Nevena Lazic

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 28

Top Topics

Policy Iteration

Reinforcement Learning

Linear Quadratic

Top Venues

Publications

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
Towards practical reinforcement learning for tokamak magnetic control. CoRR (2023)
Dong Yin, Sridhar Thiagarajan, Nevena Lazic, Nived Rajaraman, Botao Hao, Csaba Szepesvári
Sample Efficient Deep Reinforcement Learning via Local Planning. CoRR (2023)
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
Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR (2023)
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
Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems (2023)
Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
Confident Least Square Value Iteration with Local Access to a Simulator. AISTATS (2022)
Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
Efficient local planning with linear function approximation. ALT (2022)
Yasin Abbasi-Yadkori, András György, Nevena Lazic
A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits. CoRR (2022)
Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári
Adaptive Approximate Policy Iteration. AISTATS (2021)
Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
Improved Regret Bound and Experience Replay in Regularized Policy Iteration. ICML (2021)
Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári
Optimization Issues in KL-Constrained Approximate Policy Iteration. CoRR (2021)
Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
Efficient Local Planning with Linear Function Approximation. CoRR (2021)
Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
Improved Regret Bound and Experience Replay in Regularized Policy Iteration. CoRR (2021)
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
Neural Rate Control for Video Encoding using Imitation Learning. CoRR (2020)
Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
A maximum-entropy approach to off-policy evaluation in average-reward MDPs. CoRR (2020)
Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári
Provably Efficient Adaptive Approximate Policy Iteration. CoRR (2020)
Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
Robotic Table Tennis with Model-Free Reinforcement Learning. IROS (2020)
Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR (2020)
Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs. NeurIPS (2020)
Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
Model-Free Linear Quadratic Control via Reduction to Expert Prediction. AISTATS (2019)
Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári, Gellért Weisz
Exploration-Enhanced POLITEX. CoRR (2019)
Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
Regret Bounds for Model-Free Linear Quadratic Control. CoRR (2018)
Reza Mahjourian, Navdeep Jaitly, Nevena Lazic, Sergey Levine, Risto Miikkulainen
Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play. CoRR (2018)
Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
Online Linear Quadratic Control. CoRR (2018)
Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
Online Linear Quadratic Control. ICML (2018)
Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, M. K. Ryu, Greg Imwalle
Data center cooling using model-predictive control. NeurIPS (2018)
Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar
Short and Deep: Sketching and Neural Networks. ICLR (Workshop) (2017)
Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira
Collective Entity Resolution with Multi-Focal Attention. ACL (1) (2016)
Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar
Sketching and Neural Networks. CoRR (2016)
Dani Yogatama, Daniel Gillick, Nevena Lazic
Embedding Methods for Fine Grained Entity Type Classification. ACL (2) (2015)
Nevena Lazic, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira
Plato: A Selective Context Model for Entity Resolution. Trans. Assoc. Comput. Linguistics 3 (2015)
Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh
Context-Dependent Fine-Grained Entity Type Tagging. CoRR (2014)
Nevena Lazic, Christopher M. Bishop, John M. Winn
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables. AISTATS (2013)
Nevena Lazic, Brendan J. Frey, Parham Aarabi
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms. AISTATS (2010)
Nevena Lazic, Inmar E. Givoni, Brendan J. Frey, Parham Aarabi
FLoSS: Facility location for subspace segmentation. ICCV (2009)
Nevena Lazic, Parham Aarabi
Spoken Term Detection Using Visual Spectrogram Matching. ISM (2008)
Nevena Lazic, Parham Aarabi
Importance of Feature Locations in Bag-of-Words Image Classification. ICASSP (1) (2007)
Nevena Lazic, Parham Aarabi
Communication Over an Acoustic Channel Using Data Hiding Techniques. IEEE Trans. Multim. 8 (5) (2006)