Anastasios Kyrillidis

180 papers A* 21A 15B 4Misc 6Journal 118Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm. AAAI Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis
2026	J	`jnl`	Convergence Analysis of Two-Layer Neural Networks under Gaussian Input Masking. CoRR Afroditi Kolomvaki, Fangshuo Liao, Evan Dramko, Ziyun Guang, Anastasios Kyrillidis
2026	J	`jnl`	Exploiting Low-Rank Structure in Max-K-Cut Problems. CoRR Ria Stevens, Fangshuo Liao, Barbara Su, Jianqiang Li, Anastasios Kyrillidis
2026	J	`jnl`	GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation. CoRR Michael Menezes, Anastasios Kyrillidis
2025	J	`jnl`	ADAPT: Lightweight, Long-Range Machine Learning Force Fields Without Graphs. CoRR Evan Dramko, Yihuang Xiong, Yizhi Zhu, Geoffroy Hautier, Thomas Reps, Christopher Jermaine, Anastasios Kyrillidis
2025	J	`jnl`	Completion of partial structures using Patterson maps with the CrysFormer machine learning model. CoRR Tom Pan, Evan Dramko, Mitchell D. Miller, Anastasios Kyrillidis, George N. Phillips Jr.
2025	J	`jnl`	Exploring How LLMs Capture and Represent Domain-Specific Knowledge. CoRR Mirian Hipolito Garcia, Camille Couturier, Daniel Madrigal Díaz, Ankur Mallick, Anastasios Kyrillidis, Robert Sim, Victor Rühle, Saravan Rajmohan
2025	J	`jnl`	Guided by the Experts: Provable Feature Learning Dynamic of Soft-Routed Mixture-of-Experts. CoRR Fangshuo Liao, Anastasios Kyrillidis
2025	J	`jnl`	On The Finetuning of MLIPs Through the Lens of Iterated Maps With BPTT. CoRR Evan Dramko, Yizhi Zhu, Aleksandar Krivokapic, Geoffroy Hautier, Thomas Reps, Christopher Jermaine, Anastasios Kyrillidis
2025	J	`jnl`	One Rank at a Time: Cascading Error Dynamics in Sequential Learning. CoRR Mahtab Alizadeh Vandchali, Fangshuo Liao, Anastasios Kyrillidis
2025	—	`conf`	Provable Model-Parallel Distributed Principal Component Analysis with Parallel Deflation. CPAL Fangshuo Liao, Wenyi Su, Anastasios Kyrillidis
2025	J	`jnl`	Provable Model-Parallel Distributed Principal Component Analysis with Parallel Deflation. CoRR Fangshuo Liao, Wenyi Su, Anastasios Kyrillidis
2025	—	`conf`	Quantum EigenGame for excited state calculation. CPAL David A. Quiroga, Jason Han, Anastasios Kyrillidis
2025	J	`jnl`	Quantum EigenGame for excited state calculation. CoRR David A. Quiroga, Jason Han, Anastasios Kyrillidis
2025	—	`conf`	RecCrysFormer: Refined Protein Structural Prediction from 3D Patterson Maps via Recycling Training Runs. CPAL Tom Pan, Evan Dramko, Mitchell D. Miller, George N. Phillips Jr., Anastasios Kyrillidis
2025	J	`jnl`	RecCrysFormer: Refined Protein Structural Prediction from 3D Patterson Maps via Recycling Training Runs. CoRR Tom Pan, Evan Dramko, Mitchell D. Miller, George N. Phillips Jr., Anastasios Kyrillidis
2025	A*	`conf`	Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation. AAAI Chen Dun, Mirian del Carmen Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis
2025	J	`jnl`	Thinking Out of the Box: Hybrid SAT Solving by Unconstrained Continuous Optimization. CoRR Zhiwei Zhang, Samy Wu Fung, Anastasios Kyrillidis, Stanley J. Osher, Moshe Y. Vardi
2025	J	`jnl`	Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with NEST. Proc. ACM Meas. Anal. Comput. Syst. Yuqian Huo, David A. Quiroga, Anastasios Kyrillidis, Tirthak Patel
2025	J	`jnl`	Three Birds with One Stone: Improving Performance, Convergence, and System Throughput with Nest. CoRR Yuqian Huo, David A. Quiroga, Anastasios Kyrillidis, Tirthak Patel
2025	J	`jnl`	TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training. CoRR Michael Menezes, Barbara Su, Xinze Feng, Yehya Farhat, Hamza Shili, Anastasios Kyrillidis
2025	J	`jnl`	Unveiling Hidden Pivotal Players with GoalNet: A GNN-Based Soccer Player Evaluation System. CoRR Jacky Hao Jiang, Jerry Cai, Anastasios Kyrillidis
2024	J	`jnl`	A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm. CoRR Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis
2024	A*	`conf`	Adaptive Federated Learning with Auto-Tuned Clients. ICLR Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2024	J	`jnl`	Better Schedules for Low Precision Training of Deep Neural Networks. CoRR Cameron R. Wolfe, Anastasios Kyrillidis
2024	J	`jnl`	Better schedules for low precision training of deep neural networks. Mach. Learn. Cameron R. Wolfe, Anastasios Kyrillidis
2024	B	`conf`	Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size. ISIT John Chen, Chen Dun, Anastasios Kyrillidis
2024	J	`jnl`	GIST: distributed training for large-scale graph convolutional networks. J. Appl. Comput. Topol. Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
2024	J	`jnl`	How Much Pre-training Is Enough to Discover a Good Subnetwork? Trans. Mach. Learn. Res. Cameron R. Wolfe, Fangshuo Liao, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis
2024	—	`conf`	Leveraging Sparse Input and Sparse Models: Efficient Distributed Learning in Resource-Constrained Environments. CPAL Emmanouil Kariotakis, Grigorios Tsagkatakis, Panagiotis Tsakalides, Anastasios Kyrillidis
2024	A*	`conf`	On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis. ICML Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis
2024	B	`conf`	Provable Accelerated Convergence of Nesterov's Momentum for Deep ReLU Neural Networks. ALT Fangshuo Liao, Anastasios Kyrillidis
2024	A*	`conf`	Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty. ICRA Carlos Quintero-Peña, Wil Thomason, Zachary Kingston, Anastasios Kyrillidis, Lydia E. Kavraki
2024	J	`jnl`	When is Momentum Extragradient Optimal? A Polynomial-Based Analysis. Trans. Mach. Learn. Res. Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa
2023	J	`jnl`	Accelerated Convergence of Nesterov's Momentum for Deep Neural Networks under Partial Strong Convexity. CoRR Fangshuo Liao, Anastasios Kyrillidis
2023	J	`jnl`	Adaptive Federated Learning with Auto-Tuned Clients. CoRR Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2023	J	`jnl`	CrysFormer: Protein Structure Prediction via 3d Patterson Maps and Partial Structure Attention. CoRR Chen Dun, Qiutai Pan, Shikai Jin, Ria Stevens, Mitchell D. Miller, George N. Phillips Jr., Anastasios Kyrillidis
2023	A	`conf`	Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. AISTATS Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
2023	J	`jnl`	Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size. CoRR John Chen, Chen Dun, Anastasios Kyrillidis
2023	J	`jnl`	Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts. CoRR Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis
2023	A*	`conf`	Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. ICCV Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
2023	J	`jnl`	Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. CoRR Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
2023	A	`conf`	LOFT: Finding Lottery Tickets through Filter-wise Training. AISTATS Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
2023	J	`jnl`	Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. IEEE Control. Syst. Lett. Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2023	J	`jnl`	On the Error-Propagation of Inexact Deflation for Principal Component Analysis. CoRR Fangshuo Liao, Junhyung Lyle Kim, Cruz Barnum, Anastasios Kyrillidis
2023	A*	`conf`	Optimal Grasps and Placements for Task and Motion Planning in Clutter. ICRA Carlos Quintero-Peña, Zachary Kingston, Tianyang Pan, Rahul Shome, Anastasios Kyrillidis, Lydia E. Kavraki
2023	A*	`conf`	Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. NeurIPS Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
2023	J	`jnl`	Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time. CoRR Zichang Liu, Aditya Desai, Fangshuo Liao, Weitao Wang, Victor Xie, Zhaozhuo Xu, Anastasios Kyrillidis, Anshumali Shrivastava
2023	J	`jnl`	Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty. CoRR Carlos Quintero-Peña, Wil Thomason, Zachary Kingston, Anastasios Kyrillidis, Lydia E. Kavraki
2023	A	`conf`	Strong Lottery Ticket Hypothesis with ε-perturbation. AISTATS Zheyang Xiong, Fangshuo Liao, Anastasios Kyrillidis
2023	J	`jnl`	Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation. CoRR Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Anastasios Kyrillidis, Robert Sim
2023	—	`conf`	Using non-convex optimization in quantum process tomography: Factored gradient descent is tough to beat. ICRC David A. Quiroga, Anastasios Kyrillidis
2022	J	`jnl`	Cold Start Streaming Learning for Deep Networks. CoRR Cameron R. Wolfe, Anastasios Kyrillidis
2022	—	`conf`	Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum. L4DC Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis
2022	J	`jnl`	DPMS: An ADD-Based Symbolic Approach for Generalized MaxSAT Solving. CoRR Anastasios Kyrillidis, Moshe Y. Vardi, Zhiwei Zhang
2022	Misc	`conf`	Demon: Improved Neural Network Training With Momentum Decay. ICASSP John Chen, Cameron R. Wolfe, Zhao Li, Anastasios Kyrillidis
2022	J	`jnl`	Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. Proc. VLDB Endow. Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
2022	J	`jnl`	Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. CoRR Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
2022	J	`jnl`	Extragradient with Positive Momentum is Optimal for Games with Cross-Shaped Jacobian Spectrum. CoRR Junhyung Lyle Kim, Gauthier Gidel, Anastasios Kyrillidis, Fabian Pedregosa
2022	J	`jnl`	LOFT: Finding Lottery Tickets through Filter-wise Training. CoRR Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
2022	J	`jnl`	Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography. CoRR Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe, Anastasios Kyrillidis
2022	Misc	`conf`	No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds. ICASSP Ahmed Imtiaz Humayun, Randall Balestriero, Anastasios Kyrillidis, Richard G. Baraniuk
2022	J	`jnl`	No More Than 6ft Apart: Robust K-Means via Radius Upper Bounds. CoRR Ahmed Imtiaz Humayun, Randall Balestriero, Anastasios Kyrillidis, Richard G. Baraniuk
2022	J	`jnl`	On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons. Trans. Mach. Learn. Res. Fangshuo Liao, Anastasios Kyrillidis
2022	A*	`conf`	PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. ICLR Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
2022	J	`jnl`	PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. CoRR Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
2022	A	`conf`	ResIST: Layer-wise decomposition of ResNets for distributed training. UAI Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
2022	A	`conf`	Stackmix: a complementary mix algorithm. UAI John Chen, Samarth Sinha, Anastasios Kyrillidis
2022	J	`jnl`	Strong Lottery Ticket Hypothesis with ε-perturbation. CoRR Zheyang Xiong, Fangshuo Liao, Anastasios Kyrillidis
2022	—	`conf`	i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery. L4DC Cameron R. Wolfe, Anastasios Kyrillidis
2021	A	`conf`	Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective. AISTATS Jacky Zhang, Rajiv Khanna, Anastasios Kyrillidis, Sanmi Koyejo
2021	J	`jnl`	Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum. CoRR Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis
2021	J	`jnl`	Fast quantum state reconstruction via accelerated non-convex programming. CoRR Junhyung Lyle Kim, George Kollias, Amir Kalev, Ken X. Wei, Anastasios Kyrillidis
2021	J	`jnl`	Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks. CoRR Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava
2021	J	`jnl`	GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
2021	A	`conf`	Mitigating Deep Double Descent by Concatenating Inputs. CIKM John Chen, Qihan Wang, Anastasios Kyrillidis
2021	J	`jnl`	Mitigating deep double descent by concatenating inputs. CoRR John Chen, Qihan Wang, Anastasios Kyrillidis
2021	J	`jnl`	Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs. CoRR Junhyung Lyle Kim, Jose Antonio Lara Benitez, Mohammad Taha Toghani, Cameron R. Wolfe, Zhiwei Zhang, Anastasios Kyrillidis
2021	A*	`conf`	On Continuous Local BDD-Based Search for Hybrid SAT Solving. AAAI Anastasios Kyrillidis, Moshe Y. Vardi, Zhiwei Zhang
2021	J	`jnl`	On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons. CoRR Fangshuo Liao, Anastasios Kyrillidis
2021	J	`jnl`	Provably Efficient Lottery Ticket Discovery. CoRR Cameron R. Wolfe, Qihan Wang, Junhyung Lyle Kim, Anastasios Kyrillidis
2021	J	`jnl`	REX: Revisiting Budgeted Training with an Improved Schedule. CoRR John Chen, Cameron R. Wolfe, Anastasios Kyrillidis
2021	J	`jnl`	ResIST: Layer-Wise Decomposition of ResNets for Distributed Training. CoRR Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
2021	A*	`conf`	Robust Optimization-based Motion Planning for high-DOF Robots under Sensing Uncertainty. ICRA Carlos Quintero-Peña, Anastasios Kyrillidis, Lydia E. Kavraki
2021	J	`jnl`	Solving hybrid Boolean constraints in continuous space via multilinear Fourier expansions. Artif. Intell. Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang
2021	J	`jnl`	i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery. CoRR Cameron R. Wolfe, Anastasios Kyrillidis
2020	J	`jnl`	Bayesian Coresets: An Optimization Perspective. CoRR Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
2020	A*	`conf`	FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints. AAAI Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang
2020	J	`jnl`	ImCLR: Implicit Contrastive Learning for Image Classification. CoRR John Chen, Samarth Sinha, Anastasios Kyrillidis
2020	A	`conf`	Low-rank regularization and solution uniqueness in over-parameterized matrix sensing. AISTATS Kelly Geyer, Anastasios Kyrillidis, Amir Kalev
2020	A*	`conf`	Negative Sampling in Semi-Supervised learning. ICML John Chen, Vatsal Shah, Anastasios Kyrillidis
2020	J	`jnl`	On Continuous Local BDD-Based Search for Hybrid SAT Solving. CoRR Anastasios Kyrillidis, Moshe Y. Vardi, Zhiwei Zhang
2020	J	`jnl`	On Generalization of Adaptive Methods for Over-parameterized Linear Regression. CoRR Vatsal Shah, Soumya Basu, Anastasios Kyrillidis, Sujay Sanghavi
2020	J	`jnl`	Rank-One Measurements of Low-Rank PSD Matrices Have Small Feasible Sets. CoRR T. Mitchell Roddenberry, Santiago Segarra, Anastasios Kyrillidis
2019	A*	`conf`	Compressing Gradient Optimizers via Count-Sketches. ICML Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava
2019	J	`jnl`	Compressing Gradient Optimizers via Count-Sketches. CoRR Ryan Spring, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava
2019	J	`jnl`	Decaying momentum helps neural network training. CoRR John Chen, Anastasios Kyrillidis
2019	J	`jnl`	Distributed Learning of Deep Neural Networks using Independent Subnet Training. CoRR Binhang Yuan, Anastasios Kyrillidis, Christopher M. Jermaine
2019	J	`jnl`	FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints. CoRR Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang
2019	A*	`conf`	Learning Sparse Distributions using Iterative Hard Thresholding. NeurIPS Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
2019	J	`jnl`	Learning Sparse Distributions using Iterative Hard Thresholding. CoRR Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo
2019	J	`jnl`	Negative sampling in semi-supervised learning. CoRR John Chen, Vatsal Shah, Anastasios Kyrillidis
2019	J	`jnl`	Optimal Mini-Batch Size Selection for Fast Gradient Descent. CoRR Michael P. Perrone, Haidar Khan, Changhoan Kim, Anastasios Kyrillidis, Jerry Quinn, Valentina Salapura
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
2018	J	`jnl`	A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization. IEEE Trans. Signal Process. Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher
2018	J	`jnl`	A Single-Phase, Proximal Path-Following Framework. Math. Oper. Res. Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2018	J	`jnl`	Approximate Newton-based statistical inference using only stochastic gradients. CoRR Tianyang Li, Anastasios Kyrillidis, Liu Liu, Constantine Caramanis
2018	J	`jnl`	Finding Low-Rank Solutions via Nonconvex Matrix Factorization, Efficiently and Provably. SIAM J. Imaging Sci. Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2018	A	`conf`	IHT dies hard: Provable accelerated Iterative Hard Thresholding. AISTATS Rajiv Khanna, Anastasios Kyrillidis
2018	J	`jnl`	Implicit regularization and solution uniqueness in over-parameterized matrix sensing. CoRR Anastasios Kyrillidis, Amir Kalev
2018	J	`jnl`	Run Procrustes, Run! On the convergence of accelerated Procrustes Flow. CoRR Anastasios Kyrillidis, Shashanka Ubaru, Georgios Kollias, Kristofer E. Bouchard
2018	A	`conf`	Simple and practical algorithms for 𝓁 UAI Anastasios Kyrillidis
2018	J	`jnl`	Simple and practical algorithms for 𝓁 CoRR Anastasios Kyrillidis
2018	A*	`conf`	Statistical Inference Using SGD. AAAI Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis
2017	J	`jnl`	IHT dies hard: Provable accelerated Iterative Hard Thresholding. CoRR Rajiv Khanna, Anastasios Kyrillidis
2017	A	`conf`	Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. AISTATS Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2017	J	`jnl`	Provable quantum state tomography via non-convex methods. CoRR Anastasios Kyrillidis, Amir Kalev, Dohyung Park, Srinadh Bhojanapalli, Constantine Caramanis, Sujay Sanghavi
2017	J	`jnl`	Statistical inference using SGD. CoRR Tianyang Li, Liu Liu, Anastasios Kyrillidis, Constantine Caramanis
2016	A*	`conf`	A Simple and Provable Algorithm for Sparse Diagonal CCA. ICML Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell A. Poldrack
2016	J	`jnl`	A simple and provable algorithm for sparse diagonal CCA. CoRR Megasthenis Asteris, Anastasios Kyrillidis, Oluwasanmi Koyejo, Russell A. Poldrack
2016	J	`jnl`	A single-phase, proximal path-following framework. CoRR Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2016	J	`jnl`	Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions. CoRR Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner, Andreas Krause
2016	J	`jnl`	Bipartite Correlation Clustering - Maximizing Agreements. CoRR Megasthenis Asteris, Anastasios Kyrillidis, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2016	A	`conf`	Bipartite Correlation Clustering: Maximizing Agreements. AISTATS Megasthenis Asteris, Anastasios Kyrillidis, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2016	A	`conf`	Convex Block-sparse Linear Regression with Expanders - Provably. AISTATS Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
2016	J	`jnl`	Convex block-sparse linear regression with expanders - provably. CoRR Anastasios Kyrillidis, Bubacarr Bah, Rouzbeh Hasheminezhad, Quoc Tran-Dinh, Luca Baldassarre, Volkan Cevher
2016	A*	`conf`	Dropping Convexity for Faster Semi-definite Optimization. COLT Srinadh Bhojanapalli, Anastasios Kyrillidis, Sujay Sanghavi
2016	J	`jnl`	Finding Low-rank Solutions to Matrix Problems, Efficiently and Provably. CoRR Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2016	—	`conf`	Finding low-rank solutions to smooth convex problems via the Burer-Monteiro approach. Allerton Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2016	J	`jnl`	Group-Sparse Model Selection: Hardness and Relaxations. IEEE Trans. Inf. Theory Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis, Siddhartha Satpathi
2016	A	`conf`	Learning Sparse Additive Models with Interactions in High Dimensions. AISTATS Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner, Andreas Krause
2016	J	`jnl`	Learning Sparse Additive Models with Interactions in High Dimensions. CoRR Hemant Tyagi, Anastasios Kyrillidis, Bernd Gärtner, Andreas Krause
2016	J	`jnl`	Location Estimation Using Crowdsourced Spatial Relations. ACM Trans. Spatial Algorithms Syst. Georgios Skoumas, Dieter Pfoser, Anastasios Kyrillidis, Timos Sellis
2016	J	`jnl`	Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. CoRR Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi
2016	J	`jnl`	Provable non-convex projected gradient descent for a class of constrained matrix optimization problems. CoRR Dohyung Park, Anastasios Kyrillidis, Srinadh Bhojanapalli, Constantine Caramanis, Sujay Sanghavi
2016	J	`jnl`	Trading-off variance and complexity in stochastic gradient descent. CoRR Vatsal Shah, Megasthenis Asteris, Anastasios Kyrillidis, Sujay Sanghavi
2015	J	`jnl`	Composite self-concordant minimization. J. Mach. Learn. Res. Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2015	J	`jnl`	Compressive mining: fast and optimal data mining in the compressed domain. VLDB J. Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis
2015	J	`jnl`	Dropping Convexity for Faster Semi-definite Optimization. CoRR Srinadh Bhojanapalli, Anastasios Kyrillidis, Sujay Sanghavi
2015	J	`jnl`	Linear Inverse Problems with Norm and Sparsity Constraints. CoRR Volkan Cevher, Sina Jafarpour, Anastasios Kyrillidis
2015	—	`conf`	Sparse PCA via Bipartite Matchings. NIPS Megasthenis Asteris, Dimitris S. Papailiopoulos, Anastasios Kyrillidis, Alexandros G. Dimakis
2015	J	`jnl`	Sparse PCA via Bipartite Matchings. CoRR Megasthenis Asteris, Dimitris S. Papailiopoulos, Anastasios Kyrillidis, Alexandros G. Dimakis
2015	A*	`conf`	Stay on path: PCA along graph paths. ICML Megasthenis Asteris, Anastasios Kyrillidis, Alexandros G. Dimakis, Han-Gyol Yi, Bharath Chandrasekaran
2015	J	`jnl`	Stay on path: PCA along graph paths. CoRR Megasthenis Asteris, Anastasios Kyrillidis, Alexandros G. Dimakis, Han-Gyol Yi, Bharath Chandrasekaran
2015	J	`jnl`	Structured Sparsity: Discrete and Convex approaches. CoRR Anastasios Kyrillidis, Luca Baldassarre, Marwa El Halabi, Quoc Tran-Dinh, Volkan Cevher
2014	J	`jnl`	An Inexact Proximal Path-Following Algorithm for Constrained Convex Minimization. SIAM J. Optim. Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2014	J	`jnl`	Approximate Matrix Multiplication with Application to Linear Embeddings. CoRR Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias
2014	B	`conf`	Approximate matrix multiplication with application to linear embeddings. ISIT Anastasios Kyrillidis, Michail Vlachos, Anastasios Zouzias
2014	J	`jnl`	Compressive Mining: Fast and Optimal Data Mining in the Compressed Domain. CoRR Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis
2014	J	`jnl`	Fixed-Rank Rayleigh Quotient Maximization by an MPSK Sequence. IEEE Trans. Commun. Anastasios Kyrillidis, George N. Karystinos
2014	J	`jnl`	Fixed-rank Rayleigh Quotient Maximization by an $M$PSK Sequence. CoRR Anastasios Kyrillidis, George N. Karystinos
2014	A	`conf`	Improving Co-Cluster Quality with Application to Product Recommendations. CIKM Michail Vlachos, Francesco Fusco, Charalampos Mavroforakis, Anastasios Kyrillidis, Vassilios G. Vassiliadis
2014	J	`jnl`	Location Estimation Using Crowdsourced Geospatial Narratives. CoRR Georgios Skoumas, Dieter Pfoser, Anastasios Kyrillidis
2014	J	`jnl`	Matrix Recipes for Hard Thresholding Methods. J. Math. Imaging Vis. Anastasios Kyrillidis, Volkan Cevher
2014	J	`jnl`	Non-uniform Feature Sampling for Decision Tree Ensembles. CoRR Anastasios Kyrillidis, Anastasios Zouzias
2014	Misc	`conf`	Non-uniform feature sampling for decision tree ensembles. ICASSP Anastasios Kyrillidis, Anastasios Zouzias
2014	J	`jnl`	Provable Deterministic Leverage Score Sampling. CoRR Dimitris S. Papailiopoulos, Anastasios Kyrillidis, Christos Boutsidis
2014	A*	`conf`	Provable deterministic leverage score sampling. KDD Dimitris S. Papailiopoulos, Anastasios Kyrillidis, Christos Boutsidis
2014	—	`—`	Rigorous optimization recipes for sparse and low rank inverse problems with applications in data sciences. Anastasios Kyrillidis
2014	A*	`conf`	Scalable Sparse Covariance Estimation via Self-Concordance. AAAI Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher
2014	J	`jnl`	Scalable sparse covariance estimation via self-concordance. CoRR Anastasios Kyrillidis, Rabeeh Karimi Mahabadi, Quoc Tran-Dinh, Volkan Cevher
2013	—	`conf`	A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions. ICML (2) Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2013	J	`jnl`	Composite Self-Concordant Minimization. CoRR Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher
2013	Misc	`conf`	Fast proximal algorithms for Self-concordant function minimization with application to sparse graph selection. ICASSP Anastasios Kyrillidis, Volkan Cevher
2013	J	`jnl`	Group-Sparse Model Selection: Hardness and Relaxations CoRR Luca Baldassarre, Nirav Bhan, Volkan Cevher, Anastasios Kyrillidis
2013	J	`jnl`	On Quantifying Qualitative Geospatial Data: A Probabilistic Approach. CoRR Georgios Skoumas, Dieter Pfoser, Anastasios Kyrillidis
2013	—	`conf`	On quantifying qualitative geospatial data: a probabilistic approach. GEOGROWD Georgios Skoumas, Dieter Pfoser, Anastasios Kyrillidis
2013	J	`jnl`	Randomized Low-Memory Singular Value Projection CoRR Stephen Becker, Volkan Cevher, Anastasios Kyrillidis
2013	—	`conf`	Sparse projections onto the simplex. ICML (2) Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch
2013	—	`conf`	Sparse simplex projections for portfolio optimization. GlobalSIP Anastasios Kyrillidis, Stephen Becker, Volkan Cevher, Christoph Koch
2012	J	`jnl`	Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm CoRR Anastasios Kyrillidis, Volkan Cevher
2012	B	`conf`	Combinatorial selection and least absolute shrinkage via the Clash algorithm. ISIT Anastasios Kyrillidis, Volkan Cevher
2012	Misc	`conf`	Hard thresholding with norm constraints. ICASSP Anastasios Kyrillidis, Gilles Puy, Volkan Cevher
2012	—	`conf`	MATRIX ALPS: Accelerated low rank and sparse matrix reconstruction. SSP Anastasios Kyrillidis, Volkan Cevher
2012	J	`jnl`	Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction CoRR Anastasios Kyrillidis, Volkan Cevher
2012	J	`jnl`	Matrix Recipes for Hard Thresholding Methods CoRR Anastasios Kyrillidis, Volkan Cevher
2012	J	`jnl`	Multi-Way Compressed Sensing for Sparse Low-Rank Tensors. IEEE Signal Process. Lett. Nicholas D. Sidiropoulos, Anastasios Kyrillidis
2012	J	`jnl`	Sparse projections onto the simplex CoRR Anastasios Kyrillidis, Stephen Becker, Volkan Cevher
2011	Misc	`conf`	Rank-deficient quadratic-form maximization over M-phase alphabet: Polynomial-complexity solvability and algorithmic developments. ICASSP Anastasios Kyrillidis, George N. Karystinos
2011	—	`conf`	Recipes on hard thresholding methods. CAMSAP Anastasios Kyrillidis, Volkan Cevher