner (Robotics, 2019)

Multi-Scale Spectrum Sensing in Dense Multi-Cell Cognitive Networks. - Nicolò Michelusi; Matthew S. Nokleby; Urbashi Mitra; A. Robert Calderbank (IEEE Trans. Commun., 2019)

Stochastic Optimization From Distributed Streaming Data in Rate-Limited Networks. - Matthew S. Nokleby; Waheed U. Bajwa (IEEE Trans. Signal Inf. Process. over Networks, 2019)

Learning Furniture Compatibility with Graph Neural Networks. - Luisa F. Polanía; Mauricio Flores; Matthew S. Nokleby; Yiran Li (CVPR Workshops, 2020)

Scaling-Up Distributed Processing of Data Streams for Machine Learning. - Matthew S. Nokleby; Haroon Raja; Waheed U. Bajwa (Proc. IEEE, 2020)

Information-Theoretic Bayes Risk Lower Bounds for Realizable Models. - Matthew S. Nokleby; Ahmad Beirami (CoRR, 2021)

Ontology-Guided Knowledge Graph Retrieval for Multi-Hop and Cross-Granularity Store Fulfillment Queries. - Mengyue Zhao; Matthew S. Nokleby; Bo Shen; Wenbo Dong; Deepti Pachauri; Andrew Yang (SIGIR, 2025)