2 citations · 6 across the 31 of their papers we have counts for
10 papers · 1 filter
On Characterizations for Language Generation: Interplay of Hallucinations, Breadth, and Stability
Alkis Kalavasis, Anay Mehrotra, Grigoris Velegkas
We study language generation in the limit - introduced by Kleinberg and Mullainathan [KM24] - building on classical works of Gold [Gol67] and Angluin [Ang79]. [KM24]'s main result…
Computational Lower Bounds for Regret Minimization in Normal-Form Games
Ioannis Anagnostides, Alkis Kalavasis, Tuomas Sandholm
A celebrated connection in the interface of online learning and game theory establishes that players minimizing swap regret converge to correlated equilibria (CE) -- a seminal game…
Barriers to Welfare Maximization with No-Regret Learning
Ioannis Anagnostides, Alkis Kalavasis, Tuomas Sandholm
A celebrated result in the interface of online learning and game theory guarantees that the repeated interaction of no-regret players leads to a coarse correlated equilibrium (CCE)…
On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse
Alkis Kalavasis, Anay Mehrotra, Grigoris Velegkas
Specifying all desirable properties of a language model is challenging, but certain requirements seem essential. Given samples from an unknown language, the trained model should pr…
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening
Alkis Kalavasis, Anay Mehrotra, Manolis Zampetakis
Inverse propensity-score weighted (IPW) estimators are prevalent in causal inference for estimating average treatment effects in observational studies. Under unconfoundedness, give…
On Sampling from Ising Models with Spectral Constraints
Andreas Galanis, Alkis Kalavasis, Anthimos Vardis Kandiros
We consider the problem of sampling from the Ising model when the underlying interaction matrix has eigenvalues lying within an interval of length . Recent work in this setting…
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou +3
As ML models become increasingly complex and integral to high-stakes domains such as finance and healthcare, they also become more susceptible to sophisticated adversarial attacks.…
On the Computational Landscape of Replicable Learning
Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas +1
We study computational aspects of algorithmic replicability, a notion of stability introduced by Impagliazzo, Lei, Pitassi, and Sorrell [2022]. Motivated by a recent line of work t…
Transfer Learning Beyond Bounded Density Ratios
Alkis Kalavasis, Ilias Zadik, Manolis Zampetakis
We study the fundamental problem of transfer learning where a learning algorithm collects data from some source distribution but needs to perform well with respect to a differe…
Replicable Learning of Large-Margin Halfspaces
Alkis Kalavasis, Amin Karbasi, Kasper Green Larsen +2
We provide efficient replicable algorithms for the problem of learning large-margin halfspaces. Our results improve upon the algorithms provided by Impagliazzo, Lei, Pitassi, and S…