Samet Oymak - RankMe

196 papers A* 34A 7B 9C 4Misc 14Journal 110Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Covariance-Aware Transformers for Quadratic Programming and Decision Making. CoRR Kutay Tire, Yufan Zhang, Ege Onur Taga, Samet Oymak
2026	J	`jnl`	Learning to Bet for Horizon-Aware Anytime-Valid Testing. CoRR Ege Onur Taga, Samet Oymak, Shubhanshu Shekhar
2026	J	`jnl`	SmartChunk Retrieval: Query-Aware Chunk Compression with Planning for Efficient Document RAG. CoRR Xuechen Zhang, Koustava Goswami, Samet Oymak, Jiasi Chen, Nedim Lipka
2025	—	`conf`	A Case Study of Low Ranked Self-Expressive Structures in Neural Network Representations. CPAL Uday Singh Saini, William Shiao, Yahya Sattar, Yogesh Dahiya, Samet Oymak, Evangelos E. Papalexakis
2025	A*	`conf`	AdMiT: Adaptive Multi-Source Tuning in Dynamic Environments. CVPR Xiangyu Chang, Fahim Faisal Niloy, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2025	J	`jnl`	Attention with Trained Embeddings Provably Selects Important Tokens. CoRR Diyuan Wu, Aleksandr Shevchenko, Samet Oymak, Marco Mondelli
2025	J	`jnl`	BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for Reasoning. CoRR Xuechen Zhang, Zijian Huang, Yingcong Li, Chenshun Ni, Jiasi Chen, Samet Oymak
2025	J	`jnl`	Continuous Chain of Thought Enables Parallel Exploration and Reasoning. CoRR Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Hrayr Harutyunyan, Ankit Singh Rawat, Samet Oymak
2025	A*	`conf`	Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. ICML Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2025	J	`jnl`	Extrapolation by Association: Length Generalization Transfer in Transformers. CoRR Ziyang Cai, Nayoung Lee, Avi Schwarzschild, Samet Oymak, Dimitris Papailiopoulos
2025	—	`conf`	FLASH: Federated Learning Across Simultaneous Heterogeneities. MILCOM Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2025	J	`jnl`	Gating is Weighting: Understanding Gated Linear Attention through In-context Learning. CoRR Yingcong Li, Davoud Ataee Tarzanagh, Ankit Singh Rawat, Maryam Fazel, Samet Oymak
2025	A*	`conf`	High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws. ICLR Muhammed Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga, Marco Mondelli, Samet Oymak
2025	J	`jnl`	Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction. CoRR Xiaobo Xia, Xiaofeng Liu, Jiale Liu, Kuai Fang, Lu Lu, Samet Oymak, William S. Currie, Tongliang Liu
2025	J	`jnl`	Making Small Language Models Efficient Reasoners: Intervention, Supervision, Reinforcement. CoRR Xuechen Zhang, Zijian Huang, Chenshun Ni, Ziyang Xiong, Jiasi Chen, Samet Oymak
2025	J	`jnl`	Mitigating Participation Imbalance Bias in Asynchronous Federated Learning. CoRR Xiangyu Chang, Manyi Yao, Srikanth V. Krishnamurthy, Christian R. Shelton, Anirban Chakraborty, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2025	A*	`conf`	On the Power of Convolution-Augmented Transformer. AAAI Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak
2025	A	`conf`	Provable Benefits of Task-Specific Prompts for In-context Learning. AISTATS Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, Amit Roy-Chowdhury
2025	J	`jnl`	Provable Benefits of Task-Specific Prompts for In-context Learning. CoRR Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, Amit K. Roy-Chowdhury
2025	A*	`conf`	Test-Time Training Provably Improves Transformers as In-context Learners. ICML Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli, Samet Oymak
2025	J	`jnl`	Test-Time Training Provably Improves Transformers as In-context Learners. CoRR Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Mahdi Soltanolkotabi, Marco Mondelli, Samet Oymak
2025	A*	`conf`	TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data. AAAI Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak
2025	J	`jnl`	TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data. CoRR Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak
2025	J	`jnl`	When and How Unlabeled Data Provably Improve In-Context Learning. CoRR Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit K. Roy-Chowdhury, Samet Oymak
2024	A*	`conf`	A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions. AAAI Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti
2024	A*	`conf`	CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions. NeurIPS Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang, Dripta S. Raychaudhuri, Samet Oymak, Amit K. Roy-Chowdhury
2024	A*	`conf`	Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks. ICML Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024	J	`jnl`	Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks. CoRR Jongho Park, Jaeseung Park, Zheyang Xiong, Nayoung Lee, Jaewoong Cho, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024	A*	`conf`	Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. AAAI Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
2024	J	`jnl`	Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
2024	A	`conf`	Effective Restoration of Source Knowledge in Continual Test Time Adaptation. WACV Fahim Faisal Niloy, Sk Miraj Ahmed, Dripta S. Raychaudhuri, Samet Oymak, Amit K. Roy-Chowdhury
2024	A*	`conf`	Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning. NeurIPS Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
2024	J	`jnl`	Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition. CoRR Zheyang Xiong, Ziyang Cai, John Cooper, Albert Ge, Vasilis Papageorgiou, Zack Sifakis, Angeliki Giannou, Ziqian Lin, Liu Yang, Saurabh Agarwal, Grigorios G. Chrysos, Samet Oymak, Kangwook Lee, Dimitris Papailiopoulos
2024	J	`jnl`	FLASH: Federated Learning Across Simultaneous Heterogeneities. CoRR Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2024	A*	`conf`	Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond. NeurIPS Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond. CoRR Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	A*	`conf`	From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers. ICML Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers. CoRR Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws. CoRR Muhammed Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga, Marco Mondelli, Samet Oymak
2024	J	`jnl`	MeTA: Multi-source Test Time Adaptation. CoRR Sk Miraj Ahmed, Fahim Faisal Niloy, Dripta S. Raychaudhuri, Samet Oymak, Amit K. Roy-Chowdhury
2024	A	`conf`	Mechanics of Next Token Prediction with Self-Attention. AISTATS Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	Mechanics of Next Token Prediction with Self-Attention. CoRR Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak
2024	J	`jnl`	On the Power of Convolution Augmented Transformer. CoRR Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak
2024	J	`jnl`	Plug-and-Play Transformer Modules for Test-Time Adaptation. CoRR Xiangyu Chang, Sk Miraj Ahmed, Srikanth V. Krishnamurthy, Basak Guler, Ananthram Swami, Samet Oymak, Amit K. Roy-Chowdhury
2024	—	`conf`	Prediction for Dynamical Systems via Transfer Learning. CDC Zhe Du, Samet Oymak, Fabio Pasqualetti
2024	—	`conf`	Pyneapple-L: Scalable Expressive Learning-based Spatial Analysis. SIGSPATIAL/GIS Yongyi Liu, Nicolas Lee, Yunfan Kang, Mohammad Reza Shahneh, Ahmed Mahmood, Vishal Rohith Chinnam, Aparna Vivek Sarawadekar, Samet Oymak, Ibrahim Sabek, Amr Magdy
2024	J	`jnl`	Retrieval Augmented Time Series Forecasting. CoRR Kutay Tire, Ege Onur Taga, Muhammed Emrullah Ildiz, Samet Oymak
2024	A*	`conf`	Selective Attention: Enhancing Transformer through Principled Context Control. NeurIPS Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit K. Roy-Chowdhury, Jiasi Chen, Samet Oymak
2024	J	`jnl`	Selective Attention: Enhancing Transformer through Principled Context Control. CoRR Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit K. Roy-Chowdhury, Jiasi Chen, Samet Oymak
2024	J	`jnl`	TREACLE: Thrifty Reasoning via Context-Aware LLM and Prompt Selection. CoRR Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
2024	A	`conf`	Understanding Inverse Scaling and Emergence in Multitask Representation Learning. AISTATS Muhammed Emrullah Ildiz, Zhe Zhao, Samet Oymak
2023	J	`jnl`	Can Transformers Learn Optimal Filtering for Unknown Systems? CoRR Haldun Balim, Zhe Du, Samet Oymak, Necmiye Ozay
2023	J	`jnl`	Can Transformers Learn Optimal Filtering for Unknown Systems? IEEE Control. Syst. Lett. Zhe Du, Haldun Balim, Samet Oymak, Necmiye Ozay
2023	J	`jnl`	Dissecting Chain-of-Thought: A Study on Compositional In-Context Learning of MLPs. CoRR Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris S. Papailiopoulos, Samet Oymak
2023	A*	`conf`	Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning. NeurIPS Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak
2023	J	`jnl`	Effective Restoration of Source Knowledge in Continual Test Time Adaptation. CoRR Fahim Faisal Niloy, Sk Miraj Ahmed, Dripta S. Raychaudhuri, Samet Oymak, Amit K. Roy-Chowdhury
2023	J	`jnl`	FedYolo: Augmenting Federated Learning with Pretrained Transformers. CoRR Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak
2023	J	`jnl`	Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation. CoRR Davoud Ataee Tarzanagh, Mingchen Li, Pranay Sharma, Samet Oymak
2023	—	`conf`	Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. L4DC Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti
2023	J	`jnl`	Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs. CoRR Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti
2023	A*	`conf`	Max-Margin Token Selection in Attention Mechanism. NeurIPS Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
2023	J	`jnl`	Max-Margin Token Selection in Attention Mechanism. CoRR Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
2023	J	`jnl`	Noise in the reverse process improves the approximation capabilities of diffusion models. CoRR Karthik Elamvazhuthi, Samet Oymak, Fabio Pasqualetti
2023	Misc	`conf`	On The Fairness of Multitask Representation Learning. ICASSP Yingcong Li, Samet Oymak
2023	A*	`conf`	On the Role of Attention in Prompt-tuning. ICML Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
2023	J	`jnl`	On the Role of Attention in Prompt-tuning. CoRR Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis
2023	A*	`conf`	Provable Pathways: Learning Multiple Tasks over Multiple Paths. AAAI Yingcong Li, Samet Oymak
2023	J	`jnl`	Provable Pathways: Learning Multiple Tasks over Multiple Paths. CoRR Yingcong Li, Samet Oymak
2023	A*	`conf`	Stochastic Contextual Bandits with Long Horizon Rewards. AAAI Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
2023	J	`jnl`	Stochastic Contextual Bandits with Long Horizon Rewards. CoRR Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
2023	—	`conf`	Text-to-3D Generative AI on Mobile Devices: Measurements and Optimizations. EMS@SIGCOMM Xuechen Zhang, Zheng Li, Samet Oymak, Jiasi Chen
2023	J	`jnl`	Transformers as Algorithms: Generalization and Implicit Model Selection in In-context Learning. CoRR Yingcong Li, Muhammed Emrullah Ildiz, Dimitris S. Papailiopoulos, Samet Oymak
2023	A*	`conf`	Transformers as Algorithms: Generalization and Stability in In-context Learning. ICML Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak
2023	J	`jnl`	Transformers as Support Vector Machines. CoRR Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak
2022	J	`jnl`	AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
2022	C	`conf`	Certainty Equivalent Quadratic Control for Markov Jump Systems. ACC Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Samet Oymak, Laura Balzano, Necmiye Ozay
2022	C	`conf`	Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds. ACC Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
2022	J	`jnl`	FEDNEST: Federated Bilevel, Minimax, and Compositional Optimization. CoRR Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
2022	A*	`conf`	FedNest: Federated Bilevel, Minimax, and Compositional Optimization. ICML Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
2022	—	`conf`	Finite Sample Identification of Bilinear Dynamical Systems. CDC Yahya Sattar, Samet Oymak, Necmiye Ozay
2022	J	`jnl`	Finite Sample Identification of Bilinear Dynamical Systems. CoRR Yahya Sattar, Samet Oymak, Necmiye Ozay
2022	J	`jnl`	Non-Stationary Representation Learning in Sequential Linear Bandits. CoRR Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti
2022	J	`jnl`	Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems. J. Mach. Learn. Res. Yahya Sattar, Samet Oymak
2022	J	`jnl`	Provable and Efficient Continual Representation Learning. CoRR Yingcong Li, Mingchen Li, M. Salman Asif, Samet Oymak
2022	C	`conf`	Representation Learning for Context-Dependent Decision-Making. ACC Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti
2022	J	`jnl`	Representation Learning for Context-Dependent Decision-Making. CoRR Yuzhen Qin, Tommaso Menara, Samet Oymak, ShiNung Ching, Fabio Pasqualetti
2022	J	`jnl`	Revisiting Ho-Kalman-Based System Identification: Robustness and Finite-Sample Analysis. IEEE Trans. Autom. Control. Samet Oymak, Necmiye Ozay
2022	J	`jnl`	System Identification via Nuclear Norm Regularization. CoRR Yue Sun, Samet Oymak, Maryam Fazel
2022	J	`jnl`	Towards Sample-efficient Overparameterized Meta-learning. CoRR Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
2021	A	`conf`	A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models. AISTATS Samet Oymak, Talha Cihad Gulcu
2021	—	`conf`	A-GWR: Fast and Accurate Geospatial Inference via Augmented Geographically Weighted Regression. SIGSPATIAL/GIS Mohammad Reza Shahneh, Samet Oymak, Amr Magdy
2021	A*	`conf`	AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
2021	J	`jnl`	Certainty Equivalent Quadratic Control for Markov Jump Systems. CoRR Zhe Du, Yahya Sattar, Davoud Ataee Tarzanagh, Laura Balzano, Samet Oymak, Necmiye Ozay
2021	A*	`conf`	Generalization Guarantees for Neural Architecture Search with Train-Validation Split. ICML Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi
2021	J	`jnl`	Generalization Guarantees for Neural Architecture Search with Train-Validation Split. CoRR Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi
2021	J	`jnl`	Generating Predictable and Adaptive Dialog Policies in Single- and Multi-domain Goal-oriented Dialog Systems. Int. J. Semantic Comput. Nhat X. T. Le, A. B. Siddique, Fuad T. Jamour, Samet Oymak, Vagelis Hristidis
2021	J	`jnl`	Identification and Adaptive Control of Markov Jump Systems: Sample Complexity and Regret Bounds. CoRR Yahya Sattar, Zhe Du, Davoud Ataee Tarzanagh, Laura Balzano, Necmiye Ozay, Samet Oymak
2021	A*	`conf`	Label-Imbalanced and Group-Sensitive Classification under Overparameterization. NeurIPS Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis
2021	J	`jnl`	Label-Imbalanced and Group-Sensitive Classification under Overparameterization. CoRR Ganesh Ramachandra Kini, Orestis Paraskevas, Samet Oymak, Christos Thrampoulidis
2021	—	`conf`	Matrix Profile Index Approximation for Streaming Time Series. IEEE BigData Maryam Shahcheraghi, Trevor Cappon, Samet Oymak, Evangelos E. Papalexakis, Eamonn J. Keogh, Zachary Zimmerman, Philip Brisk
2021	Misc	`conf`	On the Marginal Benefit of Active Learning: Does Self-Supervision Eat its Cake? ICASSP Yao-Chun Chan, Mingchen Li, Samet Oymak
2021	J	`jnl`	Post-hoc Models for Performance Estimation of Machine Learning Inference. CoRR Xuechen Zhang, Samet Oymak, Jiasi Chen
2021	—	`conf`	Predictable and Adaptive Goal-oriented Dialog Policy Generation. ICSC Nhat X. T. Le, A. B. Siddique, Fuad T. Jamour, Samet Oymak, Vagelis Hristidis
2021	A*	`conf`	Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. AAAI Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
2021	J	`jnl`	Provable Super-Convergence With a Large Cyclical Learning Rate. IEEE Signal Process. Lett. Samet Oymak
2021	Misc	`conf`	Sample Efficient Subspace-Based Representations for Nonlinear Meta-Learning. ICASSP Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel
2021	J	`jnl`	Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning. CoRR Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel
2021	J	`jnl`	Super-Convergence with an Unstable Learning Rate. CoRR Samet Oymak
2021	A*	`conf`	Towards Sample-efficient Overparameterized Meta-learning. NeurIPS Yue Sun, Adhyyan Narang, Halil Ibrahim Gulluk, Samet Oymak, Maryam Fazel
2021	A*	`conf`	Unsupervised Multi-Source Domain Adaptation Without Access to Source Data. CVPR Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul, Samet Oymak, Amit K. Roy-Chowdhury
2021	J	`jnl`	Unsupervised Multi-source Domain Adaptation Without Access to Source Data. CoRR Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul, Samet Oymak, Amit K. Roy-Chowdhury
2020	J	`jnl`	Exploring Weight Importance and Hessian Bias in Model Pruning. CoRR Mingchen Li, Yahya Sattar, Christos Thrampoulidis, Samet Oymak
2020	Misc	`conf`	Exploring the Role of Loss Functions in Multiclass Classification. CISS Ahmet Demirkaya, Jiasi Chen, Samet Oymak
2020	—	`conf`	Finite Sample System Identification: Optimal Rates and the Role of Regularization. L4DC Yue Sun, Samet Oymak, Maryam Fazel
2020	A	`conf`	Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. AISTATS Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak
2020	J	`jnl`	Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems. CoRR Yahya Sattar, Samet Oymak
2020	J	`jnl`	On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake? CoRR Yao-Chun Chan, Mingchen Li, Samet Oymak
2020	J	`jnl`	On the Role of Dataset Quality and Heterogeneity in Model Confidence. CoRR Yuan Zhao, Jiasi Chen, Samet Oymak
2020	J	`jnl`	Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. CoRR Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
2020	J	`jnl`	Quickly Finding the Best Linear Model in High Dimensions via Projected Gradient Descent. IEEE Trans. Signal Process. Yahya Sattar, Samet Oymak
2020	J	`jnl`	Statistical and Algorithmic Insights for Semi-supervised Learning with Self-training. CoRR Samet Oymak, Talha Cihad Gulcu
2020	A*	`conf`	Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. NeurIPS Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
2020	J	`jnl`	Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View. CoRR Christos Thrampoulidis, Samet Oymak, Mahdi Soltanolkotabi
2020	J	`jnl`	Toward Moderate Overparameterization: Global Convergence Guarantees for Training Shallow Neural Networks. IEEE J. Sel. Areas Inf. Theory Samet Oymak, Mahdi Soltanolkotabi
2020	A*	`conf`	Unsupervised Paraphrasing via Deep Reinforcement Learning. KDD A. B. Siddique, Samet Oymak, Vagelis Hristidis
2020	J	`jnl`	Unsupervised Paraphrasing via Deep Reinforcement Learning. CoRR A. B. Siddique, Samet Oymak, Vagelis Hristidis
2020	A	`conf`	WOLT: Auto-Configuration of Integrated Enterprise PLC-WiFi Networks. ICDCS Hisham Alhulayyil, Kittipat Apicharttrisorn, Jiasi Chen, Karthikeyan Sundaresan, Samet Oymak, Srikanth V. Krishnamurthy
2019	—	`conf`	A Simple Framework for Learning Stabilizable Systems. CAMSAP Yahya Sattar, Samet Oymak
2019	Misc	`conf`	Exactly Decoding a Vector through Relu Activation. ICASSP Samet Oymak, M. Salman Asif
2019	J	`jnl`	Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian. CoRR Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi
2019	Misc	`conf`	Generalization, Adaptation and Low-Rank Representation in Neural Networks. ACSSC Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi
2019	J	`jnl`	Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. CoRR Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak
2019	B	`conf`	Learning Feature Nonlinearities with Regularized Binned Regression. ISIT Samet Oymak, Mehrdad Mahdavi, Jiasi Chen
2019	A*	`conf`	Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile. ICDM Zachary Zimmerman, Nader Shakibay Senobari, Gareth J. Funning, Evangelos E. Papalexakis, Samet Oymak, Philip Brisk, Eamonn J. Keogh
2019	C	`conf`	Non-asymptotic Identification of LTI Systems from a Single Trajectory. ACC Samet Oymak, Necmiye Ozay
2019	A*	`conf`	Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? ICML Samet Oymak, Mahdi Soltanolkotabi
2019	J	`jnl`	Quickly Finding the Best Linear Model in High Dimensions. CoRR Yahya Sattar, Samet Oymak
2019	A*	`conf`	Stochastic Gradient Descent Learns State Equations with Nonlinear Activations. COLT Samet Oymak
2019	J	`jnl`	Towards moderate overparameterization: global convergence guarantees for training shallow neural networks. CoRR Samet Oymak, Mahdi Soltanolkotabi
2018	J	`jnl`	End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition. CoRR Samet Oymak, Mahdi Soltanolkotabi
2018	J	`jnl`	High Dimensional Data Enrichment: Interpretable, Fast, and Data-Efficient. CoRR Amir Asiaee T., Samet Oymak, Kevin R. Coombes, Arindam Banerjee
2018	A*	`conf`	Learning Compact Neural Networks with Regularization. ICML Samet Oymak
2018	J	`jnl`	Learning Compact Neural Networks with Regularization. CoRR Samet Oymak
2018	J	`jnl`	Non-asymptotic Identification of LTI Systems from a Single Trajectory. CoRR Samet Oymak, Necmiye Ozay
2018	J	`jnl`	Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? CoRR Samet Oymak, Mahdi Soltanolkotabi
2018	J	`jnl`	Sharp Time-Data Tradeoffs for Linear Inverse Problems. IEEE Trans. Inf. Theory Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi
2018	J	`jnl`	Stochastic Gradient Descent Learns State Equations with Nonlinear Activations. CoRR Samet Oymak
2017	J	`jnl`	Fast and Reliable Parameter Estimation from Nonlinear Observations. SIAM J. Optim. Samet Oymak, Mahdi Soltanolkotabi
2017	J	`jnl`	Learning Feature Nonlinearities with Non-Convex Regularized Binned Regression. CoRR Samet Oymak, Mehrdad Mahdavi, Jiasi Chen
2017	Misc	`conf`	Near-optimal sample complexity bounds for circulant binary embedding. ICASSP Samet Oymak, Christos Thrampoulidis, Babak Hassibi
2017	J	`jnl`	Sparse Phase Retrieval: Uniqueness Guarantees and Recovery Algorithms. IEEE Trans. Signal Process. Kishore Jaganathan, Samet Oymak, Babak Hassibi
2016	J	`jnl`	Fast and Reliable Parameter Estimation from Nonlinear Observations. CoRR Samet Oymak, Mahdi Soltanolkotabi
2016	J	`jnl`	Near-Optimal Sample Complexity Bounds for Circulant Binary Embedding. CoRR Samet Oymak
2016	J	`jnl`	Sharp MSE Bounds for Proximal Denoising. Found. Comput. Math. Samet Oymak, Babak Hassibi
2015	J	`jnl`	Isometric sketching of any set via the Restricted Isometry Property. CoRR Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi
2015	J	`jnl`	Near-Optimal Bounds for Binary Embeddings of Arbitrary Sets. CoRR Samet Oymak, Ben Recht
2015	—	`conf`	Parallel Correlation Clustering on Big Graphs. NIPS Xinghao Pan, Dimitris S. Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2015	J	`jnl`	Parallel Correlation Clustering on Big Graphs. CoRR Xinghao Pan, Dimitris S. Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2015	A*	`conf`	Regularized Linear Regression: A Precise Analysis of the Estimation Error. COLT Christos Thrampoulidis, Samet Oymak, Babak Hassibi
2015	J	`jnl`	Sharp Time-Data Tradeoffs for Linear Inverse Problems. CoRR Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi
2015	J	`jnl`	Simultaneously Structured Models With Application to Sparse and Low-Rank Matrices. IEEE Trans. Inf. Theory Samet Oymak, Amin Jalali, Maryam Fazel, Yonina C. Eldar, Babak Hassibi
2015	Misc	`conf`	The proportional mean decomposition: A bridge between the Gaussian and bernoulli ensembles. ICASSP Samet Oymak, Babak Hassibi
2015	J	`jnl`	Universality laws for randomized dimension reduction, with applications. CoRR Samet Oymak, Joel A. Tropp
2014	J	`jnl`	A Tight Version of the Gaussian min-max theorem in the Presence of Convexity. CoRR Christos Thrampoulidis, Samet Oymak, Babak Hassibi
2014	B	`conf`	A case for orthogonal measurements in linear inverse problems. ISIT Samet Oymak, Babak Hassibi
2014	—	`conf`	Graph Clustering With Missing Data: Convex Algorithms and Analysis. NIPS Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi
2014	Misc	`conf`	Sharp performance bounds for graph clustering via convex optimization. ICASSP Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi
2014	J	`jnl`	Simple Error Bounds for Regularized Noisy Linear Inverse Problems. CoRR Christos Thrampoulidis, Samet Oymak, Babak Hassibi
2014	B	`conf`	Simple error bounds for regularized noisy linear inverse problems. ISIT Christos Thrampoulidis, Samet Oymak, Babak Hassibi
2013	J	`jnl`	Asymptotically Exact Denoising in Relation to Compressed Sensing CoRR Samet Oymak, Babak Hassibi
2013	—	`conf`	Noisy estimation of simultaneously structured models: Limitations of convex relaxation. CDC Samet Oymak, Amin Jalali, Maryam Fazel, Babak Hassibi
2013	J	`jnl`	Simple Bounds for Noisy Linear Inverse Problems with Exact Side Information. CoRR Samet Oymak, Christos Thrampoulidis, Babak Hassibi
2013	J	`jnl`	Sparse Phase Retrieval: Convex Algorithms and Limitations CoRR Kishore Jaganathan, Samet Oymak, Babak Hassibi
2013	J	`jnl`	Sparse Phase Retrieval: Uniqueness Guarantees and Recovery Algorithms. CoRR Kishore Jaganathan, Samet Oymak, Babak Hassibi
2013	B	`conf`	Sparse phase retrieval: Convex algorithms and limitations. ISIT Kishore Jaganathan, Samet Oymak, Babak Hassibi
2013	J	`jnl`	The Squared-Error of Generalized LASSO: A Precise Analysis. CoRR Samet Oymak, Christos Thrampoulidis, Babak Hassibi
2013	—	`conf`	The squared-error of generalized LASSO: A precise analysis. Allerton Samet Oymak, Christos Thrampoulidis, Babak Hassibi
2012	Misc	`conf`	A simpler approach to weighted ℓ1 minimization. ICASSP Anilesh K. Krishnaswamy, Samet Oymak, Babak Hassibi
2012	Misc	`conf`	Deterministic phase guarantees for robust recovery in incoherent dictionaries. ICASSP Cheuk Ting Li, Samet Oymak, Babak Hassibi
2012	—	`conf`	On a relation between the minimax risk and the phase transitions of compressed recovery. Allerton Conference Samet Oymak, Babak Hassibi
2012	—	`conf`	On robust phase retrieval for sparse signals. Allerton Conference Kishore Jaganathan, Samet Oymak, Babak Hassibi
2012	Misc	`conf`	Phase retrieval for sparse signals using rank minimization. ICASSP Kishore Jaganathan, Samet Oymak, Babak Hassibi
2012	J	`jnl`	Recovering Jointly Sparse Signals via Joint Basis Pursuit CoRR Samet Oymak, Babak Hassibi
2012	J	`jnl`	Recovery of Sparse 1-D Signals from the Magnitudes of their Fourier Transform CoRR Kishore Jaganathan, Samet Oymak, Babak Hassibi
2012	B	`conf`	Recovery of sparse 1-D signals from the magnitudes of their Fourier transform. ISIT Kishore Jaganathan, Samet Oymak, Babak Hassibi
2012	B	`conf`	Recovery threshold for optimal weight ℓ1 minimization. ISIT Samet Oymak, M. Amin Khajehnejad, Babak Hassibi
2012	J	`jnl`	Simultaneously Structured Models with Application to Sparse and Low-rank Matrices CoRR Samet Oymak, Amin Jalali, Maryam Fazel, Yonina C. Eldar, Babak Hassibi
2011	J	`jnl`	A Simplified Approach to Recovery Conditions for Low Rank Matrices CoRR Samet Oymak, Karthik Mohan, Maryam Fazel, Babak Hassibi
2011	B	`conf`	A simplified approach to recovery conditions for low rank matrices. ISIT Samet Oymak, Karthik Mohan, Maryam Fazel, Babak Hassibi
2011	J	`jnl`	Finding Dense Clusters via "Low Rank + Sparse" Decomposition CoRR Samet Oymak, Babak Hassibi
2011	Misc	`conf`	Improved thresholds for rank minimization. ICASSP Samet Oymak, M. Amin Khajehnejad, Babak Hassibi
2011	J	`jnl`	Subspace Expanders and Matrix Rank Minimization CoRR M. Amin Khajehnejad, Samet Oymak, Babak Hassibi
2011	B	`conf`	Subspace expanders and matrix rank minimization. ISIT Samet Oymak, M. Amin Khajehnejad, Babak Hassibi
2011	B	`conf`	Tight recovery thresholds and robustness analysis for nuclear norm minimization. ISIT Samet Oymak, Babak Hassibi
2011	Misc	`conf`	Weighted compressed sensing and rank minimization. ICASSP Samet Oymak, M. Amin Khajehnejad, Babak Hassibi
2010	J	`jnl`	New Null Space Results and Recovery Thresholds for Matrix Rank Minimization CoRR Samet Oymak, Babak Hassibi