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- Z. Gao, F. Gama and A. Ribeiro, ”Stability of Spherical Convolutional Neural Networks to Rotation Diffeomorphisms,” European Signal Processing Conference (to appear). August 23-27 2021. Dublin, Ireland.
- T. K. Hu, F. Gama, T. Chen, Z. Wang, A. Ribeiro and B. M. Sadler, ”VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms,” International Conference on Acoustics, Speech, and Signal Processing (pp. 4900-4904). June 6-11 2021. Toronto, ON, Canada.
- F. Gama, E. Tolstaya and A. Ribeiro, ”Graph Neural Networks for Decentralized Controllers,” International Conference on Acoustics, Speech, and Signal Processing (pp. 5260-5264). June 6-11 2021. Toronto, ON, Canada.
- Z. Gao, F. Gama and A. Ribeiro, ”Wide and Deep Graph Neural Networks with Distributed Online Learning,” International Conference on Acoustics, Speech, and Signal Processing (pp. 5270-5274). June 6-11 2021. Toronto, ON, Canada.
- S. Pfrommer, A. Ribeiro and F. Gama, ”Discriminability of Single-Layer Graph Neural Networks,” International Conference on Acoustics, Speech, and Signal Processing. June 6-11 2021. Toronto, ON, Canada. (pp. 8508-8512).
- A. Parada-Mayorga and A. Ribeiro, ”Stability of Algebraic Neural Networks to Small Perturbations,” International Conference on Acoustics, Speech, and Signal Processing. June 6-11 2021. Toronto, ON, Canada. (pp. 5205-5209).
- L. Ruiz, F. Gama, A. Ribeiro and E. Isufi, ”Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks,” International Conference on Acoustics, Speech, and Signal Processing. June 6-11 2021. Toronto, ON, Canada. (pp. 5265-5269).
- Z. Wang, M. Eisen and A. Ribeiro, ”Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks,” International Conference on Acoustics, Speech, and Signal Processing. June 6-11 2021. Toronto, ON, Canada. (pp. 8143-8147).
- L. Ruiz, Z. Wang and A. Ribeiro, ”Graphon and Graph Neural Network Stability,” International Conference on Acoustics, Speech, and Signal Processing. June 6-11 2021. Toronto, ON, Canada. (pp. 5255-5259).
- Z. Gao, E. Isufi and A. Ribeiro, ”Variance-Constrained Learning for Stochastic Graph Neural Networks,” International Conference on Acoustics, Speech, and Signal Processing. June 6-11 2021. Toronto, ON, Canada. (pp. 5245-5249).
- Juan Cervino, L. Ruiz and A. Ribeiro, ”Increase and Conquer: Training Graph Neural Networks on Growing Graphs,” Advances in Neural Information Processing Systems. December 6-14 2021. (submitted).
- L. Ruiz, L. F. O. Chamon and A. Ribeiro, ”Graphon Filters: Signal Processing in Very Large Graphs,” European Signal Processing Conference . January 18-21 2021. Amsterdam, Netherlands.
- D. S. Kalogerias, M. Eisen, G. J. Pappas and A. Ribeiro, ”Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems,” European Signal Processing Conference. January 18-21 2021. Amsterdam, Netherlands. (pp. 1727-1731).
- A. Parada-Mayorga, L. Ruiz and A. Ribeiro, ”Graphon Pooling in Graph Neural Networks,” European Signal Processing Conference. January 18-21 2021. Amsterdam, Netherlands. (pp. 860-864).
- Juan Cervino, J. A. Bazerque, M. Calvo-Fullana and A. Ribeiro, ”Multi-task Supervised Learning via Cross-learning,” European Signal Processing Conference . August 23-27 2021. Dublin, Ireland.
- L. Zhou, V. D. Sharma, Q. Li, A. Prorok, A. Ribeiro and V. Kumar, ”Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection,” IEEE International Symposium on Multi-Robot and Multi-Agent Systems (submitted). November 4-5 2021. Cambridge, UK.
- A. Parada-Mayorga, H. Riess, A. Ribeiro and R. Ghrist, ”Quiver Signal Processing (QSP),” International Conference on Acoustics, Speech, and Signal Processing. May 26-31 2021. Vancouver, BC, Canada. (pp. 1-5).
- A. Tsiamis, D. S. Kalogerias, L. F. O. Chamon, A. Ribeiro and G. J. Pappas, ”Risk-Constrained Linear-Quadratic Regulators,” Conference on Decision and Control. December 14-18 2020. Jeju Island, South Korea. (pp. 3040-3047).
- L. F. O. Chamon, A. Amice, S. Paternain and A. Ribeiro, ”Resilient Control: Compromising to Adapt,” Conference on Decision and Control. December 14-18 2020. Jeju Island, South Korea. (pp. 5703-5710).
- V. Lima, M. Eisen and A. Ribeiro, ”Learning Constrained Resource Allocation Policies in Wireless Control Systems,” Conference on Decision and Control. December 14-18 2020. Jeju Island, South Korea. (pp. 2615-2621).
- Z. Wang, M. Eisen and A. Ribeiro, ”Decentralized Wireless Resource Allocation with Graph Neural Networks,” Asilomar Conference on Signals, Systems, and Computers. November 1-4 2020. Pacific Grove, CA. (pp. 299-303).
- Q. Li, F. Gama, A. Ribeiro and A. Prorok, ”Graph Neural Networks for Decentralized Multi-Robot Path Planning,” International Conference on Intelligent Robots and Systems. October 25-29 2020. Las Vegas, NV. (pp. 11785-11792).
- B. Iancu, L. Ruiz, A. Ribeiro and E. Isufi, ”Graph-Adaptive Activation Functions for Graph Neural Networks,” Machine Learning for Signal Processing Workshop. September 21-24 2020. Espoo, Finland. (pp. 1-6).
- M. Jahani, X. He, C. Ma, A. Mokhtari, D. Mudigere, A. Ribeiro and M. Takac, ”Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy,” International Conference on Artificial Intelligence and Statistics. August 26-28 2020. Palermo, Italy. (pp. 2634-2644).
- H. Kumar, S. Paternain and A. Ribeiro, ”Navigation of a Quadratic Potential with Star Obstacles,” American Control Conference. July 1-3 2020. Denver, CO. (pp. 2043-2048).
- L. F. O. Chamon, S. Paternain and A. Ribeiro, ”Counterfactual Programming for Optimal Control,” Learning for Dynamics and Control. June 10-11 2020. Berkeley, CA. (pp. 235-244).
- V. Lima, M. Eisen, K. Gatsis and A. Ribeiro, ”Resource Allocation in Large-Scale Wireless Control Systems with Graph Neural Networks ,” IFAC World Congress. July 11-17 2020. Berlin, Germany. (pp. 2634-2641).
- L. F. O. Chamon and A. Ribeiro, ”Probably Approximately Correct Constrained Learning,” Advances in Neural Information Processing Systems. December 6-14 2020. Vancouver, BC, Canada. (pp. 16722-16735).
- L. Ruiz, L. F. O. Chamon and A. Ribeiro, ”Graphon Neural Networks and the Transferability of Graph Neural Networks,” Advances in Neural Information Processing Systems . December 6-12 2020. Vancouver, BC, Canada.
- M. Eisen, M. M. Rashid, D. Cavalcanti and A. Ribeiro, ”Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning,” International Conference on Communications. June 7-11 2020. Dublin, Ireland. (pp. 1-7).
- M. Eisen, M. M. Rashid, A. Ribeiro and D. Cavalcanti, ”Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks,” International Conference on Communications. June 7-11 2020. Dublin, Ireland. (pp. 1-6).
- Z. Shen, Z. Wang, A. Ribeiro and H. Hassani, ”Sinkhorn Barycenter via Functional Gradient Descent,” Advances in Neural Information Processing Systems. December 6-14 2020. Vancouver, BC, Canada. (pp. 1646-1656).
- A. Khan, E. Tolstaya, A. Ribeiro and V. Kumar, ”Graph Policy Gradients for Large Scale Robot Control,” Conference on Robot Learning. October 30-November 1 2020. Osaka, Japan. (pp. 823-834).
- C. Zhang, A. Khan, S. Paternain and A. Ribeiro, ”Sufficiently Accurate Model Learning,” International Conference on Robotics and Automation. May 31-June 4 2020. Paris, France. (pp. 10991-10997).
- D. Owerko, F. Gama and A. Ribeiro, ”Optimal Power Flow Using Graph Neural Networks,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 5930-5934).
- D. Mox, M. Calvo-Fullana, M. Gerasimenko, J. Fink, V. Kumar and A. Ribeiro, ”Mobile Wireless Network Infrastructure on Demand,” International Conference on Robotics and Automation. May 31-June 4 2020. Paris, France. (pp. 7726-7732).
- D. S. Kalogerias, L. F. O. Chamon, G. J. Pappas and A. Ribeiro, ”Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 5480-5484).
- D. S. Kalogerias, M. Eisen, G. J. Pappas and A. Ribeiro, ”A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 5045-5049).
- F. Gama, J. Bruna and A. Ribeiro, ”Stability of Graph Neural Networks to Relative Perturbations,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 9070-9074).
- L. Ruiz, L. F. O. Chamon and A. Ribeiro, ”The Graphon Fourier Transform,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 5660-5664).
- L. Ruiz, F. Gama and A. Ribeiro, ”Spatial Gating Strategies for Graph Recurrent Neural Networks,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 5550-5554).
- M. Peifer and A. Ribeiro, ”Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 4187-4191).
- M. Eisen and A. Ribeiro, ”Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 5040-5044).
- N. Naderializadeh, M. Eisen and A. Ribeiro, ”Wireless Power Control via Counterfactual Optimization of Graph Neural Networks,” Signal Processing Advances in Wireless Communications. May 26-29 2020. Atlanta, GA. (pp. 1-5).
- Q. Li, F. Gama, A. Ribeiro and A. Prorok, ”Graph Neural Networks for Decentralized Path Planning,” International Conference on Autonomous Agents and MultiAgent Systems. May 9-13 2020. Auckland, New Zealand. (pp. 1901-1903).
- S. Segarra, T. M. Roddenberry, F. Memoli and A. Ribeiro, ”Metric Representations of Networks: A Uniqueness Result,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 5345-5349).
- V. Lima, M. Eisen, K. Gatsis and A. Ribeiro, ”Resource Allocation in Wireless Control Systems via Deep Policy Gradient,” Signal Processing Advances in Wireless Communications. May 26-29 2020. Atlanta, GA. (pp. 1-5).
- Z. Gao, E. Isufi and A. Ribeiro, ”Stochastic Graph Neural Networks,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 9080-9084).
- Z. Gao, A. Koppel and A. Ribeiro, ”Balancing Rates and Variance via Adaptive Batch-Sizes in First-Order Stochastic Optimization,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 5385-5389).
- Z. Shen, Z. Wang, A. Ribeiro and H. Hassani, ”Sinkhorn Natural Gradient for Generative Models,” Advances in Neural Information Processing Systems. December 6-14 2020. Vancouver, BC, Canada. (pp. 1646-1656).
- M. Calvo-Fullana, D. Mox, A. Pyattaev, J. Fink, V. Kumar and A. Ribeiro, ”ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators,” International Conference on Robotics and Automation . May 30-June 5 2020. Xi’an, China.
- L. F. O. Chamon, S. Paternain, M. Calvo-Fullana and A. Ribeiro, ”The Empirical Duality Gap of Constrained Statistical Learning,” International Conference on Acoustics, Speech, and Signal Processing. May 4-8 2020. Barcelona, Spain. (pp. 8374-8378).
- Z. Gao, M. Eisen and A. Ribeiro, ”Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks,” Global Communications Conference. December 7-11 2020. Taipei, Taiwan. (pp. 1-6).
- Z. Gao, A. Koppel and A. Ribeiro, ”Incremental Greedy BFGS: An Incremental Quasi-Newton Method with Explicit Superlinear Rate,” Advances in Neural Information Processing Systems . December 6-12 2020. Vancouver, BC, Canada.
- F. Gama, J. Bruna and A. Ribeiro, ”Stability of Graph Scattering Transforms,” Advances in Neural Information Processing Systems. December 8-14 2019. Vancouver, BC, Canada. (pp. 8038-8048).
- H. Kumar, A. Koppel and A. Ribeiro, ”On the Sample Complexity of Actor-Critic for Reinforcement Learning,” Advances in Neural Information Processing Systems . December 8-14 2019. Vancouver, BC, Canada.
- L. F. O. Chamon, A. Amice and A. Ribeiro, ”Matroid-Constrained Approximately Supermodular Optimization for Near-Optimal Actuator Scheduling,” Conference on Decision and Control. December 11-13 2019. Nice, France. (pp. 3391-3398).
- S. Paternain, M. Morari and A. Ribeiro, ”Real-Time Model Predictive Control Based on Prediction-Correction Algorithms,” Conference on Decision and Control. December 11-13 2019. Nice, France. (pp. 5285-5291).
- S. Paternain, J. A. Bazerque, A. Small and A. Ribeiro, ”Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces,” Conference on Decision and Control. December 11-13 2019. Nice, France. (pp. 7454-7461).
- S. Paternain, S. Lee, M. M. Zavlanos and A. Ribeiro, ”Constrained Online Learning in Networks with Sublinear Regret and Fit,” Conference on Decision and Control. December 11-13 2019. Nice, France. (pp. 5486-5493).
- Z. Gao, M. Eisen and A. Ribeiro, ”Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems,” Global Communications Conference. December 9-13 2019. Waikoloa, HI. (pp. 1-6).
- F. Gama, A. G. Marques, G. Leus and A. Ribeiro, ”Convolutional Graph Neural Networks,” Asilomar Conference on Signals, Systems, and Computers. November 3-6 2019. Pacific Grove, CA. (pp. 452-456).
- L. F. O. Chamon, S. Paternain and A. Ribeiro, ”Learning Gaussian Processes with Bayesian Posterior Optimization,” Asilomar Conference on Signals, Systems, and Computers. November 3-6 2019. Pacific Grove, CA. (pp. 482-486).
- M. Coutino, E. Isufi, F. Gama, A. Ribeiro and G. Leus, ”Design Strategies for Sparse Control of Random Time-Varying Networks,” Asilomar Conference on Signals, Systems, and Computers. November 3-6 2019. Pacific Grove, CA. (pp. 184-188).
- M. Calvo-Fullana, F. Dagefu, B. M. Sadler and A. Ribeiro, ”Multi-mode Autonomous Communication Systems,” Asilomar Conference on Signals, Systems, and Computers. November 3-6 2019. Pacific Grove, CA. (pp. 1005-1009).
- S. Paternain, M. Calvo-Fullana, L. F. O. Chamon and A. Ribeiro, ”Learning Safe Policies via Primal-Dual Methods,” Conference on Decision and Control. December 11-13 2019. Nice, France. (pp. 6491-6497).
- E. Tolstaya, F. Gama, J. Paulos, G. J. Pappas, V. Kumar and A. Ribeiro, ”Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks,” Conference on Robot Learning. October 30-November 1 2019. Osaka, Japan. (pp. 671-682).
- S. Paternain, L. F. O. Chamon, M. Calvo-Fullana and A. Ribeiro, ”Constrained Reinforcement Learning Has Zero Duality Gap,” Advances in Neural Information Processing Systems. December 8-14 2019. Vancouver, BC, Canada. (pp. 7553-7563).
- A. KhanV. Kumar and A. Ribeiro, and and , ”Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints,” International Conference on Robotics and Automation (submitted). May 31-June 4 2019. Paris, France.
- E. Isufi, F. Gama and A. Ribeiro, ”Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs,” European Signal Processing Conference. September 2-6 2019. A Coruña, Spain. (pp. 1-5).
- L. Ruiz, F. Gama and A. Ribeiro, ”Gated Graph Convolutional Recurrent Neural Networks,” European Signal Processing Conference. September 2-6 2019. A Coruña, Spain. (pp. 1-5).
- H. Kumar, S. Paternain and A. Ribeiro, ”Navigation of a Quadratic Potential with Ellipsoidal Obstacles,” Conference on Decision and Control. December 11-13 2019. Nice, France. (pp. 4777-4784).
- A. Khan, C. Zhang, S. Li, J. Wu, B. Schlotfeldt, S. Tang, A. Ribeiro, O. Bastani and V. Kumar, ”Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints,” International Conference on Intelligent Robots and Systems. November 3-8 2019. Macau, China. (pp. 7558-7565).
- Juan Cervino, J. A. Bazerque, M. Calvo-Fullana and A. Ribeiro, ”Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces,” American Control Conference. July 10-12 2019. Philadelphia, PA. (pp. 4840-4846).
- M. Eisen and A. Ribeiro, ”Large Scale Wireless Power Allocation with Graph Neural Networks,” Signal Processing Advances in Wireless Communications. July 2-5 2019. Cannes, France. (pp. 1-5).
- S. Paternain, M. Fazlyab, V. Preciado and A. Ribeiro, ”A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization,” American Control Conference. July 10-12 2019. Philadelphia, PA. (pp. 835-841).
- T. R. Godbole, M. Calvo-Fullana, A. Pyattaev, D. Mox, Sergey Andreev, A. Ribeiro and M. Valkama, ”Modeling mmWave Channels in High-Fidelity Simulations of Unmanned Aerial Systems,” Signal Processing Advances in Wireless Communications. July 2-5 2019. Cannes, France. (pp. 1-5).
- V. Lima, L. F. O. Chamon and A. Ribeiro, ”Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection,” American Control Conference. July 10-12 2019. Philadelphia, PA. (pp. 347-353).
- F. Gama, A. G. Marques, A. Ribeiro and G. Leus, ”Aggregation Graph Neural Networks,” International Conference on Acoustics, Speech, and Signal Processing. May 12-17 2019. Brighton, United Kingdom. (pp. 4943-4947).
- F. Gama, A. Ribeiro and J. Bruna, ”Diffusion Scattering Transforms on Graphs,” International Conference on Learning Representations. May 6-9 2019. New Orleans, LA. (pp. 1-12).
- L. Ruiz, F. Gama, A. G. Marques and A. Ribeiro, ”Median Activation Functions for Graph Neural Networks,” International Conference on Acoustics, Speech, and Signal Processing. May 12-17 2019. Brighton, UK. (pp. 7440–7447).
- L. F. O. Chamon, Y. Eldar and A. Ribeiro, ”Sparse Recovery over Nonlinear Dictionaries,” International Conference on Acoustics, Speech, and Signal Processing. May 12-17 2019. Brighton, United Kingdom. (pp. 4878-4882).
- M. Peifer, L. F. O. Chamon, S. Paternain and A. Ribeiro, ”Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models,” International Conference on Acoustics, Speech, and Signal Processing. May 12-17 2019. Brighton, UK. (pp. 3292-3296).
- M. Eisen, C. Zhang, L. F. O. Chamon, D. D. Lee and A. Ribeiro, ”Dual Domain Learning of Optimal Resource Allocations in Wireless Systems,” International Conference on Acoustics, Speech, and Signal Processing. May 12-17 2019. Brighton, United Kingdom. (pp. 4729-4733).
- M. Eisen, M. M. Rashid, K. Gatsis, D. Cavalcanti, N. Himayat and A. Ribeiro, ”Control Aware Communication Design for Time Sensitive Wireless Systems,” International Conference on Acoustics, Speech, and Signal Processing. May 12-17 2019. Brighton, United Kingdom. (pp. 4584-4588).
- E. Tolstaya, A. Ribeiro, V. Kumar and A. Kapoor, ”Inverse Optimal Planning for Air Traffic Control,” International Conference on Intelligent Robots and Systems. November 3-8 2019. Macau, China. (pp. 7535-7542).
- Z. Shen, H. Hassani, C. Mi, H. Qian and A. Ribeiro, ”Hessian Aided Policy Gradient,” International Conference on Machine Learning. June 10-15 2019. Long Beach, CA. (pp. 5729-5738).
- S. Paternain, J. A. Bazerque, A. Small and A. Ribeiro, ”Learning Policies for Markov Decision Processes in Continuous Spaces,” Conference on Decision and Control. December 12-17 2018. Miami, FL. (pp. 4751-4758).
- S. Paternain, A. Mokhtari and A. Ribeiro, ”A Newton Method for Faster Navigation in Cluttered Environments,” Conference on Decision and Control. December 17-19 2018. Miami, FL. (pp. 4084-4090).
- W. Huang, Y. Wang, L. Zhou, E. Zhao, Y. Yuan and A. Ribeiro, ”Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series,” Advances in Neural Information Processing Systems . December 2-8 2018. Montreal, QC, Canada.
- D. Owerko, F. Gama and A. Ribeiro, ”Predicting Power Outages Using Graph Neural Networks,” Global Conference on Signal and Information Processing. November 26-29 2018. Anaheim, CA. (pp. 743-747).
- F. Gama, A. G. Marques, G. Leus and A. Ribeiro, ”CNN Architectures for Graph Data,” Global Conference on Signal and Information Processing. November 26-29 2018. Anaheim, CA. (pp. 723-724).
- A. Koppel, S. Paternain, C. Richard and A. Ribeiro, ”Decentralized Online Nonparametric Learning,” Asilomar Conference on Signals, Systems, and Computers. October 28-31 2018. Pacific Grove, CA. (pp. 2139-2143).
- E. Tolstaya, E. Stump, A. Koppel and A. Ribeiro, ”Composable Learning with Sparse Kernel Representations,” International Conference on Intelligent Robots and Systems. October 1-5 2018. Madrid, Spain. (pp. 4622-4628).
- M. Peifer, L. F. O. Chamon, S. Paternain and A. Ribeiro, ”Locally Adaptive Kernel Estimation Using Sparse Functional Programming,” Asilomar Conference on Signals, Systems, and Computers. October 28-31 2018. Pacific Grove, CA. (pp. 2022-2026).
- M. Eisen, C. Zhang, L. F. O. Chamon, D. D. Lee and A. Ribeiro, ”Online Deep Learning in Wireless Communication Systems,” Asilomar Conference on Signals, Systems, and Computers. October 28-31 2018. Pacific Grove, CA. (pp. 1289-1293).
- F. Gama, A. G. Marques, A. Ribeiro and G. Leus, ”MIMO Graph Filters for Convolutional Neural Networks,” Signal Processing Advances in Wireless Communications. June 25-28 2018. Kalamata, Greece. (pp. 1-5).
- F. Gama, G. Leus, A. G. Marques and A. Ribeiro, ”Convolutional Neural Networks via Node-Varying Graph Filters,” Data Science Workshop. June 4-6 2018. Lausanne, Switzerland. (pp. 1-5).
- M. Fazlyab, S. Paternain, A. Ribeiro and V. Preciado, ”Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods,” American Control Conference. June 27-29 2018. Milwaukee, WI. (pp. 3768-3773).
- M. Eisen, K. Gatsis, G. J. Pappas and A. Ribeiro, ”Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels,” Signal Processing Advances in Wireless Communications. June 25-28 2018. Kalamata, Greece. (pp. 1-5).
- M. Eisen, K. Gatsis, G. J. Pappas and A. Ribeiro, ”Learning in Non-Stationary Wireless Control Systems via Newton’s Method,” American Control Conference. June 27-29 2018. Milwaukee, WI. (pp. 1410-1417).
- S. Paternain, M. Morari and A. Ribeiro, ”A Prediction-Correction Method for Model Predictive Control,” American Control Conference. June 27-29 2018. Milwaukee, WI. (pp. 4189-4194).
- A. Koppel, A. Mokhtari and A. Ribeiro, ”Parallel Stochastic Successive Convex Approximation Method for Large-Scale Dictionary Learning,” International Conference on Acoustics, Speech, and Signal Processing. April 15-20 2018. Calgary, AB, Canada. (pp. 2771-2775).
- A. Koppel, E. Tolstaya, E. Stump and A. Ribeiro, ”Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems,” American Control Conference. June 27-29 2018. Milwaukee, WI. (pp. 6608-6615).
- F. Gama, E. Isufi, G. Leus and A. Ribeiro, ”Control of Graph Signals Over Random Time-Varying Graphs,” International Conference on Acoustics, Speech, and Signal Processing. April 15-20 2018. Calgary, AB, Canada. (pp. 4169-4173).
- L. F. O. Chamon, Y. Eldar and A. Ribeiro, ”Strong Duality of Sparse Functional Optimization,” International Conference on Acoustics, Speech, and Signal Processing. April 15-20 2018. Calgary, AB, Canada. (pp. 4739-4743).
- M. Eisen, K. Gatsis, G. J. Pappas and A. Ribeiro, ”Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems,” International Conference on Acoustics, Speech, and Signal Processing. April 15-20 2018. Calgary, AB, Canada. (pp. 3559-3563).
- M. Eisen, A. Mokhtari and A. Ribeiro, ”Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method,” International Conference on Artificial Intelligence and Statistics. April 9-11 2018. Playa Blanca, Lanzarote, Canary Islands. (pp. 1447-1455).
- W. Huang, A. G. Marques and A. Ribeiro, ”Matrix completion via graph signal processing,” International Conference on Acoustics, Speech, and Signal Processing. April 15-20 2018. Calgary, AB, Canada. (pp. 15-20).
- W. Huang, T. Bolton, J. Medaglia, D. S. Bassett, A. Ribeiro and D. Van De Ville, ”Graph Signal Processing of Human Brain Imaging Data,” International Conference on Acoustics, Speech, and Signal Processing. April 15-20 2018. Calgary, AB, Canada. (pp. 980-984).
- A. Khan, V. Kumar and A. Ribeiro, ”Learning Sample-Efficient Target Reaching for Mobile Robots,” International Conference on Intelligent Robots and Systems. October 1-5 2018. Madrid, Spain. (pp. 3080-3087).
- A. Mokhtari and A. Ribeiro, ”First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization,” Advances in Neural Information Processing Systems . December 4-9 2017. Long Beach, CA.
- L. F. O. Chamon, G. J. Pappas and A. Ribeiro, ”The mean square error in Kalman filtering sensor selection is approximately supermodular,” Conference on Decision and Control. December 12-15 2017. Melbourne, Australia. (pp. 343-350).
- S. Paternain and A. Ribeiro, ”Safe online navigation of convex potentials in spaces with convex obstacles,” Conference on Decision and Control. December 12-15 2017. Melbourne, Australia. (pp. 2473-2478).
- S. Segarra, A. G. Marques, G. R. Arce and A. Ribeiro, ”Design of weighted median graph filters,” International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. December 10-13 2017. Curacao, Netherlands Antilles. (pp. 1-5).
- A. Koppel, S. Paternain, C. Richard and A. Ribeiro, ”Decentralized efficient nonparametric stochastic optimization,” Global Conference on Signal and Information Processing. November 14-16 2017. Montreal, QC, Canada. (pp. 533-537).
- F. Gama and A. Ribeiro, ”Distributed estimation of smooth graph power spectral density,” Global Conference on Signal and Information Processing. November 14-16 2017. Montreal, QC, Canada. (pp. 643-647).
- L. F. O. Chamon and A. Ribeiro, ”Approximate Supermodularity Bounds for Experimental Design,” Advances in Neural Information Processing Systems . December 4-9 2017. Long Beach, CA.
- L. F. O. Chamon and A. Ribeiro, ”Finite-precision effects on graph filters,” Global Conference on Signal and Information Processing. November 14-16 2017. Montreal, QC, Canada. (pp. 603-607).
- M. Fazlyab, A. Ribeiro, M. Morari and V. Preciado, ”A dynamical systems perspective to convergence rate analysis of proximal algorithms,” Allerton Conference on Communications Control and Computing. October 3-6 2017. Monticello, IL. (pp. 354-360).
- M. Eisen, A. Mokhtari and A. Ribeiro, ”A primal-dual Quasi-Newton method for consensus optimization,” Asilomar Conference on Signals, Systems, and Computers. October 29-November 1 2017. Pacific Grove, CA. (pp. 298-302).
- W. Huang and A. Ribeiro, ”Partial embedding distance for networks,” Asilomar Conference on Signals, Systems, and Computers. October 29-November 1 2017. Pacific Grove, CA. (pp. 1968-1972).
- W. Huang, A. G. Marques and A. Ribeiro, ”Collaborative filtering via graph signal processing,” European Signal Processing Conference. August 28-September 2 2017. Kos, Greece. (pp. 1094-1098).
- M. Fazlyab, A. Koppel, V. Preciado and A. Ribeiro, ”A variational approach to dual methods for constrained convex optimization,” American Control Conference. May 24-26 2017. Seattle, WA. (pp. 5269-5275).
- M. Calvo-Fullana, C. Anton-Haro, J. Matamoros and A. Ribeiro, ”Random Access Policies for Wireless Networked Control Systems with Energy Harvesting Sensors,” American Control Conference. May 24-26 2017. Seattle, WA. (pp. 3042-3047).
- A. Koppel, G. Warnell, E. Stump and A. Ribeiro, ”Parsimonious Online Learning with Kernels via sparse projections in function space,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 4671-4675).
- A. Mokhtari, M. Eisen and A. Ribeiro, ”An incremental quasi-Newton method with a local superlinear convergence rate,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 4039-4043).
- A. Mokhtari, M. Gurbuzbalaban and A. Ribeiro, ”A double incremental aggregated gradient method with linear convergence rate for large-scale optimization,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 4696-4700).
- A. Mokhtari, A. Koppel, G. Scutari and A. Ribeiro, ”Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 4701-4705).
- F. Gama and A. Ribeiro, ”Weak law of large numbers for stationary graph processes,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 4124-4128).
- L. Goldsberry, W. Huang, N. Wymbs, S. Grafton, D. S. Bassett and A. Ribeiro, ”Brain signal analytics from graph signal processing perspective,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 851-855).
- L. F. O. Chamon and A. Ribeiro, ”Universal bounds for the sampling of graph signals,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 3899-3903).
- M. Calvo-Fullana, J. Matamoros, C. Anton-Haro and A. Ribeiro, ”Stochastic Backpressure in Energy Harvesting Networks,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 3724-3728).
- S. Segarra, A. G. Marques, G. Leus and A. Ribeiro, ”Stationary graph processes: Parametric power spectral estimation,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 4099-4103).
- S. Segarra, A. G. Marques, G. Mateos and A. Ribeiro, ”Robust network topology inference,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 6518-6522).
- W. Huang and A. Ribeiro, ”Axiomatic hierarchical clustering given intervals of metric distances,” International Conference on Acoustics, Speech, and Signal Processing. March 5-9 2017. New Orleans, LA. (pp. 4227-4231).
- C. Eksin, P. Molavi, A. Ribeiro and A. Jadbabaie, ”Bayesian Quadratic Network Game Filters,” International Conference on Acoustics, Speech, and Signal Processing. May 26-31 2013. Vancouver, BC, Canada. (pp. 4589-4593).
- G. Carlsson, F. Memoli, A. Ribeiro and S. Segarra, ”Axiomatic Construction of Hierarchical Clustering in Asymmetric Networks,” International Conference on Acoustics, Speech, and Signal Processing. May 26-31 2013. Vancouver, BC, Canada. (pp. 5219-5223).