Communication Over an Acoustic Channel Using Data Hiding Techniques. - Nevena Lazic; Parham Aarabi (IEEE Trans. Multim., 2006)

Importance of Feature Locations in Bag-of-Words Image Classification. - Nevena Lazic; Parham Aarabi (ICASSP (1), 2007)

Spoken Term Detection Using Visual Spectrogram Matching. - Nevena Lazic; Parham Aarabi (ISM, 2008)

FLoSS: Facility location for subspace segmentation. - Nevena Lazic; Inmar E. Givoni; Brendan J. Frey; Parham Aarabi (ICCV, 2009)

Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms. - Nevena Lazic; Brendan J. Frey; Parham Aarabi (AISTATS, 2010)

Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables. - Nevena Lazic; Christopher M. Bishop; John M. Winn (AISTATS, 2013)

Context-Dependent Fine-Grained Entity Type Tagging. - Dan Gillick; Nevena Lazic; Kuzman Ganchev; Jesse Kirchner; David Huynh (CoRR, 2014)

Embedding Methods for Fine Grained Entity Type Classification. - Dani Yogatama; Daniel Gillick; Nevena Lazic (ACL (2), 2015)

Plato: A Selective Context Model for Entity Resolution. - Nevena Lazic; Amarnag Subramanya; Michael Ringgaard; Fernando Pereira 003 (Trans. Assoc. Comput. Linguistics, 2015)

Collective Entity Resolution with Multi-Focal Attention. - Amir Globerson; Nevena Lazic; Soumen Chakrabarti; Amarnag Subramanya; Michael Ringgaard; Fernando Pereira 003 (ACL (1), 2016)

Sketching and Neural Networks. - Amit Daniely; Nevena Lazic; Yoram Singer; Kunal Talwar (CoRR, 2016)

Short and Deep: Sketching and Neural Networks. - Amit Daniely; Nevena Lazic; Yoram Singer; Kunal Talwar (ICLR (Workshop), 2017)

Online Linear Quadratic Control. - Alon Cohen; Avinatan Hassidim; Tomer Koren; Nevena Lazic; Yishay Mansour; Kunal Talwar (ICML, 2018)

Data center cooling using model-predictive control. - Nevena Lazic; Craig Boutilier; Tyler Lu; Eehern Wong; Binz Roy; M. K. Ryu; Greg Imwalle (NeurIPS, 2018)

Regret Bounds for Model-Free Linear Quadratic Control. - Yasin Abbasi-Yadkori; Nevena Lazic; Csaba Szepesvári (CoRR, 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)

Model-Free Linear Quadratic Control via Reduction to Expert Prediction. - Yasin Abbasi-Yadkori; Nevena Lazic; Csaba Szepesvári (AISTATS, 2019)

Exploration-Enhanced POLITEX. - Yasin Abbasi-Yadkori; Nevena Lazic; Csaba Szepesvári; Gellért Weisz (CoRR, 2019)

Robotic Table Tennis with Model-Free Reinforcement Learning. - Wenbo Gao; Laura Graesser; Krzysztof Choromanski; Xingyou Song; Nevena Lazic; Pannag Sanketi; Vikas Sindhwani; Navdeep Jaitly (IROS, 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 001; Dale Schuurmans (NeurIPS, 2020)

Provably Efficient Adaptive Approximate Policy Iteration. - Botao Hao; Nevena Lazic; Yasin Abbasi-Yadkori; Pooria Joulani; Csaba Szepesvári (CoRR, 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)

Adaptive Approximate Policy Iteration. - Botao Hao; Nevena Lazic; Yasin Abbasi-Yadkori; Pooria Joulani; Csaba Szepesvári (AISTATS, 2021)

Improved Regret Bound and Experience Replay in Regularized Policy Iteration. - Nevena Lazic; Dong Yin; Yasin Abbasi-Yadkori; Csaba Szepesvári (ICML, 2021)

Optimization Issues in KL-Constrained Approximate Policy Iteration. - Nevena Lazic; Botao Hao; Yasin Abbasi-Yadkori; Dale Schuurmans; Csaba Szepesvári (CoRR, 2021)

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

Efficient local planning with linear function approximation. - Dong Yin; Botao Hao; Yasin Abbasi-Yadkori; Nevena Lazic; Csaba Szepesvári (ALT, 2022)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 2023)

Sample Efficient Deep Reinforcement Learning via Local Planning. - Dong Yin; Sridhar Thiagarajan; Nevena Lazic; Nived Rajaraman; Botao Hao; Csaba Szepesvári (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; et al. (CoRR, 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; et al. (CoRR, 2023)

A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits. - Yasin Abbasi-Yadkori; András György 001; Nevena Lazic (J. Mach. Learn. Res., 2023)

Achieving Human Level Competitive Robot Table Tennis. - 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; et al. (CoRR, 2024)

Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence. - András György 001; Tor Lattimore; Nevena Lazic; Csaba Szepesvári (CoRR, 2025)

Frontier LLMs Still Struggle with Simple Reasoning Tasks. - Alan Malek; Jiawei Ge 003; Nevena Lazic; Chi Jin 001; András György 001; Csaba Szepesvári (CoRR, 2025)