Nevena Lazic

According to our database, Nevena Lazic authored at least 32 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu

CoRR, 2023

Towards practical reinforcement learning for tokamak magnetic control.

Brendan D. Tracey, Andrea Michi, Yuri Chervonyi, Ian Davies, Cosmin Paduraru, Nevena Lazic, Federico Felici, Timo Ewalds, Craig Donner, Cristian Galperti, Jonas Buchli, Michael Neunert, Andrea Huber, Jonathan Evens, Paula Kurylowicz, Daniel J. Mankowitz, Martin A. Riedmiller, The TCV Team

CoRR, 2023

Sample Efficient Deep Reinforcement Learning via Local Planning.

Dong Yin, Sridhar Thiagarajan, Nevena Lazic, Nived Rajaraman, Botao Hao, Csaba Szepesvári

CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits.

Yasin Abbasi-Yadkori, András György, Nevena Lazic

CoRR, 2022

Efficient local planning with linear function approximation.

Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

Confident Least Square Value Iteration with Local Access to a Simulator.

Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Optimization Issues in KL-Constrained Approximate Policy Iteration.

Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári

CoRR, 2021

Improved Regret Bound and Experience Replay in Regularized Policy Iteration.

Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári

Proceedings of the 38th International Conference on Machine Learning, 2021

Adaptive Approximate Policy Iteration.

Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Neural Rate Control for Video Encoding using Imitation Learning.

Hongzi Mao, Chenjie Gu, Miaosen Wang, Angie Chen, Nevena Lazic, Nir Levine, Derek Pang, Rene Claus, Marisabel Hechtman, Ching-Han Chiang, Cheng Chen, Jingning Han

CoRR, 2020

Provably Efficient Adaptive Approximate Policy Iteration.

Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári

CoRR, 2020

A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs.

Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robotic Table Tennis with Model-Free Reinforcement Learning.

Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Exploration-Enhanced POLITEX.

Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári, Gellért Weisz

CoRR, 2019

Model-Free Linear Quadratic Control via Reduction to Expert Prediction.

Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play.

Reza Mahjourian, Navdeep Jaitly, Nevena Lazic, Sergey Levine, Risto Miikkulainen

CoRR, 2018

Regret Bounds for Model-Free Linear Quadratic Control.

Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári

CoRR, 2018

Data center cooling using model-predictive control.

Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, M. K. Ryu, Greg Imwalle

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Online Linear Quadratic Control.

Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Short and Deep: Sketching and Neural Networks.

Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Sketching and Neural Networks.

Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar

CoRR, 2016

Collective Entity Resolution with Multi-Focal Attention.

Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Plato: A Selective Context Model for Entity Resolution.

Nevena Lazic, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira

Trans. Assoc. Comput. Linguistics, 2015

Embedding Methods for Fine Grained Entity Type Classification.

Dani Yogatama, Daniel Gillick, Nevena Lazic

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Context-Dependent Fine-Grained Entity Type Tagging.

Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh

CoRR, 2014

2013

Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables.

Nevena Lazic, Christopher M. Bishop, John M. Winn

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2010

Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms.

Nevena Lazic, Brendan J. Frey, Parham Aarabi

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009

FLoSS: Facility location for subspace segmentation.

Nevena Lazic, Inmar E. Givoni, Brendan J. Frey, Parham Aarabi

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Spoken Term Detection Using Visual Spectrogram Matching.

Nevena Lazic, Parham Aarabi

Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008

2007

Importance of Feature Locations in Bag-of-Words Image Classification.

Nevena Lazic, Parham Aarabi

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Communication Over an Acoustic Channel Using Data Hiding Techniques.

Nevena Lazic, Parham Aarabi

IEEE Trans. Multim., 2006