Lazic, Nevena

15 publications

ICLRW 2025 Achieving Human Level Competitive Robot Table Tennis David B D'Ambrosio, Saminda Wishwajith Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Marcin 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

JMLR 2023 A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits Yasin Abbasi-Yadkori, András György, Nevena Lazić

AISTATS 2022 Confident Least Square Value Iteration with Local Access to a Simulator Botao Hao, Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvari

ALT 2022 Efficient Local Planning with Linear Function Approximation Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazić, Csaba Szepesvári

AISTATS 2021 Adaptive Approximate Policy Iteration Botao Hao, Nevena Lazic, Yasin Abbasi-Yadkori, Pooria Joulani, Csaba Szepesvari

ICML 2021 Improved Regret Bound and Experience Replay in Regularized Policy Iteration Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori, Csaba Szepesvari

NeurIPS 2020 A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs Nevena Lazic, Dong Yin, Mehrdad Farajtabar, Nir Levine, Dilan Gorur, Chris Harris, Dale Schuurmans

AISTATS 2019 Model-Free Linear Quadratic Control via Reduction to Expert Prediction Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvari

ICML 2019 POLITEX: Regret Bounds for Policy Iteration Using Expert Prediction Yasin Abbasi-Yadkori, Peter Bartlett, Kush Bhatia, Nevena Lazic, Csaba Szepesvari, Gellert Weisz

NeurIPS 2018 Data Center Cooling Using Model-Predictive Control Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, Mk Ryu, Greg Imwalle

ICML 2018 Online Linear Quadratic Control Alon Cohen, Avinatan Hasidim, Tomer Koren, Nevena Lazic, Yishay Mansour, Kunal Talwar

ICLR 2017 Short and Deep: Sketching and Neural Networks Amit Daniely, Nevena Lazic, Yoram Singer, Kunal Talwar

AISTATS 2013 Structural Expectation Propagation (SEP): Bayesian Structure Learning for Networks with Latent Variables Nevena Lazic, Christopher M. Bishop, John M. Winn

AISTATS 2010 Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms Nevena Lazic, Brendan Frey, Parham Aarabi

ICCV 2009 FLoSS: Facility Location for Subspace Segmentation Nevena Lazic, Inmar E. Givoni, Brendan J. Frey, Parham Aarabi