Tomer Lancewicki

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 12

Top Topics

Multivariate Time Series

Covariance Matrices

Top Venues

Publications

Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking. ACL (Findings) (2023)
Baohao Liao, Michael Kozielski, Sanjika Hewavitharana, Jiangbo Yuan, Shahram Khadivi, Tomer Lancewicki
ITEm: Unsupervised Image-Text Embedding Learning for eCommerce. CoRR (2023)
Iñigo Urteaga, Moulay-Zaïdane Draïdia, Tomer Lancewicki, Shahram Khadivi
Multi-armed bandits for online optimization of language model pre-training: the use case of dynamic masking. CoRR (2022)
Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer. CoRR (2021)
Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. IWSLT (2021)
Evgeniia Tokarchuk, Jan Rosendahl, Weiyue Wang, Pavel Petrushkov, Tomer Lancewicki, Shahram Khadivi, Hermann Ney
Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. CoRR (2021)
Leonard Dahlmann, Tomer Lancewicki
Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches. CoRR (2021)
Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki
Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization. KDD (2021)
Ahmed Abdulaal, Tomer Lancewicki
Real-Time Synchronization in Neural Networks for Multivariate Time Series Anomaly Detection. ICASSP (2021)
Tomer Lancewicki, Selçuk Köprü
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient-based Optimization Methods. ICASSP (2020)
Tomer Lancewicki, Selçuk Köprü
Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent. CoRR (2019)
Tomer Lancewicki
Sequential Inverse Approximation of a Regularized Sample Covariance Matrix. ICMLA (2017)
Tomer Lancewicki, Benjamin Goodrich, Itamar Arel
Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting. ICMLA (2015)
Tomer Lancewicki, Mayer Aladjem
Locally multidimensional scaling by creating neighborhoods in diffusion maps. Neurocomputing 139 (2014)
Tomer Lancewicki, Mayer Aladjem
Multi-Target Shrinkage Estimation for Covariance Matrices. IEEE Trans. Signal Process. 62 (24) (2014)