Nevena Lazic - RankMe

43 papers A* 7A 6B 1C 1Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Achieving Human Level Competitive Robot Table Tennis. ICRA 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
2025	J	`jnl`	Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence. CoRR András György, Tor Lattimore, Nevena Lazic, Csaba Szepesvári
2025	J	`jnl`	Frontier LLMs Still Struggle with Simple Reasoning Tasks. CoRR Alan Malek, Jiawei Ge, Nevena Lazic, Chi Jin, András György, Csaba Szepesvári
2024	J	`jnl`	Achieving Human Level Competitive Robot Table Tennis. CoRR 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
2023	J	`jnl`	A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits. J. Mach. Learn. Res. Yasin Abbasi-Yadkori, András György, Nevena Lazic
2023	—	`conf`	Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 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
2023	J	`jnl`	Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR 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
2023	J	`jnl`	Sample Efficient Deep Reinforcement Learning via Local Planning. CoRR Dong Yin, Sridhar Thiagarajan, Nevena Lazic, Nived Rajaraman, Botao Hao, Csaba Szepesvári
2023	J	`jnl`	Towards practical reinforcement learning for tokamak magnetic control. CoRR 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, TCV Team
2022	J	`jnl`	A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits. CoRR Yasin Abbasi-Yadkori, András György, Nevena Lazic
2022	A	`conf`	Confident Least Square Value Iteration with Local Access to a Simulator. AISTATS Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
2022	B	`conf`	Efficient local planning with linear function approximation. ALT Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
2021	A	`conf`	Adaptive Approximate Policy Iteration. AISTATS Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári
2021	J	`jnl`	Efficient Local Planning with Linear Function Approximation. CoRR Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
2021	A*	`conf`	Improved Regret Bound and Experience Replay in Regularized Policy Iteration. ICML Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
2021	J	`jnl`	Improved Regret Bound and Experience Replay in Regularized Policy Iteration. CoRR Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvári
2021	J	`jnl`	Optimization Issues in KL-Constrained Approximate Policy Iteration. CoRR Nevena Lazic, Botao Hao, Yasin Abbasi-Yadkori, Dale Schuurmans, Csaba Szepesvári
2020	A*	`conf`	A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs. NeurIPS Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
2020	J	`jnl`	A maximum-entropy approach to off-policy evaluation in average-reward MDPs. CoRR Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Görür, Chris Harris, Dale Schuurmans
2020	J	`jnl`	Neural Rate Control for Video Encoding using Imitation Learning. CoRR 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
2020	J	`jnl`	Provably Efficient Adaptive Approximate Policy Iteration. CoRR Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvári
2020	A	`conf`	Robotic Table Tennis with Model-Free Reinforcement Learning. IROS Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2020	J	`jnl`	Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2019	J	`jnl`	Exploration-Enhanced POLITEX. CoRR Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári, Gellért Weisz
2019	A	`conf`	Model-Free Linear Quadratic Control via Reduction to Expert Prediction. AISTATS Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
2019	A*	`conf`	POLITEX: Regret Bounds for Policy Iteration using Expert Prediction. ICML Yasin Abbasi-Yadkori, Peter L. Bartlett, Kush Bhatia, Nevena Lazic, Csaba Szepesvári, Gellért Weisz
2018	A*	`conf`	Data center cooling using model-predictive control. NeurIPS Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, M. K. Ryu, Greg Imwalle
2018	J	`jnl`	Hierarchical Policy Design for Sample-Efficient Learning of Robot Table Tennis Through Self-Play. CoRR Reza Mahjourian, Navdeep Jaitly, Nevena Lazic, Sergey Levine, Risto Miikkulainen
2018	A*	`conf`	Online Linear Quadratic Control. ICML Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
2018	J	`jnl`	Online Linear Quadratic Control. CoRR Alon Cohen, Avinatan Hassidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar
2018	J	`jnl`	Regret Bounds for Model-Free Linear Quadratic Control. CoRR Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári
2017	—	`conf`	Short and Deep: Sketching and Neural Networks. ICLR (Workshop) Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar
2016	—	`conf`	Collective Entity Resolution with Multi-Focal Attention. ACL (1) Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira
2016	J	`jnl`	Sketching and Neural Networks. CoRR Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar
2015	—	`conf`	Embedding Methods for Fine Grained Entity Type Classification. ACL (2) Dani Yogatama, Daniel Gillick, Nevena Lazic
2015	J	`jnl`	Plato: A Selective Context Model for Entity Resolution. Trans. Assoc. Comput. Linguistics Nevena Lazic, Amarnag Subramanya, Michael Ringgaard, Fernando Pereira
2014	J	`jnl`	Context-Dependent Fine-Grained Entity Type Tagging. CoRR Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh
2013	A	`conf`	Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables. AISTATS Nevena Lazic, Christopher M. Bishop, John M. Winn
2010	A	`conf`	Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms. AISTATS Nevena Lazic, Brendan J. Frey, Parham Aarabi
2009	A*	`conf`	FLoSS: Facility location for subspace segmentation. ICCV Nevena Lazic, Inmar E. Givoni, Brendan J. Frey, Parham Aarabi
2008	C	`conf`	Spoken Term Detection Using Visual Spectrogram Matching. ISM Nevena Lazic, Parham Aarabi
2007	—	`conf`	Importance of Feature Locations in Bag-of-Words Image Classification. ICASSP (1) Nevena Lazic, Parham Aarabi
2006	J	`jnl`	Communication Over an Acoustic Channel Using Data Hiding Techniques. IEEE Trans. Multim. Nevena Lazic, Parham Aarabi