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ORCIDNevena Lazic
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Journal Articles
- 2023
[j3]Yasin Abbasi-Yadkori, András György, Nevena Lazic:
A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits. J. Mach. Learn. Res. 24: 288:1-288:37 (2023)- 2015
- [j2]Nevena Lazic, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira:
Plato: A Selective Context Model for Entity Resolution. Trans. Assoc. Comput. Linguistics 3: 503-515 (2015) - 2006
- [j1]Nevena Lazic, Parham Aarabi:
Communication Over an Acoustic Channel Using Data Hiding Techniques. IEEE Trans. Multim. 8(5): 918-924 (2006)
Conference and Workshop Papers
- 2023
- [c19]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 - 2022
- [c18]Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári:
Confident Least Square Value Iteration with Local Access to a Simulator. AISTATS 2022: 2420-2435 - [c17]Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári:
Efficient local planning with linear function approximation. ALT 2022: 1165-1192 - 2021
- [c16]Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári:
Adaptive Approximate Policy Iteration. AISTATS 2021: 523-531 - [c15]Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári:
Improved Regret Bound and Experience Replay in Regularized Policy Iteration. ICML 2021: 6032-6042 - 2020
- [c14]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: 5556-5563 - [c13]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 - 2019
- [c12]Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári:
Model-Free Linear Quadratic Control via Reduction to Expert Prediction. AISTATS 2019: 3108-3117 - [c11]Yasin Abbasi-Yadkori, Peter L. Bartlett, Kush Bhatia, Nevena Lazic, Csaba Szepesvári, Gellért Weisz:
POLITEX: Regret Bounds for Policy Iteration using Expert Prediction. ICML 2019: 3692-3702 - 2018
- [c10]Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar:
Online Linear Quadratic Control. ICML 2018: 1028-1037 - [c9]Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, M. K. Ryu, Greg Imwalle:
Data center cooling using model-predictive control. NeurIPS 2018: 3818-3827 - 2017
- [c8]Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar:
Short and Deep: Sketching and Neural Networks. ICLR (Workshop) 2017 - 2016
- [c7]Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira:
Collective Entity Resolution with Multi-Focal Attention. ACL (1) 2016 - 2015
- [c6]Dani Yogatama, Daniel Gillick, Nevena Lazic:
Embedding Methods for Fine Grained Entity Type Classification. ACL (2) 2015: 291-296 - 2013
- [c5]Nevena Lazic, Christopher M. Bishop, John M. Winn:
Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables. AISTATS 2013: 379-387 - 2010
- [c4]Nevena Lazic, Brendan J. Frey, Parham Aarabi:
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms. AISTATS 2010: 429-436 - 2009
- [c3]Nevena Lazic, Inmar E. Givoni, Brendan J. Frey, Parham Aarabi:
FLoSS: Facility location for subspace segmentation. ICCV 2009: 825-832 - 2008
- [c2]Nevena Lazic, Parham Aarabi:
Spoken Term Detection Using Visual Spectrogram Matching. ISM 2008: 637-642 - 2007
- [c1]Nevena Lazic, Parham Aarabi:
Importance of Feature Locations in Bag-of-Words Image Classification. ICASSP (1) 2007: 641-644
Informal and Other Publications
- 2024
- [i18]David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, Pannag R. Sanketi:
Achieving Human Level Competitive Robot Table Tennis. CoRR abs/2408.03906 (2024) - 2023
- [i17]Dong Yin, Sridhar Thiagarajan, Nevena Lazic, Nived Rajaraman, Botao Hao, Csaba Szepesvári:
Sample Efficient Deep Reinforcement Learning via Local Planning. CoRR abs/2301.12579 (2023) - [i16]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 abs/2307.11546 (2023) - [i15]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 abs/2309.03315 (2023) - 2022
- [i14]Yasin Abbasi-Yadkori, András György, Nevena Lazic:
A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits. CoRR abs/2201.06532 (2022) - 2021
- [i13]Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári:
Optimization Issues in KL-Constrained Approximate Policy Iteration. CoRR abs/2102.06234 (2021) - [i12]Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári:
Improved Regret Bound and Experience Replay in Regularized Policy Iteration. CoRR abs/2102.12611 (2021) - [i11]Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári:
Efficient Local Planning with Linear Function Approximation. CoRR abs/2108.05533 (2021) - 2020
- [i10]Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári:
Provably Efficient Adaptive Approximate Policy Iteration. CoRR abs/2002.03069 (2020) - [i9]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 abs/2003.14398 (2020) - [i8]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 abs/2006.12620 (2020) - [i7]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 abs/2012.05339 (2020) - 2019
- [i6]Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári, Gellért Weisz:
Exploration-Enhanced POLITEX. CoRR abs/1908.10479 (2019) - 2018
- [i5]Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári:
Regret Bounds for Model-Free Linear Quadratic Control. CoRR abs/1804.06021 (2018) - [i4]Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar:
Online Linear Quadratic Control. CoRR abs/1806.07104 (2018) - [i3]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 abs/1811.12927 (2018) - 2016
- [i2]Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar:
Sketching and Neural Networks. CoRR abs/1604.05753 (2016) - 2014
- [i1]Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh:
Context-Dependent Fine-Grained Entity Type Tagging. CoRR abs/1412.1820 (2014)
Coauthor Index
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