Locally multidimensional scaling by creating neighborhoods in diffusion maps. - Tomer Lancewicki; Mayer E. Aladjem (Neurocomputing, 2014)

Multi-Target Shrinkage Estimation for Covariance Matrices. - Tomer Lancewicki; Mayer E. Aladjem (IEEE Trans. Signal Process., 2014)

Sequential Covariance-Matrix Estimation with Application to Mitigating Catastrophic Forgetting. - Tomer Lancewicki; Benjamin Goodrich; Itamar Arel (ICMLA, 2015)

Sequential Inverse Approximation of a Regularized Sample Covariance Matrix. - Tomer Lancewicki (ICMLA, 2017)

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent. - Tomer Lancewicki; Selçuk Köprü (CoRR, 2019)

Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient-based Optimization Methods. - Tomer Lancewicki; Selçuk Köprü (ICASSP, 2020)

Real-Time Synchronization in Neural Networks for Multivariate Time Series Anomaly Detection. - Ahmed Abdulaal; Tomer Lancewicki (ICASSP, 2021)

Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer. - Evgeniia Tokarchuk; Jan Rosendahl; Weiyue Wang 001; Pavel Petrushkov; Tomer Lancewicki; Shahram Khadivi; Hermann Ney (IWSLT, 2021)

Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization. - Ahmed Abdulaal; Zhuanghua Liu; Tomer Lancewicki (KDD, 2021)

Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches. - Leonard Dahlmann; Tomer Lancewicki (CoRR, 2021)

Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer. - Evgeniia Tokarchuk; Jan Rosendahl; Weiyue Wang 001; Pavel Petrushkov; Tomer Lancewicki; Shahram Khadivi; Hermann Ney (CoRR, 2021)

Multi-armed bandits for online optimization of language model pre-training: the use case of dynamic masking. - Iñigo Urteaga; Moulay-Zaïdane Draïdia; Tomer Lancewicki; Shahram Khadivi (CoRR, 2022)

Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking. - Iñigo Urteaga; Moulay-Zaïdane Draïdia; Tomer Lancewicki; Shahram Khadivi (ACL (Findings), 2023)

ITEm: Unsupervised Image-Text Embedding Learning for eCommerce. - Baohao Liao; Michael Kozielski; Sanjika Hewavitharana; Jiangbo Yuan; Shahram Khadivi; Tomer Lancewicki (CoRR, 2023)