Ali Caner Türkmen

31 papers A* 3A 2Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables. AISTATS Sebastian Pineda Arango, Pedro Mercado, Shubham Kapoor, Abdul Fatir Ansari, Lorenzo Stella, Huibin Shen, Hugo Senetaire, Ali Caner Türkmen, Oleksandr Shchur, Danielle C. Maddix, Michael Bohlke-Schneider, Bernie Wang, Syama Sundar Rangapuram
2025	J	`jnl`	MLZero: A Multi-Agent System for End-to-end Machine Learning Automation. CoRR Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Türkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Yuyang Wang, George Karypis
2025	—	`conf`	Multi-layer Stack Ensembles for Time Series Forecasting. AutoML Nathanael Bosch, Oleksandr Shchur, Nick Erickson, Michael Bohlke-Schneider, Ali Caner Türkmen
2024	J	`jnl`	Chronos: Learning the Language of Time Series. CoRR Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang
2024	J	`jnl`	Chronos: Learning the Language of Time Series. Trans. Mach. Learn. Res. Abdul Fatir Ansari, Lorenzo Stella, Ali Caner Türkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda-Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Hao Wang, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Bernie Wang
2023	—	`conf`	AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. AutoML Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Bernie Wang
2023	J	`jnl`	AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting. CoRR Oleksandr Shchur, Ali Caner Türkmen, Nick Erickson, Huibin Shen, Alexander Shirkov, Tony Hu, Yuyang Wang
2023	J	`jnl`	Deep Learning for Time Series Forecasting: Tutorial and Literature Survey. ACM Comput. Surv. Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Yuyang Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, François-Xavier Aubet, Laurent Callot, Tim Januschowski
2022	J	`jnl`	Dirichlet-Luce choice model for learning from interactions. User Model. User Adapt. Interact. Gökhan Çapan, Ilker Gündogdu, Ali Caner Türkmen, Ali Taylan Cemgil
2022	A	`conf`	Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies. AISTATS Lenon Minorics, Ali Caner Türkmen, David Kernert, Patrick Blöbaum, Laurent Callot, Dominik Janzing
2021	A*	`conf`	Deep Explicit Duration Switching Models for Time Series. NeurIPS Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Bernie Wang, Tim Januschowski
2021	J	`jnl`	Deep Explicit Duration Switching Models for Time Series. CoRR Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Türkmen, Harold Soh, Alexander J. Smola, Yuyang Wang, Tim Januschowski
2021	A*	`conf`	Detecting Anomalous Event Sequences with Temporal Point Processes. NeurIPS Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Jan Gasthaus, Stephan Günnemann
2021	J	`jnl`	Detecting Anomalous Event Sequences with Temporal Point Processes. CoRR Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Jan Gasthaus, Stephan Günnemann
2021	A*	`conf`	Neural Temporal Point Processes: A Review. IJCAI Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann
2021	J	`jnl`	Neural Temporal Point Processes: A Review. CoRR Oleksandr Shchur, Ali Caner Türkmen, Tim Januschowski, Stephan Günnemann
2020	J	`jnl`	Clustering Event Streams With Low Rank Hawkes Processes. IEEE Signal Process. Lett. Ali Caner Türkmen, Gökhan Çapan, Ali Taylan Cemgil
2020	—	`—`	Fast high-dimensional temporal point processes with applications (Hızlı yüksek boyutlu zamansal nokta süreçleri ve uygulamaları) Ali Caner Türkmen
2020	J	`jnl`	GluonTS: Probabilistic and Neural Time Series Modeling in Python. J. Mach. Learn. Res. Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang
2020	J	`jnl`	Intermittent Demand Forecasting with Renewal Processes. CoRR Ali Caner Türkmen, Tim Januschowski, Yuyang Wang, Ali Taylan Cemgil
2020	J	`jnl`	Neural forecasting: Introduction and literature overview. CoRR Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle C. Maddix, Ali Caner Türkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski
2019	J	`jnl`	A Bayesian Choice Model for Eliminating Feedback Loops. CoRR Gökhan Çapan, Ilker Gündogdu, Ali Caner Türkmen, Cagri Sofuoglu, Ali Taylan Cemgil
2019	—	`conf`	FastPoint: Scalable Deep Point Processes. ECML/PKDD (2) Ali Caner Türkmen, Yuyang Wang, Alexander J. Smola
2019	J	`jnl`	GluonTS: Probabilistic Time Series Models in Python. CoRR Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Sundar Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang
2019	J	`jnl`	Intermittent Demand Forecasting with Deep Renewal Processes. CoRR Ali Caner Türkmen, Yuyang Wang, Tim Januschowski
2018	—	`conf`	Testing for Self-excitation in Financial Events: A Bayesian Approach. MIDAS/PAP@PKDD/ECML Ali Caner Türkmen, Ali Taylan Cemgil
2016	—	`conf`	Sentiment extraction from financial public disclosure documents. MIDAS@PKDD/ECML Ali Caner Türkmen
2016	—	`conf`	Text classification with coupled matrix factorization. SIU Ali Caner Türkmen, Ali Taylan Cemgil
2015	J	`jnl`	A Review of Nonnegative Matrix Factorization Methods for Clustering. CoRR Ali Caner Türkmen
2015	—	`conf`	An application of deep learning for trade signal prediction in financial markets. SIU Ali Caner Türkmen, Ali Taylan Cemgil
2014	—	`conf`	Political interest and tendency prediction from microblog data. SIU Ali Caner Türkmen, Ali Taylan Cemgil