Adel Javanmard

106 papers A* 15A 1B 5Misc 1Journal 75Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Scientific Research with Gemini: Case Studies and Common Techniques. CoRR David P. Woodruff, Vincent Cohen-Addad, Lalit Jain, Jieming Mao, Song Zuo, MohammadHossein Bateni, Simina Brânzei, Michael P. Brenner, Lin Chen, Ying Feng, Lance Fortnow, Gang Fu, Ziyi Guan, Zahra Hadizadeh, Mohammad T. Hajiaghayi, Mahdi JafariRaviz, Adel Javanmard, Karthik C. S., Ken-ichi Kawarabayashi, Ravi Kumar, Silvio Lattanzi, Euiwoong Lee, Yi Li, Ioannis Panageas, Dimitris Paparas, Benjamin Przybocki, Bernardo Subercaseaux, Ola Svensson, Shayan Taherijam, Xuan Wu, Eylon Yogev, Morteza Zadimoghaddam, Samson Zhou, Yossi Matias, James Manyika, Vahab Mirrokni
2026	J	`jnl`	Aletheia tackles FirstProof autonomously. CoRR Tony Feng, Junehyuk Jung, Sang-hyun Kim, Carlo Pagano, Sergei Gukov, Cheng-Chiang Tsai, David P. Woodruff, Adel Javanmard, Aryan Mokhtari, Dawsen Hwang, Yuri Chervonyi, Jonathan N. Lee, Garrett Bingham, Trieu H. Trinh, Vahab Mirrokni, Quoc V. Le, Thang Luong
2026	J	`jnl`	Progress on the Courtade-Kumar Conjecture: Optimal High-Noise Entropy Bounds and Generalized Coordinate-wise Mutual Information. CoRR Adel Javanmard, David P. Woodruff
2026	J	`jnl`	Robust Policy Optimization to Prevent Catastrophic Forgetting. CoRR Mahdi Sabbaghi, George J. Pappas, Adel Javanmard, Hamed Hassani
2026	J	`jnl`	Theoretical Perspectives on Data Quality and Synergistic Effects in Pre- and Post-Training Reasoning Models. CoRR Adel Javanmard, Baharan Mirzasoleiman, Vahab Mirrokni
2025	A*	`conf`	DeepCrossAttention: Supercharging Transformer Residual Connections. ICML Mike Heddes, Adel Javanmard, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni
2025	J	`jnl`	DeepCrossAttention: Supercharging Transformer Residual Connections. CoRR Mike Heddes, Adel Javanmard, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni
2025	J	`jnl`	Differentially Private Model-X Knockoffs via Johnson-Lindenstrauss Transform. CoRR Yuxuan Tao, Adel Javanmard
2025	—	`conf`	Differentially Private Synthetic Data Release for Topics API Outputs. KDD (2) Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Andrés Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
2025	J	`jnl`	Differentially Private Synthetic Data Release for Topics API Outputs. CoRR Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Andrés Muñoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong
2025	A*	`conf`	Improving the Variance of Differentially Private Randomized Experiments through Clustering. ICML Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie
2025	A*	`conf`	Integer Programming for Generalized Causal Bootstrap Designs. ICML Jennifer Rogers Brennan, Sébastien Lahaie, Adel Javanmard, Nick Doudchenko, Jean Pouget-Abadie
2025	J	`jnl`	Pearson Chi-Squared Conditional Randomization Test. IEEE Trans. Inf. Theory Adel Javanmard, Mohammad Mehrabi
2025	A*	`conf`	Retraining with Predicted Hard Labels Provably Increases Model Accuracy. ICML Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong
2025	A*	`conf`	Robust Feature Learning for Multi-Index Models in High Dimensions. ICLR Alireza Mousavi Hosseini, Adel Javanmard, Murat A. Erdogdu
2025	J	`jnl`	Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing. CoRR Adel Javanmard, Rudrajit Das, Alessandro Epasto, Vahab Mirrokni
2025	J	`jnl`	Understanding the Role of Training Data in Test-Time Scaling. CoRR Adel Javanmard, Baharan Mirzasoleiman, Vahab Mirrokni
2024	J	`jnl`	Adversarial Robustness for Latent Models: Revisiting the Robust-Standard Accuracies Tradeoff. Oper. Res. Adel Javanmard, Mohammad Mehrabi
2024	A*	`conf`	Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions. ICLR Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu
2024	J	`jnl`	Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions. CoRR Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu
2024	J	`jnl`	Multi-Task Dynamic Pricing in Credit Market with Contextual Information. CoRR Adel Javanmard, Jingwei Ji, Renyuan Xu
2024	A*	`conf`	Optimistic Rates for Learning from Label Proportions. COLT Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni
2024	J	`jnl`	Optimistic Rates for Learning from Label Proportions. CoRR Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni
2024	A*	`conf`	PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses. ICML Adel Javanmard, Matthew Fahrbach, Vahab Mirrokni
2024	J	`jnl`	PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses. CoRR Adel Javanmard, Matthew Fahrbach, Vahab Mirrokni
2024	J	`jnl`	Retraining with Predicted Hard Labels Provably Increases Model Accuracy. CoRR Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong
2024	J	`jnl`	Robust Feature Learning for Multi-Index Models in High Dimensions. CoRR Alireza Mousavi Hosseini, Adel Javanmard, Murat A. Erdogdu
2024	J	`jnl`	Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. J. Mach. Learn. Res. Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao
2023	A*	`conf`	Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization. NeurIPS Adel Javanmard, Vahab Mirrokni
2023	J	`jnl`	Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization. CoRR Adel Javanmard, Vahab Mirrokni
2023	J	`jnl`	Causal Inference with Differentially Private (Clustered) Outcomes. CoRR Adel Javanmard, Vahab Mirrokni, Jean Pouget-Abadie
2023	A*	`conf`	Learning Rate Schedules in the Presence of Distribution Shift. ICML Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah
2023	J	`jnl`	Learning Rate Schedules in the Presence of Distribution Shift. CoRR Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah
2023	J	`jnl`	Measuring Re-identification Risk. CoRR CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andrés Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
2023	J	`jnl`	Measuring Re-identification Risk. Proc. ACM Manag. Data CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Muñoz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, Peilin Zhong
2023	J	`jnl`	Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. CoRR Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao
2022	J	`jnl`	GRASP: A Goodness-of-Fit Test for Classification Learning. CoRR Adel Javanmard, Mohammad Mehrabi
2022	J	`jnl`	The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression. CoRR Hamed Hassani, Adel Javanmard
2021	J	`jnl`	Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff. CoRR Adel Javanmard, Mohammad Mehrabi
2021	J	`jnl`	Controlling the False Split Rate in Tree-Based Aggregation. CoRR Simeng Shao, Jacob Bien, Adel Javanmard
2021	J	`jnl`	Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions. Oper. Res. Negin Golrezaei, Adel Javanmard, Vahab S. Mirrokni
2021	A*	`conf`	Fundamental Tradeoffs in Distributionally Adversarial Training. ICML Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup B. Rao, Tung Mai
2021	J	`jnl`	Fundamental Tradeoffs in Distributionally Adversarial Training. CoRR Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai
2020	J	`jnl`	Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions. CoRR Negin Golrezaei, Adel Javanmard, Vahab S. Mirrokni
2020	B	`conf`	Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity. ISIT Adel Javanmard, Hamid Nazerzadeh, Simeng Shao
2020	J	`jnl`	Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. J. Mach. Learn. Res. Ery Arias-Castro, Adel Javanmard, Bruno Pelletier
2020	J	`jnl`	Precise Statistical Analysis of Classification Accuracies for Adversarial Training. CoRR Adel Javanmard, Mahdi Soltanolkotabi
2020	A*	`conf`	Precise Tradeoffs in Adversarial Training for Linear Regression. COLT Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani
2020	J	`jnl`	Precise Tradeoffs in Adversarial Training for Linear Regression. CoRR Adel Javanmard, Mahdi Soltanolkotabi, Hamed Hassani
2019	J	`jnl`	Analysis of a Two-Layer Neural Network via Displacement Convexity. CoRR Adel Javanmard, Marco Mondelli, Andrea Montanari
2019	A*	`conf`	Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions. NeurIPS Negin Golrezaei, Adel Javanmard, Vahab S. Mirrokni
2019	J	`jnl`	Dynamic Pricing in High-dimensions. J. Mach. Learn. Res. Adel Javanmard, Hamid Nazerzadeh
2019	J	`jnl`	Multi-Product Dynamic Pricing in High-Dimensions with Heterogenous Price Sensitivity. CoRR Adel Javanmard, Hamid Nazerzadeh, Simeng Shao
2019	J	`jnl`	New Computational and Statistical Aspects of Regularized Regression with Application to Rare Feature Selection and Aggregation. CoRR Amin Jalali, Adel Javanmard, Maryam Fazel
2019	J	`jnl`	Online Debiasing for Adaptively Collected High-dimensional Data. CoRR Yash Deshpande, Adel Javanmard, Mohammad Mehrabi
2019	J	`jnl`	Theoretical Insights Into the Optimization Landscape of Over-Parameterized Shallow Neural Networks. IEEE Trans. Inf. Theory Mahdi Soltanolkotabi, Adel Javanmard, Jason D. Lee
2019	J	`jnl`	onlineFDR: an R package to control the false discovery rate for growing data repositories. Bioinform. David S. Robertson, Jan Wildenhain, Adel Javanmard, Natasha A. Karp
2018	J	`jnl`	False Discovery Rate Control via Debiased Lasso. CoRR Adel Javanmard, Hamid Javadi
2018	J	`jnl`	Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning. CoRR Ery Arias-Castro, Adel Javanmard, Bruno Pelletier
2017	J	`jnl`	A Flexible Framework for Hypothesis Testing in High-dimensions. CoRR Adel Javanmard, Jason D. Lee
2017	J	`jnl`	Novel probabilistic models of spatial genetic ancestry with applications to stratification correction in genome-wide association studies. Bioinform. Anand Bhaskar, Adel Javanmard, Thomas A. Courtade, David Tse
2017	J	`jnl`	Perishability of Data: Dynamic Pricing under Varying-Coefficient Models. CoRR Adel Javanmard
2017	J	`jnl`	Perishability of Data: Dynamic Pricing under Varying-Coefficient Models. J. Mach. Learn. Res. Adel Javanmard
2017	J	`jnl`	Theoretical insights into the optimization landscape of over-parameterized shallow neural networks. CoRR Mahdi Soltanolkotabi, Adel Javanmard, Jason D. Lee
2016	J	`jnl`	Dynamic Pricing in High-dimensions. CoRR Adel Javanmard, Hamid Nazerzadeh
2016	J	`jnl`	Online Rules for Control of False Discovery Rate and False Discovery Exceedance. CoRR Adel Javanmard, Andrea Montanari
2016	J	`jnl`	Performance of a community detection algorithm based on semidefinite programming. CoRR Adel Javanmard, Andrea Montanari, Federico Ricci-Tersenghi
2015	Misc	`conf`	1-bit matrix completion under exact low-rank constraint. CISS Sonia A. Bhaskar, Adel Javanmard
2015	J	`jnl`	Nowhere-zero Unoriented Flows in Hamiltonian Graphs. Ars Comb. Saieed Akbari, Akbar Daemi, Omid Hatami, Adel Javanmard, Abbas Mehrabian
2015	J	`jnl`	On Online Control of False Discovery Rate. CoRR Adel Javanmard, Andrea Montanari
2015	J	`jnl`	Phase Transitions in Semidefinite Relaxations. CoRR Adel Javanmard, Andrea Montanari, Federico Ricci-Tersenghi
2014	J	`jnl`	Confidence intervals and hypothesis testing for high-dimensional regression. J. Mach. Learn. Res. Adel Javanmard, Andrea Montanari
2014	J	`jnl`	Hypothesis Testing in High-Dimensional Regression Under the Gaussian Random Design Model: Asymptotic Theory. IEEE Trans. Inf. Theory Adel Javanmard, Andrea Montanari
2013	J	`jnl`	Confidence Intervals and Hypothesis Testing for High-Dimensional Regression. CoRR Adel Javanmard, Andrea Montanari
2013	—	`conf`	Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models. NIPS Adel Javanmard, Andrea Montanari
2013	J	`jnl`	Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems CoRR Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy
2013	J	`jnl`	Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory CoRR Adel Javanmard, Andrea Montanari
2013	J	`jnl`	Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing. IEEE Trans. Inf. Theory David L. Donoho, Adel Javanmard, Andrea Montanari
2013	—	`conf`	Learning Linear Bayesian Networks with Latent Variables. ICML (1) Animashree Anandkumar, Daniel J. Hsu, Adel Javanmard, Sham M. Kakade
2013	J	`jnl`	Localization from Incomplete Noisy Distance Measurements. Found. Comput. Math. Adel Javanmard, Andrea Montanari
2013	J	`jnl`	Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition CoRR Adel Javanmard, Andrea Montanari
2013	—	`conf`	Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition. NIPS Adel Javanmard, Andrea Montanari
2013	J	`jnl`	Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression. CoRR Adel Javanmard, Andrea Montanari
2013	—	`conf`	Nearly optimal sample size in hypothesis testing for high-dimensional regression. Allerton Adel Javanmard, Andrea Montanari
2012	—	`conf`	Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems. NIPS Morteza Ibrahimi, Adel Javanmard, Benjamin Van Roy
2012	B	`conf`	Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing. ISIT David L. Donoho, Adel Javanmard, Andrea Montanari
2012	J	`jnl`	Learning Linear Bayesian Networks with Latent Variables CoRR Animashree Anandkumar, Daniel J. Hsu, Adel Javanmard, Sham M. Kakade
2012	J	`jnl`	Multi-track Map Matching CoRR Adel Javanmard, Maya Haridasan, Li Zhang
2012	—	`conf`	Multi-track map matching. SIGSPATIAL/GIS Adel Javanmard, Maya Haridasan, Li Zhang
2012	A	`conf`	Poster: multi-track map matching. MobiSys Adel Javanmard, Maya Haridasan, Li Zhang
2012	J	`jnl`	State Evolution for General Approximate Message Passing Algorithms, with Applications to Spatial Coupling CoRR Adel Javanmard, Andrea Montanari
2012	J	`jnl`	Subsampling at Information Theoretically Optimal Rates CoRR Adel Javanmard, Andrea Montanari
2012	B	`conf`	Subsampling at information theoretically optimal rates. ISIT Adel Javanmard, Andrea Montanari
2012	J	`jnl`	The minimax risk of truncated series estimators for symmetric convex polytopes CoRR Adel Javanmard, Li Zhang
2012	B	`conf`	The minimax risk of truncated series estimators for symmetric convex polytopes. ISIT Adel Javanmard, Li Zhang
2012	A*	`conf`	Versatile refresh: low complexity refresh scheduling for high-throughput multi-banked eDRAM. SIGMETRICS Mohammad Alizadeh, Adel Javanmard, Shang-Tse Chuang, Sundar Iyer, Yi Lu
2011	A*	`conf`	Analysis of DCTCP: stability, convergence, and fairness. SIGMETRICS Mohammad Alizadeh, Adel Javanmard, Balaji Prabhakar
2011	J	`jnl`	Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing CoRR David L. Donoho, Adel Javanmard, Andrea Montanari
2011	J	`jnl`	Localization from Incomplete Noisy Distance Measurements CoRR Adel Javanmard, Andrea Montanari
2011	B	`conf`	Localization from incomplete noisy distance measurements. ISIT Adel Javanmard, Andrea Montanari
2011	J	`jnl`	Robust Max-Product Belief Propagation CoRR Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari
2011	—	`conf`	Robust max-product belief propagation. ACSCC Morteza Ibrahimi, Adel Javanmard, Yashodhan Kanoria, Andrea Montanari
2010	J	`jnl`	Zero-Sum Flows in Regular Graphs. Graphs Comb. Saieed Akbari, Akbar Daemi, Omid Hatami, Adel Javanmard, Abbas Mehrabian
2009	J	`jnl`	Analytical evaluation of average delay and maximum stable throughput along a typical two-way street for vehicular ad hoc networks in sparse situations. Comput. Commun. Adel Javanmard, Farid Ashtiani
2009	J	`jnl`	Mobility Modeling, Spatial Traffic Distribution, and Probability of Connectivity for Sparse and Dense Vehicular Ad Hoc Networks. IEEE Trans. Veh. Technol. G. Hosein Mohimani, Farid Ashtiani, Adel Javanmard, Maziyar Hamdi
2008	—	`conf`	Estimating the mixing matrix in underdetermined Sparse Component Analysis (SCA) using consecutive independent component analysis (ICA). EUSIPCO Adel Javanmard, P. Pad, Massoud Babaie-Zadeh, Christian Jutten